A Fuzzy based approach to Dampen Emergent Traffic Waves

TitleA Fuzzy based approach to Dampen Emergent Traffic Waves
Publication TypeConference Paper
Year of Publication2017
AuthorsHaulcy, R'mani, Hamilton, N, Bhadani, R, Sprinkle, J, Work, DB, Risso, N, Piccoli, B, Monache, MLaura Dell, Seibold, B
Conference NameCAT Vehicle Research Experience for Undergraduates
Date Published01/2017
PublisherCAT Vehicle Research Experience for Undergraduates
Conference LocationThe University of Arizona
KeywordsAutonomous Systems, Control System
Abstract

Adaptive Cruise Control (ACC) and Traffic Aware Cruise Control (TACC) are recent advancements in cruise control design that allow a semi-autonomous vehicle to slow itself when approaching vehicles. The issue with these technologies is that they focus on keeping the distance from a leading vehicle constant. This may lead to unwanted dynamics in the following traffic flow, could result in the creation of traveling waves.  This paper focuses on maintaining a reference velocity based on the relative position of the preceding vehicle instead of slowing down to maintain a certain following distance. Doing so could reduce the amount of braking the vehicles behind the autonomous vehicle will do. With this kind of technology implemented, the number and duration of traffic jams could be greatly reduced. Simulation results and tests run on the University of Arizona's Cognitive Autonomous Test (CAT) Vehicle illustrate the feasibility and success of this new controller.

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