Avis aux usages de la ligne 4, des perturbations sont à prévoir sur votre ligne ce dimanche 26 mai 2024. Traffic will be completely interrupted in the morning until midday.

Line 4: traffic disrupted on the entire line this Sunday morning, May 26, 2024 - Sortiraparis.com

Transporta

transporta

In an era where urban mobility challenges increasingly impact quality of life and economic productivity, the remarkable success of the SR-7 (US-441) Corridor Retiming Project in West Palm Beach, Florida stands as a testament to exceptional traffic engineering and operational excellence. Under the leadership of Senior Technical Consultant Sathish Rao, this strategic infrastructure optimization initiative has set new benchmarks for transportation systems management in one of Florida's most critical corridors. The project, spanning from Southern Boulevard to Hypoluxo Road, represented a significant challenge in urban traffic flow management. Working under the Florida Department of Transportation (FDOT) Regional Traffic Management Center Operations contract, Rao faced the complex task of analyzing traffic patterns, implementing advanced signal timing strategies, and coordinating with multiple stakeholders while maintaining uninterrupted traffic flow in a heavily utilized corridor. At the heart of this success story was a methodical approach to traffic systems analysis and optimization. Rao implemented innovative traffic management strategies that not only met but substantially exceeded performance targets. The project delivered impressive results across multiple metrics: increased average traveling speeds for motorists, improved signal timing quality, reduced travel times, decreased delays, and fewer vehicle stops throughout the corridor. The impact of this expert implementation extended far beyond conventional traffic metrics. Through strategic planning and cutting-edge traffic management techniques, the project achieved substantial environmental and economic benefits. These included quantifiable reductions in fuel consumption, vehicle maintenance costs, and harmful emissions (ROG, NOx, PM10, CO, and CO2), demonstrating how effective transportation management can simultaneously improve mobility while supporting sustainability goals. Perhaps most notably, Rao's expertise was called upon during some of the most challenging traffic management scenarios possible – presidential visits and high-profile events in Palm Beach County. These situations required exceptional real-time decision-making skills, as he developed detour and alternative routes for citizens while maintaining security parameters. His ability to make real-time signal timing adjustments during incidents such as crashes, congestion, hazardous material spills, road construction, and holiday events proved invaluable to maintaining traffic flow under extraordinary circumstances. Stakeholder management played a crucial role in the project's success. Rao's responsiveness to requests from county commissioners, local government officials, and concerned citizens demonstrated his commitment to community-focused traffic management. His work within this critical county facility underscored the essential role that transportation systems management plays in community resilience and quality of life. For Rao personally, these projects represent significant professional achievements that showcase his unique combination of technical expertise and strategic thinking. With master's degrees in both Civil Engineering and Business Administration, he brings an exceptional educational foundation to his work. His impressive credential portfolio includes Project Management Professional (PMP) certification, International Municipal Signal Association (IMSA) Traffic Signal Senior Technical Level III certification, Florida's Maintenance of Traffic Active Temporary Traffic Control certification, and multiple Federal Emergency Management Agency (FEMA) National Incident Management System certifications. His contributions extend beyond implementation into research and innovation, with published studies on transportation safety innovations including Restricted Crossing U-Turns and Diverging Diamond Interchanges. This combination of practical experience and research involvement positions him at the forefront of transportation systems management and operations. This success story illustrates how strategic expertise, when combined with effective implementation practices, can transform urban mobility. The SR-7 Corridor Retiming Project not only contributed to improved traffic flow but also established new standards for transportation systems management. As urban areas continue to grow and mobility challenges increase, this project serves as a compelling example of how focused technical leadership can drive exceptional results in transportation infrastructure optimization. Looking ahead, the implications of these achievements extend beyond immediate improvements. They demonstrate how effective transportation systems management can overcome complex urban mobility challenges while delivering exceptional value to communities. As smart city initiatives expand, Rao's work stands as a model for future transportation optimization efforts, showcasing the powerful combination of technical expertise, operational excellence, and community responsiveness in driving success in critical infrastructure management. About Sathish Rao Sathish Rao brings over a decade of specialized expertise to the field of transportation systems engineering and traffic management. His dual academic background—holding master's degrees in Civil Engineering and Business Administration—provides him with a unique perspective that balances technical innovation with practical business solutions. Throughout his career, Rao has established himself as a trusted authority in Intelligent Transportation Systems (ITS), particularly in high-stakes environments requiring real-time decision-making. His professional credentials include the prestigious Project Management Professional (PMP) certification and the advanced International Municipal Signal Association (IMSA) Traffic Signal Senior Technical Level III designation. Rao maintains specialized certifications in emergency management through FEMA, traffic control operations, and weather monitoring as a certified NOAA Skywarn spotter—essential skills for comprehensive traffic management during critical situations. As a published researcher in transportation safety innovations, Rao continues to contribute to the evolution of traffic engineering through his studies on advanced intersection designs and traffic flow optimization techniques. His commitment to creating safer, more efficient transportation networks drives his ongoing pursuit of innovative solutions that improve mobility while enhancing sustainability across Florida's critical infrastructure systems. This story was distributed as a release by Echospire Media under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Echospire Media under HackerNoon’s Business Blogging Program. Learn more about the program here. here here

Transforming Urban Mobility: Excellence in Transportation Systems Management by Sathish Rao

የመኖሪያ ተንቀሳቃሽነት ንድፍ: የመጓጓጓዣ ስርዓቶች አስተዳደር በ Sathish Rao

Μετασχηματισμός της αστικής κινητικότητας: Αριστεία στη διαχείριση συστημάτων μεταφορών από τον Sathish Rao

Transformando la movilidad urbana: excelencia en la gestión de sistemas de transporte por Sathish Rao

「Transforming Urban Mobility: Excellence in Transportation Systems Management」 by Sathish Rao

Transforming Urban Mobility: Excellence in Transportation Systems Management მიერ Sathish Rao

ការផ្លាស់ប្តូរការដឹកជញ្ជូនទីក្រុង: Excellence in Transportation Systems Management ដោយ Sathish Rao

Transforming Urban Mobility: Excellence in Transportation Systems Management ໂດຍ Sathish Rao

Transformavimas miesto mobilumo: kompetencijos transporto sistemų valdymo Sathish Rao

Урбаны хөдөлгөөн өөрчлөх: Сатиш Рао-ийн тээврийн систем менежментийн үзэсгэлэн

සංචාරක පද්ධති කළමනාකරණයේ විශිෂ්ටත්වය by Sathish Rao

Transforming Urban Mobility: Excellence in Transportation Systems Management by Sathish Rao (பூமியில் மொபைல் இயக்கத்தை மாற்ற)

I-Transforming Urban Mobility: I-Excellence in Management of Transportation Systems ngu-Sathish Rao

You can jump to any section of the National Aeronautics Science & Technology Priorities here. Department of Transportation (DOT) As the primary regulators of the aviation industry, the DOT and the FAA foster innovation while maintaining aviation safety through the establishment of enabling policy and regulations. The certification of aircraft, pilots, air service companies, and the provision of air traffic management are all key responsibilities of the FAA, while the DOT has authority for economic licensing of air carriers, and policies that promote competition and aviation consumer protection. The over 2.3 million passengers on 50,000 flights that move daily through the NAS could increase by 50 percent by 2027. The United States is focused on completing the FAA NextGen. NextGen is already improving safety, capacity, and efficiency on runways and in our skies while reducing the consumption of aviation fuel, GHG emissions, and noise. The FAA collaborates with stakeholders on this long-term strategic plan by improving (1) air traffic control system reliability and predictability, (2) efficiency and thus environmental sustainability, and (3) air traffic control system capacity, all undergirded by the axiomatic commitment to maintaining safety. The NAS continues to build on past successes in deploying Performance Based Navigation, especially for departures and arrivals; shifting strategic airto-ground communication from radio voice to data communications; and deploying a second-to-none surveillance infrastructure. Strengthening bilateral agreements with partner nations and supporting sustainability goals for net-zero GHG emissions by 2050 will position the FAA to lead aviation and will ensure the United States’ global technological competitiveness. Grant programs such as DOT’s Strengthening Mobility and Revolutionizing Transportation grants, FAA’s aviation workforce grants, and Fueling Aviation’s Sustainable Transition grants offer opportunities for communities and industry to focus on advanced smart community technologies, the development of the aviation workforce and the advancement of SAFs. Public-private partnerships like the Continuous Lower Energy, Emissions and Noise Program work to accelerate the development of aircraft technologies that reduce fuel consumption, and emissions and noise in the next generation of aircraft. The DOT and the FAA will continue to engage directly with industry and communities to optimize the efficiency of aviation operations while mitigating aviation noise and emissions. This was originally published in March 2023 on . It has been broken-up into bite sized sections, each with unique headlines and AI-generated lead images, in line with the provisions of whitehouse.gov Creative Commons 3.0.

