TY - CONF T1 - A Fuzzy based approach to Dampen Emergent Traffic Waves T2 - CAT Vehicle Research Experience for Undergraduates Y1 - 2017 A1 - R'mani Haulcy A1 - Nathaniel Hamilton A1 - Rahul Bhadani A1 - Jonathan Sprinkle A1 - Daniel B. Work A1 - Nathalie Risso A1 - Benedetto Piccoli A1 - Maria Laura Dell Monache A1 - Benjamin Seibold KW - Autonomous Systems KW - Control System AB -

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.

JF - CAT Vehicle Research Experience for Undergraduates PB - CAT Vehicle Research Experience for Undergraduates CY - The University of Arizona ER -