01801nas a2200229 4500008004100000245006000041210005800101260009100159520099000250653002301240653001901263100001901282700002401301700001901325700002301344700002101367700002001388700002301408700003101431700002201462856008701484 2017 eng d00aA Fuzzy based approach to Dampen Emergent Traffic Waves0 aFuzzy based approach to Dampen Emergent Traffic Waves aThe University of ArizonabCAT Vehicle Research Experience for Undergraduatesc01/20173 a
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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