How the FAA and Dept of Transportation Drive Air Travel Innovation

You can jump to any section of the National Aeronautics Science & Technology Priorities here. National Transportation Safety Board (NTSB) The NTSB’s top strategic priority is to be prepared to investigate accidents involving emerging transportation technologies and systems. Innovations in transportation, such as uncrewed aircraft systems, advanced air mobility, supersonic aircraft, and clean energy propulsion will continually challenge the NTSB to grow and expand investigation processes and tools. The agency has established a multimodal emerging technologies team to ensure NTSB investigator professional development and develop best practices for investigating such technologies. The team continues to collaborate with government and industry stakeholders to advocate for emerging transportation technologies to record the necessary data to fully understand the circumstances after any future mishap the agency would investigate. This was originally published in March 2023 on It has been broken-up into bite sized sections, each with unique headlines and AI-generated lead images, in line with the provisions of whitehouse.gov. Creative Commons 3.0.

National Transportation Safety Board Reaffirms Its Commitment to Vetting New Air Travel Tech 

At times, autonomous transportation seems like an unreachable goal. Automakers and AI companies have discussed the possibilities for years, yet we’re not much closer to self-driving cars now than in 2020. could help get the transportation industry nearer to that goal. Cloud-based architectures No single technology will solve the self-driving riddle. Vehicle autonomy is highly complex, so when fully driverless cars do emerge, it’ll be a culmination of cutting-edge tech. That said, the cloud could be an important but overlooked part of that puzzle. Where Are All the Self-Driving Cars? Back in 2018, Tesla CEO Elon Musk predicted the company would have , but clearly, that didn’t happen. Autonomous features like adaptive cruise control and lane correction have become more common, but full self-driving remains an elusive target. AI has made massive strides since then, and there’s more driving data for these cars to use than ever, so why aren’t they a reality yet? fully autonomous cars by 2019 There are multiple obstacles in the way. Most notably, traffic. AI is best at logical, data-based tasks. Traffic — despite the many laws trying to make it otherwise — is unpredictable. The AI in self-driving cars must anticipate , determine which is most likely, and act on it in fractions of a second. That requires a lot of data and a lot of processing power. billions of possible scenarios Poor road conditions and other environmental factors could also hinder the sensors these AI models rely on. Considering how a single mistake on the road could cost lives, people aren’t always excited to take any risks with the technology, either. Consequently, there are social and political barriers, too. How Cloud Architecture Could Help Cloud architecture can’t address all of these obstacles, but it helps with a few of them. If the transportation industry embraced the cloud, it could get them one step closer to full autonomy. Boosting Processing Power One of the biggest ways cloud architecture aids self-driving vehicles is by providing more computing power. It’s not exactly easy to put a supercomputer in a car and keep it practical and affordable. However, cloud providers design their data centers and be scalable, offering a solution. to support advanced technologies The cloud lets vehicles connect to computing resources they wouldn’t be able to fit within the car itself. That way, the car’s onboard hardware no longer limits the kinds of processes it can run. The cloud model also reduces the financial barrier to entry for using these kinds of resources, helping keep autonomous cars affordable. Self-driving cars still need some onboard computing capacity to support them in remote areas where they may lack a strong connection. So, while cities are the most unpredictable driving environments, they are the easiest places to implement these kinds of cloud connections. Autonomous vehicles would have the most processing power where they need it the most. Letting Cars Teach Each Other Easier data-sharing is another advantage of the cloud for autonomous driving. If self-driving cars connect to a common cloud to share their traffic data, they’d accelerate each other’s machine learning. Reliable AI requires a lot of data, and autonomous driving models require more than most because of how varied road conditions are. It’s highly unlikely a single car will experience enough of these conditions to learn to adapt to all possible scenarios on its own. If hundreds or thousands of vehicles pull from each other’s experiences in the cloud, they’d learn much more in less time. Cloud communications could also help autonomous vehicles navigate. Smart city infrastructure can by directing traffic according to real-time data across the city. If self-driving cars access this data and share info about traffic in their area with others through the cloud, they’d enable safer, more efficient navigation. improve traffic flow with 95% accuracy Equipping Autonomous Driving for Future Demands It’s also important to consider the cloud’s scalability. Experts say hyper-scalability through the cloud could drive by 2030, making it the most valuable of the cloud’s benefits. That same scalability could future-proof self-driving cars as the pace of innovation rises. over $1.7 trillion in value Over time, researchers will discover ways to improve autonomous vehicles’ safety, versatility, and accuracy. As these changes come, cars’ onboard hardware may grow outdated before they can capitalize on these innovations. The cloud removes that barrier by making it easier for transportation companies to scale their computing resources. Cars could access cutting-edge AI technology regardless of their onboard power by relying on cloud connections. The companies developing self-driving algorithms could expand their own resources faster by using the cloud instead of expensive on-premise data centers. In either case, cloud computing makes it easier to capitalize on new technologies. Autonomous Transportation Needs the Cloud It will still likely be a long time before fully autonomous cars are possible, much less common. Taking advantage of the cloud could shorten that timeline, though. Self-driving cars need massive computing resources, shared information, and scalability. Cloud architectures provide all three. While the cloud isn’t the only technology necessary for scalable, intelligent, autonomous transportation, they are a crucial step in that journey.

Are Cloud-Based Architectures the Key to Scalable and Intelligent Autonomous Transportation?

