United States Department of Transportation
i
Development and Testing of Optimized Autonomous and Connected Vehicle Trajectories at Signalized Intersections [summary]
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2017-12-01
[PDF-85.75 KB]
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Abstract:Visions of self-driving vehicles abound in popular science and entertainment. Many programs are at work to make a reality catch of this imagination. Vehicle automation has progressed rapidly in recent years, from simple driver assistance technologies like cruise control and in-vehicle wireless, to production-line vehicles that park themselves or stop if they detect an obstacle. These capabilities are being extended by technologies that allow vehicles to navigate the roads without a driver by communicating with traffic control devices and using onboard sensors and GPS. Each step in this development requires the efforts of many specialists - engineers, programmers, mathematicians, scientists, and planners. Even as self-driving vehicles become more common, they will have to share the road with conventional, human-driven vehicles. Therefore, the infrastructure that helps to guide driverless vehicles will have to understand the behavior of automated and conventional vehicles. University of Florida researchers developed, tested, and deployed an intelligent real-time intersection traffic control system that was able to simultaneously optimize signal control and automated vehicle trajectories, considering the presence of autonomous, connected, and conventional vehicles in the traffic stream.
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