RoadRunner: Infrastructure-less vehicular congestion control
Author(s)Gao, Jason Hao; Peh, Li-Shiuan
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RoadRunner is an in-vehicle app for traffic congestion control without costly roadside infrastructure, instead judiciously harnessing vehicle-to-vehicle communications, cellular connectivity, and onboard computation and sensing to enable large-scale traffic congestion control at higher penetration and finer granularity than previously possible. RoadRunner limits the number of vehicles in a congested region or road by requiring each to possess a token for entry. Tokens can circulate and be reused among multiple vehicles as vehicles move between regions. We built RoadRunner as an Android app utilizing LTE, 802.11p, and 802.11n radios, deployed it on 10 vehicles, and measured cellular access reductions of up to 84% and response time improvements of up to 80%. In a microscopic agent-based traffic simulator, RoadRunner achieved travel speed improvements of up to 7.7% over an industry-strength electronic road pricing system.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Proceedings of the 21st Intelligent Transport Systems World Congress
Intelligent Transport Systems
Gao, Jason H., and Li-Shiuan Peh. "RoadRunner: Infrastructure-less Vehicular Congestion Control." The 21st Intelligent Transport Systems World Congress, Detroit, Michigan, September 7-11, 2014.
Author's final manuscript