Let's learn about via these 34 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Transportation /Learn Repo 1. Mass Transit In a Post COVID-19 World As I write this on April 18, 2020, there are over 156,000 global deaths due to COVID-19, which is actually a tiny percent, however, this disease is incredibly communicable and is still not well understood. 2. Hyperloop: A New Player in the Race for Better Transportation When you are running short of time, a long time-consuming journey may feel hectic to you. In such a situation, you may feel a need for transportation technology which can complete your long journey in just a matter of minutes. Hyperloop transportation technology can fulfill this desire. 3. 7 Reasons Why Your Automation Efforts Are Failing Right Now “Companies that failed to incorporate automation in their roadmap experienced a 25% drop in their customer retention,” concluded a survey by Gartner. 4. Uber Cool vs. Face Lyft Let us all admit it! We have always been thrilled by rivalries between two fitting competitors. We have seen it happen between Lionel Messi and Cristiano Ronaldo. We have seen it happen between Roger Federer and Rafael Nadal. The world of technology and business cannot be an exception to this pattern. When it comes to mobile devices and operating systems, it is Google versus Apple. When it comes to enterprise computing, Apple has always been at loggerheads with Microsoft. 5. Automation on the High Seas: AI-driven Cargo Ships Are Here to Stay With the world’s eyes set on automobile manufacturers like Elon Musk’s Tesla, it is easy to lose track of automation in other areas. Automated driving is set to revolutionize the way we move around within the next decade. This is certainly breaking news. The new form of transport promises to cut down traffic accidents and the number of fatalities on the road. It will get us from A to B in a safer, and in all likelihood, more timely manner. 6. Why co-location is the best way to mine bitcoin Since the recent Bitcoin halving event, most small and medium crypto miners have had to shut down their mining rigs. Simply put, it is not profitable to have a mining rig in your home at current market prices. However, there are some solutions to the issue. 7. How to Control your IoT Electric Scooter Fleet Remotely with SORACOM Napter [Part 3] 8. How IoT And Edge Computing Influence Various Industries From healthcare to lifestyle, everything is being influenced by emerging technologies like IoT and edge computing. Moreover, as data remains the foundation of today’s economy, businesses can use these emerging technologies to offer a more personalized experience to their customers. 9. 11 Lessons I Learned From Transforming a Product Organization Key takeaways from transforming a monolithic team into three autonomous squads and much more. 10. 2020 Was The Year Electric Vehicles Truly Arrived 2020: Year of the EV Launch 11. 5 Best Transportation Management Systems (TMS) in 2021/2022 Having a robust TMS adopted to your logistics business has become a staple. A sneak peek at the best ready-made TMS solutions in 2021. Check out fresh insights. 12. Using Data Science To Deal With RTOs Considering how much fraudulent RTOs can cost a business, using data science to mitigate their frequency can help save an e-commerce business money over time. 13. 4 Effective Ways Augmented Reality Solve Issues in Logistics Industry 14. Musk's Open-Source Hyperloop: Players in the Race to Create the First Originally conceived by Elon Musk in 2013, the Hyperloop has been touted as the fastest way to cross the surface of the Earth. Possibly one of the greatest leaps in transportation for generations, the concept promises to slash journey times between cities from several hours to a matter of minutes. On track to revolutionise our world, when can we expect the Hyperloop to become a reality and is it too good to be true? 15. Which Places Are Best Suited to Embrace the Electric Vehicles Movement? CA’s San Jose, LA, and San Francisco Among Top EV Hubs.  EV adoption is likely to expand to more cities  in the future 16. Will Social Distancing Regulations  Boost Taxi Booking Startups? In the past decade, mobile and internet technology has become more  accessible, which has changed the way of travelling. Ride hailing apps such Uber, Lyft or Grab  have  been preferred more by the riders to travel than other offline modes. 17. Recycled Ventures: How to Drive your Startup out of Stagnation Startups lose billions of dollars in VC funding every year, but they can still succeed by “recycling ventures." [18. Edge Computing Is So Fun - Part 2: The Future  Begins with The Road Side Unit](https://hackernoon.com/edge-computing-is-so-fun-part-2-the-future-begins-with-the-road-side-unit-4ls3wrp) This is the second in a series of articles on edge computing, delving into the infrastructure of outdoor edge computing, the emergence of the Roadside Unit as a common building block, a real-life example of the Roadside Unit, and the way forward. 19. [Interview] How Technology Is Reshaping Transportation: Trends and Challenges Why will more people switch to cars as their choice of transportation? When will all vehicles become self-driving? I had the opportunity to sit down and talk about these issues in greater detail with Alexander Sapov, the CEO of GetTransfer.com, one of the biggest airport-to-city transfer providers. 20. Mergers and Acquisitions: The Empire Strikes Again Another $1 billion M&A in the mapping space was hinted at today. Intel, the semiconductor giant will buy Moovit, the multimodal mobility as a service (Maas) platform. The rumors have caused some head shaking, smirking and muttering about those “ridiculous startup valuations”. 21. Asia Light Electric Vehicle Market Set to Reach USD 52.8 billion by 2024 The Asia light electric vechile market is predicted to grow at 7.0% CAGR during the forecast period with the market size reaching USD 52.8 billion by 2024. The market is driven by the factors such as technological advancements, government support, rapid urbanization and low maintenance requirements of these vehicles. [22. Edge Computing Is So Fun Part 3: Help Save The Planet With Smart Cities](https://hackernoon.com/edge-computing-is-so-fun-part-3-help-save-the-planet-with-smart-cities-n5143e85) Figure 1. Singapore was ranked №1 on the Institute for Management Development’s 2020 Smart City Index Report. Credit: International Case Studies of Smart Cities 23. How IoT is Transforming Transportation, Supply Chain, and Logistics In today’s connected world IoT can speed up the rate of delivery actions of vehicles used for logistics and transportation purposes. 24. Elon, I'm Bored [Part One] This Slogging thread by Arthur Tkachenko and Mónica Freitas occurred in slogging's official #random channel, and has been edited for readability. 25. IoT Electric Scooter Cloud Data Collection and Visualization with Soracom + Raspberry Pi [Part 2] 26. Uber CEO Interview, and the Advent of Self Driving Car Technology 27. The Story of Shuttle Planet, Early Traction, and a Bunch of Misfits "Keep going; don’t let fear stop you too much. Focus on the fact that every effect has a cause, find out what that cause is." 28. 12 Years of Blockchain: Where Are The Applications? There were a lot of talking about where and how blockchain is suitable. Attempting to stick the blockchain everywhere and to everything is a parody. 29. How Automatic Vehicle Location Improves Safety for School Buses Real-time communication has become an essential aspect of many industries, and transportation is no exception. With the rise of GPS tracking and internet-enabled devices, it has become easier to track vehicles and provide real-time updates to drivers and passengers. Aleksandr Ulanov, a senior software developer with extensive experience in Ruby development and real-time technologies, has been at the forefront of this development. In his recent work with 4mativ, he has developed a ground-breaking AVL platform that provides real-time updates on the location of school buses to parents and schools. In this interview, Aleksandr discusses the challenges he faced and the solutions he found in developing this platform, as well as the importance of real-time updates in the transportation industry. 30. A Complete Guide To Build A Transport Business From Scratch Transportation is among the very few industries that are part of a multi-trillion dollar range. So, it is definitely a very promising industry to start your business in. 31. Examples of AI Implementation in Transport AI is disrupting many industries, and its impact could be felt across the transport sector. The automotive industry has begun applying artificial intelligence in critical tasks such as self-driving cars, traffic management, etc. where safety and reliability is a major concern. Even though the technology is not being implemented on a wide scale, but it feels like the future of transportation is here. From Tesla’s Autonomous Semi Truck to self-organizing fleets, AI has shown promising results in this domain. 32. Building a Cellular-Connected IoT Electric Scooter w/ Soracom + Raspberry Pi in One Hour [Part 1] 33. How We Added Surge Pricing Capabilities to our IoT eScooter with AWS Lambda and SORACOM Funk This article also comes in video form! 34. Can You React Faster than a Self-Driving Car on 5G Networks? This article is about how self-driving cars and 5G will make roads safer for everyone. Thank you for checking out the 34 most read stories about Transportation on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

34 Stories To Learn About Transportation

In a landscape dominated by profit-driven motives, there are few organizations that truly stand out for their community and societal contributions. One such entity is . 12Go While its primary identity remains that of a leading multimodal online travel agency, it's worth delving into the company’s sustained efforts toward social responsibility, particularly in the Southeast Asian region. Emerging in the early 2010s, 12Go quickly made a name for itself by offering simplified transport bookings across Southeast Asia. It addressed a previously unmet need, making travel within countries like Thailand, Laos, and Myanmar more accessible to locals and tourists alike. But as it traversed the business highways, the company simultaneously embarked on another journey: that of giving back to the community. Helping the Community Starting in 2019, 12Go displayed a notable commitment to bettering the lives of those in challenging situations. Their philanthropic ventures primarily targeted areas with less privileged communities, and it’s evident through their diverse initiatives. In the same year, they spearheaded a donation drive for the Orphan School located at Tonle Sap Lake in Siem Reap, Cambodia. The undertaking aimed at provisioning the school with necessary supplies to facilitate learning and well-being for its students. Photos from this heartfelt campaign can still be found, showcasing the smiles they brought to these young faces. Thailand, being a central operational hub for 12Go, also saw significant contributions. One of their notable campaigns focused on Umpang Hospital in the Tak Province. Situated along the borders of Thailand, Myanmar, and Laos, the hospital primarily catered to impoverished patients. Recognizing the challenges faced by this healthcare institution, 12Go stepped in with donations that spanned from medical equipment to daily necessities. The year 2020 witnessed 12Go’s dedication to education in Thailand. They supported Ban Khoa Kling School with resources that would enhance the academic experience for its students. This commitment to education carried forward to 2022 with their contributions to Ban Yai Mee School in Thailand. But 12Go's community involvement isn't just restricted to specific campaigns. Over the years, they've consistently worked with organizations assisting needy individuals, orphans, and underserved populations in Thailand and its neighboring nations. Whether it's through the provision of essential supplies like drinking water and clothing or through financial assistance, 12Go has consistently displayed a commendable commitment to social responsibility. Their philanthropic journey doesn’t overshadow their achievements in the transport sector. However, it paints a holistic picture of a corporation that understands its role beyond business. In the age of social media, where every good deed can be publicized and marketed, 12Go’s consistent and genuine efforts towards community betterment stand as a testament to their underlying values. In understanding , one can see a model for other corporations to emulate. It’s a demonstration that business success and societal contributions aren't mutually exclusive but can, and should, go hand in hand. 12Go This story was distributed as a release by Ascend under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author

