As an advanced autonomous vehicle (AV) technology, platooning offers the potential for an additional 10% or more in fuel efficiency gains for long-haul trucks. It also promises to reduce driver fatigue and increase safety. Platooning trucks are connected virtually to each other and to the highway infrastructure. Yet progress is needed before the technology can be fully commercialized. Policymakers must still confront issues about impacts on, and access to, the overall highway system and how to ensure safety for all highway users. This session will provide a status of where we are, details on platooning trials, and dig into policy issues at state and federal levels.
Autonomous Vehicle Technology and Trials
A future with driverless, fully autonomous vehicles (AV) still seems inevitable, though still at least a decade or two away. Some AV trials have been successful while others have resulted in setbacks. For some, AVs represent a bright future of lower transportation costs, greater safety, and expanded access to mobility. Others see a system overwhelmed with congestion, energy waste, and climate impacts as AVs constantly circulate waiting for riders. Some question whether benefits will be available equitably. As we progress through levels of autonomy, fleet leaders need to understand how AV technologies can provide benefits today and soon. Finally, observers wonder whether the pandemic crisis both changes the trajectory and impacts how society views and ultimately accepts AVs. Through this session we will explore these issues with technology, transportation system, policy and fleet leaders. Learn where we are today and have a chance to ask the questions on your mind.
Transportation System Safety and Efficiency Tools and Strategies
As with nearly every aspect of our world, AI will change our transportation system. As virtual connectivity extends to more platforms – vehicles and components on them, system infrastructure, and all of us - an enormous volume of data is generated. AI provides the power to learn, adapt, and improve utilization of resources. Today transportation agencies are beginning to harness this power to make the system safer, more responsive, and potentially more energy efficient. For example, when congestion is detected, traffic signals automatically adapt. Prices for parking can change in real time based on system learning. However, does the generation of data and the use of AI raise any concerns about privacy and potential for abuse? Learn about some of these systems, how they are being tested, and both the promises and concerns they hold.