12Go's Philanthropic Journey: Beyond Transportation

El viaje filantrópico de 12Go: más allá del transporte

Le parcours philanthropique de 12Go : au-delà du transport

12गो की परोपकारी यात्रा: परिवहन से परे

12Go の慈善活動の旅: 交通機関を超えて

A jornada filantrópica da 12Go: além do transporte

Hành trình từ thiện của 12Go: Ngoài phương tiện giao thông

12Go 的慈善之旅：超越交通

News about layoffs hits the headlines again and again, and lately, they concern IT companies. Layoffs in the technology sector tend to be the most visible. Since the tech giants have a lot of employees, even a small percentage of layoffs leads to the fact that thousands of people lose their jobs. The numbers are rising: According to Layoffs.fyi, a site that tracks layoffs in the tech industry, more than 160,000 people were laid off in 2022, more than in 2020 and 2021 combined. In 2023, massive layoffs are occurring at 600 companies across all IT sectors, from application development to crypto to enterprise SaaS. The total number of layoffs in 2023 has already exceeded 185 thousand people (20% of them are software engineers). However, the autonomous vehicle market shows real growth. For example, the self-driving taxi service from Waymo (Google branch) in San Francisco was launched in March 2022 and approved by the US National Highway Traffic Safety Administration (NHTSA). Autonomous technologies and ground vehicles go from the demonstration of a prototype system in limited conditions to full-scale tests. This means that autonomous ground vehicles (autonomous vehicles / AVs) are closer than ever to widespread use. But, only a few universities have suitable programs. If the market is growing and autonomous product companies have sharp demand for specialists, it opens good opportunities to work with Mercedes, Jaguar, Land Rover, Tesla, and many other great OEM companies. Understanding of self-driving architecture and expertise in one of its functions. Today we will observe communication based on What could increase your chances to get an offer? 5G technologies. This article delves into contemporary technologies underpinning 5G-based C-V2V, encompassing massive MIMO, multi-radio access, millimeter waves, and software-defined networking. The accelerated pace of these technologies' evolution, combined with the depth of scientific articles and the rising proportion of practical application articles, underscores that 5G C-V2V communication stands as a transformative element in the transportation sector. Its promise lies in its capacity to bolster road safety, alleviate traffic snarls, and uplift the overall driving experience. The Overview 5G succeeds the current 4G standard directly. This new standard is capable of supporting a significantly larger number of devices in a given area than 4G. . This high capacity allows for smooth internet browsing in packed stadiums, making calls from crowded squares during festivities, or managing a robot-operated factory with wireless connections at every point. 5G can support up to a million devices per square kilometer Additionally, 5G boasts the fastest internet speeds (reaching up to 25 GB/s) and has minimal signal transmission delays (around 1-2 milliseconds). Such speeds pave the way for novel technological advancements and business opportunities. For instance, 5G can play a pivotal role in advancing autonomous vehicle technology. Thanks to its minimal delay, autonomous vehicles can seamlessly communicate with infrastructure elements like smart roads, traffic signals, and other vehicles. This data can then be uploaded to cloud storage. To provide perspective on the real-world implications of these delays, let me introduce an example. 5G has a delay of one millisecond, 4G has 50 milliseconds, and a human reaction takes about 700 milliseconds. If a car is traveling at 120 km/h and faces a sudden emergency, a human would typically take around 30 meters (700 milliseconds) to react. A vehicle on a 4G network would experience a delay equivalent to 2 meters before receiving the information. Meanwhile, a vehicle on a 5G network would only experience a delay of 10-15 centimeters (0.1 or 0.15 meters). Comparatively, if we consider the slowest 5G response as the baseline, 4G is 13 times slower, and human reaction is 200 times slower. Such differences in reaction time, measured in meters and milliseconds, can be crucial in life-threatening situations. Indeed, the potential benefits of improved reaction times with 5G can only be fully realized through vehicle-to-everything (V2X) communication, specifically vehicle-to-vehicle (V2V) communication. As cited by the USA National Highway Traffic Safety Administration [1], up to 615,000 motor vehicle accidents could be averted with the implementation of V2V technology. This technology facilitates the exchange of vital data between vehicles, such as speed, position, and intended route. If either the driver or the autonomous driving system can anticipate and process the movements of all nearby vehicles in advance, the incidence of accidents can be substantially reduced. However, this vision can only come to fruition when all vehicles on the road are equipped to send and receive standardized messages coherently. Current Standards of 5G enabled V2V 5G-powered Vehicle-to-Vehicle (V2V) communication stands at the forefront of vehicular technology, poised to on highways and streets. Several prominent bodies, including the 3rd Generation Partnership Project (3GPP), the Institute of Electrical and Electronics Engineers (IEEE), and the Society of Automotive Engineers (SAE), are leading the charge in shaping the standards for this transformative innovation. redefine inter-vehicle interactions 3GPP is crafting a 5G V2V communication framework centered around cellular networks. This blueprint emphasizes rapid data transfer and ultra-low latency inter-vehicle exchanges, vital for maintaining road safety. Meanwhile, IEEE is steering its efforts towards embedding dedicated short-range communication (DSRC) technology in the 5G V2V paradigm. The focus here lies on crafting a communication channel that's both secure and dependable, ensuring the well-being of vehicular occupants and pedestrians alike. On the other hand, SAE envisions a hybrid approach, merging both cellular and DSRC technologies. This methodology aspires to provide uninterrupted vehicle communication, regardless of geographical position or the state of network connectivity. In essence, the emerging standards for 5G-fueled V2V communications converge on the principles of safety, dependability, and swift data exchanges. With its evolution, this tech harbors the promise of reimagining our road travels, ushering in an era of enhanced safety and efficiency for all commuters. Role of the Technologies in 5G-based V2V Communication As was previously discussed, the advent of 5G technology has brought about a paradigm shift in the way we communicate with each other. As vehicles become more autonomous and roads busier, seamless and real-time communication between them becomes paramount. Let me introduce some of the technologies that have a significant impact on the advancement of 5G-based V2V communication. Massive MIMO (Multiple-Input Multiple-Output) Massive MIMO (Multiple-Input Multiple-Output) is pivotal for 5G V2V (Vehicle-to-Vehicle) interactions. This wireless tech utilizes multiple antennas on both transmitting and receiving ends, optimizing communication efficiency and trustworthiness. Thanks to massive MIMO, beamforming becomes possible, offering precise communication routes between vehicles, boosting signal clarity, and diminishing interference. Within the 5G V2V framework, this tech paves the way for rapid data exchanges, lag-free conversations, and stable vehicle connections. It's also instrumental in collision prevention by delivering instant, precise data regarding vehicle movement. Furthermore, massive MIMO broadens network capability and reach, supporting simultaneous communication among numerous vehicles, aiding in decongesting roadways and enhancing traffic movement. To sum up, massive MIMO stands as a foundational element in 5G V2V communication, elevating road efficiency, dependability, and safety. Multi-Radio Access Multi-radio access technologies (RATs) play a crucial role in 5G-based V2V communication by enabling vehicles to communicate with each other using different wireless communication technologies. These include cellular, Wi-Fi, and dedicated short-range communication (DSRC) technologies. Cellular RATs, such as LTE and 5G, provide wide-area coverage and high-speed data transfer capabilities. They can be used for V2V communication in situations where vehicles are far apart or when they need to communicate with vehicles that are outside their immediate vicinity. Wi-Fi RATs, such as IEEE 802.11p, provide high-speed communication over short distances. They are well-suited for V2V communication in dense urban areas or in situations where vehicles are close to each other. DSRC RATs, such as IEEE 802.11p and ITS-G5, are specifically designed for V2V and V2X (vehicle-to-everything) communication. They provide low-latency communication and high reliability, making them ideal for safety-critical applications such as collision avoidance. By using multiple RATs, 5G-based V2V communication can leverage the strengths of each technology to provide reliable and efficient communication between vehicles. This can help to improve safety on the road, reduce congestion, and enhance the overall driving experience. Millimetre Waves Millimetre wave (mmWave) technology is another key component of 5G-based V2V communication. MmWave frequencies, which range from 30 GHz to 300 GHz, offer high bandwidth and low latency, making them ideal for applications such as autonomous driving and real-time traffic monitoring. MmWave technology can be used in conjunction with other RATs to provide high-speed, low-latency communication between vehicles. For example, mmWave can be used for V2V communication in situations where vehicles are traveling at high speeds or when they need to exchange large amounts of data quickly. In addition, mmWave technology can be used for V2I (vehicle-to-infrastructure) communication, enabling vehicles to communicate with roadside units and other infrastructure elements. This can help to improve traffic flow and reduce congestion by providing real-time information about road conditions and traffic patterns. Overall, mmWave technology plays a critical role in 5G-based V2V communication by enabling vehicles to communicate with each other and with the surrounding infrastructure in a fast, reliable, and efficient manner. Software Defined Networking Software Defined Networking (SDN) technologies are worth paying attention to. SDN allows for centralized network control and management, making it easier to deploy and manage complex networks. In the context of V2V communication, SDN can be used to dynamically allocate network resources based on traffic patterns and demand. This can help to ensure that vehicles have the necessary bandwidth and low latency required for real-time communication. SDN can also be used to enable network slicing, which involves creating virtual networks within a physical network. This allows different applications and services to have their dedicated network resources, ensuring that they do not interfere with each other and providing a higher level of service quality. Overall, SDN technologies play a critical role in 5G-based V2V communication by enabling efficient network management and resource allocation, which is essential for ensuring reliable and high-quality communication between vehicles. Challenges While 5G-based C-V2V (Cellular Vehicle-to-Everything) communication promises many advantages, several obstacles must be tackled before its broad implementation. Here are some primary challenges: Implementing 5G-based C-V2V necessitates considerable infrastructure like base stations, antennas, and networking gear. Positioning this infrastructure to guarantee sufficient coverage and bandwidth is particularly difficult in regions with dense vehicle traffic or scarce resources. Infrastructure Needs: 5G-based C-V2V operates within a populated radio frequency range, potentially leading to interference and diminished signal quality. This can jeopardize the system's reliability and efficiency, especially in cities teeming with interference sources. Spectrum Congestion: Given that 5G-based C-V2V communication involves sharing confidential data between vehicles and infrastructure, it's exposed to potential cyber threats and unauthorized access. Safeguarding the integrity and confidentiality of these exchanges is paramount for the system's credibility. Security Concerns: As of now, there's an absence of a worldwide standard for 5G-based C-V2V communication. This can precipitate compatibility challenges across various manufacturers and systems. Formulating a unified standard is vital for unobstructed communication between vehicles and their surroundings. Lack of Universal Standards: Rolling out 5G-based C-V2V demands a hefty expenditure on infrastructure and advanced technologies. It's essential to ensure that the system's advantages justify its costs to encourage its uptake and long-term viability. Expense: Conclusion Autonomous vehicles (AVs) are currently undergoing tests within confined domains and have made their presence felt in numerous cities. For instance, in 2022, commercial autonomous taxis were rolled out in three American cities, with San Francisco being a notable example. The DMV highlighted that AVs covered an impressive of testing from December 2020 to November 2021, a significant leap from the prior year's 2 million miles. 4.1 million miles Yet, it's worth noting that these vehicles are architected as self-reliant, ego-vehicles. Yandex, for instance, has gone on record to say their AVs won't rely on road-side-units (RSUs) or cellular connectivity. Notably, Yandex, Google's Waymo, and Uber are taxi service front-runners. If they managed their autonomous cars as fleets or interconnected vehicles, there are evident advantages to reap. However, the value of V2V or V2X largely rests on the number of vehicles equipped with V2V communication capabilities. If a car can only access data from vehicles within a hundred-mile radius, the functionality's significance dwindles. It's likely clear to industry stakeholders that 5G-based V2V tech is crucial for ITC's success. Utilizing 5G networks, C-V2X, DSRC, AI, and edge computing, vehicles can relay information among each other instantaneously, making roads safer and navigation more efficient. As the world gets increasingly interconnected, V2V communication's significance is magnified, backed by technologies that will only grow more sophisticated. Earlier, the discussion shed light on current C-V2V technologies such as massive MIMO, multi-radio access, millimetre waves, and software-defined networking. The rapid evolution of these technologies, combined with the quality and application-based focus of research papers, indicates that . Its potential to enhance road safety, mitigate traffic bottlenecks, and amplify driving enjoyment is tremendous. Key technologies facilitating 5G V2V communication, which include 5G infrastructure, C-V2X, DSRC, and edge computing, work in concert to deliver rapid, delay-free connectivity. This allows vehicles to converse in real-time. With the ongoing advancements in 5G, V2V communication's horizon appears promising, promising further breakthroughs in the forthcoming years. 5G C-V2V is a game-changing factor for transportation

Revolutionizing Transportation Safety and Efficiency with 5G C-V2V Communication

“There’s a lot of good AI can do to help transportation and infrastructure professionals create value and make people’s daily lives and overall experience better” -Sam Sklar Transportation is the lifeblood of civilisation. It enables the moving of goods from one place to another and as a result, facilitates trade and economic growth which then ensures an increase in the standard of living for citizens. AI has already begun revolutionising transportation as we know it through; self-driving cars, Intelligent Traffic Management, Public Transport, etc. To fully understand the scope of AI’s impact on transportation, I enlisted the help of an expert. Sam is a trained transportation planner and a journalist with well over a decade of experience in breaking down transportation infrastructure. In this interview, I hope to pick Sam’s brain on the potential Pros and Cons when it comes to implementing AI in transportation. Enjoy! You should also check out Sam’s Newsletter; . exasperated infrastructures Edem: Hey Sam! I’m super glad to have you. Could you tell us more about yourself, your qualifications and such? I’m a trained transportation planner and journalist with over a decade of building, communicating, and critiquing projects and processes. I’m currently an independent consultant and lead author of Exasperated Infrastructures, where I am consistently unimpressed with the state of the United States’ ability to build anything at all, even though we just said we’re going to spend $1 trillion on infrastructure. On what exactly. I’m also a quasi-sceptic on AI as a solution in and of itself to problems we haven’t yet identified, so that should make this conversation fun. Sam: Edem: Let’s Jump right in! When People hear about AI's impact, they almost never think of Transportation. Why is that? The one place people currently think of AI and transportation is autonomous vehicles. We think about how cars will one day algorithmically drive themselves. It’s such a huge topic, especially beyond the tech itself. There are ethical and political implications that intersect with the idea of autonomy, especially when it involves economics and safety, too. It’s a whole dissertation to try and untangle the mess. The big theme here is that AVs dominate the space, no one has answers, and we’re expected to just hobble into the future, hat in hand. I think that’s a mistake and problematic. Sam: Edem: I see your point. How do you envision AI will impact the future of transportation? There’s a lot of good AI can do to help transportation and infrastructure professionals create value and make people’s daily lives and overall experience better in the OEM world. A few things: Sam: Just because we don’t have fully self-driving cars, yet, that doesn’t mean that training our 4000-pound metal death machines to avoid hitting each other at high speeds isn’t worth pursuing. It very much is. Tech like this already exists today—cars that can park themselves, cars that recognize an imminent crash and can break faster than a human can react, and cars that can, for a short time, perform all the adjustments needed to maintain a car’s position and speed. These are huge quality-of-life improvements that can’t and shouldn’t be ignored. We should expect leaps in these safety and reliability improvements in the coming months and years. There’s a push in non-car technology coming, too. Think long-haul trucking and transit/trains, and planes. Lots of these modes also already have a lot of AI tech built into their operations, but I can imagine a future where human <> control interaction is minimized. There’s also a big push for ancillary software to help enhance the bus space. Buses are unique in that they often blend into other street traffic with bikes, pedestrians, trucks, vans, and cars. Even with marked bus lanes, a bus traveller can reasonably expect to experience traffic delays, which in turn cause other knock-on effects, like bus bunching and degradation of reliable service. There’s tech to help make sure traffic laws are enforced—cameras that are programmed, and that can reprogram themselves to learn more about their environment so that agencies can automatically issue tickets to offending motorists, for example (Hayden.ai). Edem: In what ways can AI-powered data analysis aid in improving traffic flow and efficiency in busy cities? It’s about speed and recognition of patterns. Computers that process millions of times more data at millions of bits per second can detect anomalies faster than humans ever could. It’s up to us, the programmers, to determine what counts as a problem and what doesn’t. Let’s take a look at an area of interest: traffic signal timing. Right now, aided by computers, traffic engineers and planners can decide the exact timing of intersectional traffic signals—when lights change, how long each light (red, yellow, or green) lasts, and how long a light’s “cycle” is. They can do this across a whole network to maintain a consistent flow of traffic (in a vacuum). Sam: But conditions change: there’s bus bunching because of any number of reasons, likely congestion; there’s a traffic crash or incident; there’s a parade or other motorcade; any number of reasons. There’s a way to mechanically change signal timing, but a trained AI would be able to adjust accordingly, almost instantly. There’s a huge time/economic value savings that we can capture. The AI-powered light system would be able to, should we let it, prioritize transit or bike traffic flow to ensure that our streets are prioritizing the most efficient vehicles. I do want to say though that safety is the most important benefit from AI-powered signal timing. The ability to slow traffic to ensure more vulnerable users can use our streets safely is the biggest benefit of all AI-powered transportation tools. Safety first, dignity second, efficiency third, congestion fourth. Edem: What are the long-term effects of AI on Urban Design and Planning? This is a good question. I’d lean toward how we go about collecting and processing data. We already make decisions based on algorithmic collection and processing of data. Statisticians call it regression—best fitting a trend based on disparately collected data—and then make policy decisions based on either the idea that makes the most people’s lives better or affects people’s lives negatively the least. Planners use our experience and expertise to decide and prove what needs to be included and what doesn’t—what variables affect one another—and what variables don’t matter at all. AI will be able to process these variables almost instantly to find the line of best fit that takes into account all available data. Sam: If we let it. It’s still up to us to decide what our values are and it’s up to us to determine that even if some policy is the most efficient if it doesn’t help us achieve our goals as we decide them to be, then it’s all moot. This is a long road and I’m appropriately skeptical each step of the way. Edem: How can we reduce the implementation costs of Transport AI systems in order to allow their implementation in poorer countries? This is a huge question! We’re still in the “Blue Ocean” stage of development for most of the transportation AI products and services. These technologies have relatively large upfront development costs and require a huge existing infrastructure to help refine and innovate. The tech development will likely continue in established tech markets—the US and East Asia come to mind—and manufacturing will continue globally. As the tech develops, we’ll start to see developing nations dive more deeply into the space to be able to right-size them for their economies. Sam: Right now, however, emerging economies that often have large bus networks, whether formal or informal, are relatively excellent candidates for networking technology that can be added modularly. Personal AVs will remain relatively expensive across the world for a relatively long time, so it’s important that we use all our resources to build the parts that can help developing countries skip levels of development right now. Innovation can come from anywhere so the more pervasive the ideas and technologies are, the better off we’ll be. Edem: How might AI assist in designing more inclusive transportation systems for disabled citizens? This is also an essential question and I think I know where you’re going with this: operability of personal vehicles for people with low/no vision or people with mobility challenges, like limited limb movement or some form of paralysis. There are huge gains in mobility options and accessibility choices for these people with the advent of AI-powered vehicles. Sam: But AI might be integrated into other forms of ability-granting tech—think wayfinding or getting around. With or without a personal vehicle, people need to navigate a space; everyone’s a pedestrian for some part of their trip. So enhancing mapping features with up-to-date, real-time features might help a blind person make a safe choice instantly. Or building signage that can give real-time traffic conditions to know when it’s safe to walk or cross a street. There might be a more tactile way to engage—curb cuts might be built with AI-powered changes to colour or feel depending on road conditions. At this point, if we can think it and keep all users of all ages and all abilities in mind, then we can make sure that we’re building roadways for people. Edem: How do strike a balance between employing the use of AI to design and implement better road networks and preserving the cultural heritage of Cities? I’m going to change the last part of your question. I don’t think we’re out here to preserve the cultural heritage of Cities. Part of what makes cities livable is their mutability—we can change things and we can keep things. Part of what makes cities desirable is their history and their ability to help citizens connect to the past. I think preservation is a relative bunk as a lens to see cities through, but I also think too rapid a change can kill a city. So that’s the balance I want to talk about. Sam: I think we have a choice to make relatively soon if we want to go all in on building out our cities to become the hearts of the Internet of Things (IoT) or the epicentres of Vehicle-to-Everything (V2X) connectivity. Putting a sensor everywhere is what we want. Marking more spaces for driving or parking—that’s what we want? The question is do we want to spend billions or trillions of dollars to remake our cities in the image of “How can this car get around most efficiently?” rather than “How can this person get around safely, reliably, and with dignity.” The answer is to pour our resources into a system that favours mode choice and emphasizes shared, carbon-neutral and shared, carbon-neutral options. Bikes, buses, trains, walking(!). How can AI help us achieve this goal? Edem: What are the key infrastructural and Ethical Challenges that could come about from AI integration and how can they be addressed? This is related to the last question. If we do decide to sensor everything or dive deep into data mining, there’s a lot of personal safety and autonomy we’re giving up. Even with the most stringent data privacy controls in place, we’re exposing ourselves to that risk and we must be clear about whatever we’re willing to accept it individually and as a society. Sam: There’s also the ethics of empowering an AI to make trolley-problem choices: if there’s an imminent incident where a car will crash into Group A should the software be programmed to avoid Group A, given it will then hit Group B? Which is acceptable? Who says? MIT has had a program called the Moral Machine up and running for years. It allows any user to see two choices about which group of people are vulnerable to a car that will hit them. The program describes the physical and personal attributes of a certain group—how many there are, age, perceived “value” to society—then asks the user to make a choice: continue and let the car hit Group A or choose to divert the car to Group B. It says a lot about you as a god player, but here’s the larger application. How do we program an algorithm to make this choice when we can’t even do it? Who is responsible for the outcome? Edem: How can City planners collaborate with AI engineers to ensure that AI seamlessly adapts to different Urban Environments? I don’t think AI-powered urban tools will adapt seamlessly to anything. It’s an unnatural harnessing of information that our ancestors could have dreamed of, but would have called magic—right? Anything sufficiently advanced technologically is practically indecipherable from the arcane. But it’s happening anyway and at a relatively breakneck pace. Sam: I think it is about making sure that we don’t lose our humanity in the process of tech roll-out. We still have choices to make about how we, collectively, want the tech to interact with our lives and we have to make sure that we’re in control to the best of our ability what we want and that the opposite is not true. AI-driven-urban-tech is not inevitable, but if we don’t make sure that it’s not, then we’re going to give up our control to actors that don’t necessarily see cities as a place to live, but as a resource to mine. I think it’s good that it’s hard to dump and run AI into our communities. It should be a thoughtful, challenging decision to make this choice for ourselves, let alone other people. A slow drip is the best course of action, even though the flip side is that there are imminent, deadly problems happening at an increasingly frightening pace—safety, climate, and privacy. What we have to figure out is how to balance our very own trolley problem. Edem: How do we ensure that AI-powered Transport Systems adapt to the different local preferences and customs of communities and cities? I think we have to make sure we understand the words “community” and “city” here. I’ve been relatively flip about the shorthand so far, but what makes “community” or “city” or “public” challenging is that they’re both the sum of their parts and also their individual parts separately; cities are both economic engines and products of them; there are many intersecting publics. They’re all waves and particles and it’s often hard to distinguish between them, especially when we’re talking about innovation that affects more than just the individual. Add in, as you said, culture/heritage differences, and then there’s another variable we have to account for. Sam: This is why it’s essential that we build modular tech that can adapt to local conditions. Context-sensitive solutions are borne from practical design and making sure we’re asking the right questions to the right people, constantly, and we must be willing to drop what we’re doing at great expense if the pathway is one to destruction. I don’t envy the decision-makers here, but I do want to help advise them. Edem: Thank you for your time, Sam. Any closing words? Yes! Please subscribe and share this interview. Sam:

The Impact of AI on Transportation: An Interview with Sam Sklar

Over the past decade, the use of public transport in Moscow has significantly increased, with 64% of all trips made by public transport in 2022. This popularity is largely attributed to the implementation of advanced technological solutions in the city's transport infrastructure. Pavel Krovyakov, who led the development of Moscow's urban public surface transport's information technologies from 2015 to 2021, sheds light on how large digital projects were implemented in front of 20 million residents and tourists. In this interview, he shares his experiences in developing and implementing IT projects, modernizing the ticketing system, developing the popular Mosgorpass social navigator, and how his unique successful experience in implementing such large-scale Moscow IT projects helps customers in various industries. Q: Pavel, it's impressive to hear that you became a director at the age of 24. Could you share with us how you achieved it? Sure. By the time I was offered the position, I had been working at the company for two years, handling key IT projects for the pharmaceutical business.  I managed to successfully lead an IT project that created and implemented an ERP class system for "Rigla," a large Russian pharmacy chain with over 1,000 pharmacies, and this helped my case. I also completed two higher education programs in technical and economic fields and obtained a professional PMP degree in project management. In my new role, I oversaw a separate business unit in Moscow and several other regions, where I was responsible for managing IT projects, as well as the financial and economic activities of the division. Q: Your experience at Mosgortrans is remarkable, and you've led some significant projects. How did you find yourself in that position? I gained my first international experience in 2014 as the CEO of an IT startup that provided services for constructing reliable geographically distributed software and hardware data storage systems. Mosgortrans, the Moscow City Transport, was one of my key clients. I managed the project with a systematic approach to IT project management, leveraging my deep technical expertise in implementation. The CEO of Mosgortrans appreciated my work and personally invited me to join their team at the end of 2015. Until July 2021, I was responsible for all IT aspects of urban ground passenger transport, including introducing new technologies, ensuring 24/7 uninterrupted operations, and optimizing the existing geographically distributed infrastructure. Q: Mosgortrans, with more than 30,000 employees, over 10,000 vehicles, and several thousand distributed urban infrastructure facilities, is Europe's largest passenger transport operator. How did you develop and implement a digital transformation strategy for an organization of this scale? When I joined Mosgortrans, there was no IT strategy, concept, or roadmap for implementation within the organization. I began by conducting a technical audit of the business processes, existing infrastructure, and services, studying the strategic goals of the city's transport complex, and identifying the tasks of Mosgortrans in increasing the popularity of public transport among passengers. Our aim was to provide high-quality and demanded services while also increasing Mosgortrans' efficiency by increasing revenue and reducing costs. To achieve this, we needed to modernize outdated services and introduce modern and flexible technology solutions that could function stably, and optimize and automate the main business processes. We had an annual budget of up to $70 million for the implementation of the IT tasks, involving more than 400 employees of the IT block, as well as several dozen specialized contractors. I updated the roadmap every year for all five years, taking into account new strategic goals and individual instructions from the city's leadership. Typically, we exceeded the annual plan with the team by 120%, which led to the emergence of new, previously unplanned tasks. Q: The passenger traffic in Moscow has grown steadily, with figures exceeding 13 million trips per day at the beginning of 2023, a 12% increase compared to January last year. How have the IT projects you implemented helped increase the demand for public transport? The primary goal of any urban transport system is to increase passenger traffic. We must persuade individuals to switch from their personal cars to public transport. A trip by public transport is a service that involves getting from point A to point B. To provide quality service, two things must be combined. Firstly, using updated transport and wide, dedicated lanes can help increase the speed of movement. Secondly, emotional perception matters. There should be a multimodal online route from anywhere that allows users to view vehicle arrival forecasts on the stop or their phone, purchase tickets and pay for travel using various methods, charge their gadgets, use free wi-fi, watch engaging video content, ask questions or provide feedback online, chat with other passengers, listen to audio tours, and use augmented reality tools. It's worth noting that innovation and infrastructure are intertwined. Installing high-speed Wi-Fi in old buses where passengers are crammed like "herrings in a barrel" or hanging electronic displays on dirty bus stops is unlikely to increase passenger traffic. In general, During my time at Mosgortrans, I used public transport every week, and it was always interesting to build a route in a mobile application and check the accuracy of vehicle arrival forecasts. I also tested the modernized fare system, media panels, and onboard equipment to experience the service first-hand. It seems to me that public transport in Moscow has improved significantly in recent years and is now more convenient, comfortable, and faster than before. Those living in the city have recognized the higher level of service provided by major updates and IT services that have been available since 2016. Q: How did you manage to successfully implement up to a hundred urban transport infrastructure projects annually in a large metropolis? It's crucial to understand that the work we do is visible to over 20 million citizens in the Moscow agglomeration. Therefore, we must not only obtain approval from the city's leadership but also receive positive feedback from passengers, residents, guests of the capital, the media, and other city organizations. As with any managerial work, the application of accumulated knowledge is vital in practice. Unfortunately, 99% of managers possess a lot of knowledge but can't implement it. In addition, taking responsibility, immersing oneself in ongoing projects, and possessing technical expertise is necessary. Moreover, the ability to form a competent team of employees, specialized contractors, vendors, and other expert partners is essential Being a leader when working with this team is equally important. Q: During your work, you completely modernized the ticketing system. Did it allow you to abandon the conductors and increase the speed of traffic? Yes, the system made it possible to eliminate a large number of conductors and all turnstiles. Now, data is sent online to the controllers' personal devices, where the data from passenger traffic analysis sensors and the fare collection system is automatically compared. Controllers selectively check individual routes where the biggest differences in numbers are revealed. Before my arrival at Mosgortrans, the ticketing system didn't develop much, and online transactions was not possible The speed of reading a ticket and opening turnstiles was also slow. For this, under my supervision, we modernized 100% of the fare collection system equipment and made various software improvements, We installed over 200 innovative city ticket vending and replenishment machines to enable contactless payment for travel using bank cards and smartphones with functions such as Apple Pay, Android Pay, and Samsung Pay As a result, passengers can now receive all trip validations online. Further, the modernization of the ticketing system has increased the speed of transport as well. The turnstile-less mode allows passengers to enter the cabin through all doors, making boarding ground transport quicker and more convenient. That way, passengers can save five to 15 minutes on their journey. Q: Did you expect that your completed project would be so successful in Russia and recognized at the world level? I believe the popularity of public transport largely depends on service quality, as measured by passenger feedback and other KPIs. If the service is poor, it's unlikely that the popularity of public transport would grow from year to year, as well as the increase in passenger traffic mentioned earlier. Our modernized ticketing system was not only in demand in Moscow but also in other regions. In 2021, it successfully operated vehicles in the Moscow Region, Tula and Tula Region, Novy Urengoy, Komsomolsk-on-Amur, Ulyanovsk, Perm Territory, Rostov Region, the Republic of Karelia, and the Leningrad Region. In addition, it's important to assess not only "from within" but also from external experts..The city's transport complex was awarded the main prize of the international Transport Ticketing Global award for "Best smart ticketing system - 2020" in London. Q: You developed a popular service among Moscow passengers, the Mosgorpass social navigator. At the moment, it has 4 million downloads in the stores and has received international awards. How did you achieve this indicator? The "Moscow Transport" mobile application, also known as "Mosgorpass," is one of the most advanced MaaS solutions in the world It has been used to build more than 17 million routes and has a 4.5 rating on the AppStore and Google Play. The application has received several international awards, including the Transport Ticketing Award 2021 in London for the Best MaaS Initiative, the Digital Leaders Award 2021 for the Smart Solution of the Year in the Public Transport category, and the TRANStech Awards 2019 in London for the MaaS category. The service allows for the integration of all public and commercial transport services in the city into a single ecosystem that can be accessed through a single mobile application. Users can build routes that take personal preferences and all types of transport into account, such as the metro, buses, trams, railway transport, carsharing, bicycles, and scooters. Additionally, the app allows users to book and pay for trips from their personal account, making it easier, more convenient, and more comfortable to travel around the city and greatly improving the passenger experience. When we started developing the application, we knew that the city needed its own social navigator that was not dependent on commercial organizations like Google and Yandex. The goal was to create a platform with millions of users, but we did not anticipate how quickly it would become popular. It was our first experience implementing such a project. The Moscow transport complex is always eager to pioneer and try out new innovations. The application was initially created as a social navigator for friendly communication between passengers, including people with disabilities. We also wanted to increase the tourist attractiveness of the city by adding multilingual functionality, which is how augmented reality and excursions became part of the program. These features were particularly popular among visitors to the capital, especially during the 2018 FIFA World Cup in Moscow. In addition, the city has the ability to influence people's transport behavior and optimize the route network through big data analysis. This has led to a reduction in traffic congestion, an improvement in the ecological situation, and an increase in the popularity of new types of urban transport such as car sharing, bicycles, and scooters. Q: You are now working in private practice. With Moscow having the largest transport infrastructure in Russia and Europe, how has your successful experience in implementing large-scale IT projects in Moscow helped your clients? Yes, that's correct. However, not only transport organizations but also small and large national and international companies have IT project implementation tasks. Therefore, I assist businesses in implementing IT projects in various areas, especially companies that are entering new countries and have a critical need for IT infrastructure development for their distributed infrastructure, such as offices, warehouses, and production sites. For example, last year, I successfully completed a technical audit and roadmap development for implementing an IT concept for an international architectural bureau with offices in Russia, Germany, and Portugal, and a Russian-Czech FMCG company. In general, the IT market is extensive and diverse, and your reputation is paramount. When you deliver successful projects and maintain positive relationships with your managers, clients, and contractors, your reputation becomes more prominent.

The Role of Advanced Digital Services and Convenient Modern Infrastructure in Transportation Systems

By 2024, the smart transportation sector is expected to be worth $130 billion. There will be a 20 percent annual growth rate between 2018 and 2024. Smart transportation systems are gaining popularity around the world, despite the fact that their development is moving at a slow and steady rate. New modes of transportation are being welcomed in by factors such as rapid urbanization, ubiquitous connectivity, environmental protection, and traffic flow optimization. In order to achieve the smart cities of the future, residents and government officials alike are counting on the development of smart infrastructure to increase road and passenger safety. Infrastructures capable of offering improved services to passengers and drivers for more coordinated and efficient transportation networks are referred to as smart transportation infrastructures (or smart infrastructures). New ways of getting around can be made possible by software-based infrastructures that make it easier to park, improve traffic flow, automate surveillance systems, and use less fuel. Digital technology is changing the way people travel in urban areas, as seen by the following examples of smart transportation systems. Perks of Smart Cities and Their Transportation Solutions Enhanced security is one of the expected benefits of smart transportation solutions in the future smart cities’ infrastructures. Passengers benefit from real-time ticket management, smart parking, and traffic jam reduction when digital communication systems are integrated into city transportation infrastructure. Smart traffic monitoring is made possible by technology such as GPS and Internet of Things sensors, which lower the likelihood of accidents and, as a result, make it easier and safer to get to your destination. Some of the advantages of smart cities and their transportation technology are as follows: Effective Traffic Management Systems in Smart Cities Through push alerts, smart traffic management systems can shift traffic flows away from congested locations, giving motorists an accurate view of the current state of the city’s traffic in real-time. Automated ticket management is possible with chatbots. High-Quality Results Because of fuel-saving solutions that dispatch vehicles more rationally when the shortest possible path can be discovered with machine learning algorithms enabled by city traffic data acquired via GPS and street sensors, smart transportation can help to reduce carbon emissions. Smart Cities Solutions Reduced Unnecessary Costs Companies that deal with transportation, shipping, and passengers alike can save a lot of money by implementing traffic management systems that are capable of reducing unnecessary costs such as traffic congestion, fuel consumption, and empty miles. When telematics and communication technologies are widely adopted, smart city transportation has access to a wealth of data from a variety of sources, allowing it to operate more efficiently. Moving through smart cities is less expensive the more data road users can collect and evaluate on their journey. Working Of Smart Traffic Control Systems in Smart Cities Probably the most well-known issue in city transportation is traffic congestion caused by the poor operation of traffic light signals. It is impossible to classify traffic signals as “smart” if they operate using either timers or pedestrian buttons. It’s impossible for these low-tech gadgets to detect, monitor, and respond to the actual traffic situation on the road. Using digital technologies like Bluetooth, LIDAR, and 5G mobile internet, smart traffic monitoring systems can, on the other hand, enable traffic lights to interact with vehicles and pedestrians. Vehicle electronics and pedestrian smartphones can be used to gather information about the traffic condition at any given crossroad, and this information can then be used to predict traffic patterns. A smart traffic light can help pedestrians and drivers react more quickly and be more aware of their surroundings by delivering appropriate signals to each other’s mobile devices. Like autopilots in driverless cars, AI-based visual recognition systems can use city street cameras to predict traffic. A system like this can also assist in the prevention of jams and collisions that occur regularly at crossroads as a result of mistakes made by people on the road. These futuristic smart roadways can also measure traffic indications like exhaust gas concentrations, noise levels, pedestrian clusters, and collisions using sensors and network access points. There is a lot of useful information in this kind of data that can help people think about smart cities in terms of new ways of getting around. Some of the Smart Cities’ Transportation Solutions Examples of revolutionary digitized infrastructures that smart cities are using: Smart Cities Solution of Dublin Since 2015, Dublin City Council implemented the Mayflower CMS (central management system) that linked numerous smart city sensors and applications into the city’s transportation and lighting systems. When connected to the Smart City Platform, the range of IoT sensors and detectors produces different data streams that keep city administration informed about anything from traffic noise to CO2 emissions to weather conditions to the energy consumption of street lights and even water level during floods. When multiple applications are running on the Platform, the Mayflower network’s sensors can be monitored through a single interface. People may walk home safely at night, automobiles use less gasoline to reduce polluters, and urban real-estate developers can choose the best locations for new schools and hospitals, etc., because of the system’s focus on smart city security. Smart Transportation in Barcelona As one of Europe’s most technologically advanced smart cities, Barcelona boasts a supercomputing facility that integrates large data received from smart traffic sensors, autonomous vehicles, and linked autos, among other sources. With the help of Catalonia Living Lab and 5G technology, the city has implemented an intelligent traffic control system. Data from numerous IoT devices (such as traffic light cameras and asphalt sensors) may now be analyzed in real-time using cutting-edge data analytics combined with the most recent 5G infrastructure. Barcelona is achieving remarkable accomplishments in the development of efficient urban mobility in the future when it comes to the evolving smart city infrastructure, which is geared for the widespread adoption of autonomous vehicles. the Future Has Arrived Conclusion: Digital technology in the construction of intelligent transportation systems can result in safer urban settings free of time-consuming traffic congestion and harmful concentrations of exhaust fumes. There will be a new generation of smart roads when IoT devices and data-processing software are used to turn sensor signals into useful information about improving urban mobility. The installation of intelligent traffic lights on city streets is a simple but effective way for local governments to make their communities a safer place to live. To name only a few already-available tools for the development of smart transportation systems: IoT sensors, 5G, Lidar, Bluetooth, and cloud computing. In fact, the future has arrived. 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