TY - GEN
T1 - Dissipation of Emergent Traffic Waves in Stop-and-Go Traffic Using a Supervisory Controller
AU - Bhadani, Rahul Kumar
AU - Piccoli, Benedetto
AU - Seibold, Benjamin
AU - Sprinkle, Jonathan
AU - Work, Daniel
N1 - Funding Information:
This work was supported by the National Science Foundation under awards 1446715, 1446690, 1446435, and 1446702. The authors thank the University of Arizona Motor Pool for providing the vehicle fleet, Ms. Nancy Emptage for her services in carrying out the experiment logistics, and participants who made the experiment possible.
Funding Information:
VIII. ACKNOWLEDGEMENTS This work was supported by the National Science Foundation under awards 1446715, 1446690, 1446435, and 1446702. The authors thank the University of Arizona Motor Pool for providing the vehicle fleet, Ms. Nancy Emptage for her services in carrying out the experiment logistics, and participants who made the experiment possible.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - This paper presents the use of a quadratic band controller in an autonomous vehicle (AV) to regulate emergent traffic waves resulting from traffic congestion. The controller dampens the emergent traffic waves through modulating its velocity according to the relative distance and velocity of the immediately preceding vehicle in the flow. At the same time, it prevents any collision within the range specified by the design parameters. The approach is based on a configurable quadratic band that allows smooth transitions between (i) no modification to the desired velocity; (ii) braking to match the speed of the preceding vehicle; and (iii) braking to avoid collision with the lead vehicle. By assuming that the lead vehicle's velocity will be oscillatory, the controller's smooth transition between modes permits any vehicle following the AV to have a smoother reference velocity. The configurable quadratic band allows design parameters, such as actuator and computation delays as well as the dynamics of vehicle deceleration, to be taken into account when constructing the controller. Experimental data, software-in-the-loop distributed simulation, and results from physical platform performance in an experiment with 21 human-driven vehicles are presented. Analysis shows that the design parameters used in constructing the quadratic band controller are met, and assumptions regarding the oscillatory nature of emergent traffic waves are valid.
AB - This paper presents the use of a quadratic band controller in an autonomous vehicle (AV) to regulate emergent traffic waves resulting from traffic congestion. The controller dampens the emergent traffic waves through modulating its velocity according to the relative distance and velocity of the immediately preceding vehicle in the flow. At the same time, it prevents any collision within the range specified by the design parameters. The approach is based on a configurable quadratic band that allows smooth transitions between (i) no modification to the desired velocity; (ii) braking to match the speed of the preceding vehicle; and (iii) braking to avoid collision with the lead vehicle. By assuming that the lead vehicle's velocity will be oscillatory, the controller's smooth transition between modes permits any vehicle following the AV to have a smoother reference velocity. The configurable quadratic band allows design parameters, such as actuator and computation delays as well as the dynamics of vehicle deceleration, to be taken into account when constructing the controller. Experimental data, software-in-the-loop distributed simulation, and results from physical platform performance in an experiment with 21 human-driven vehicles are presented. Analysis shows that the design parameters used in constructing the quadratic band controller are met, and assumptions regarding the oscillatory nature of emergent traffic waves are valid.
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U2 - 10.1109/CDC.2018.8619700
DO - 10.1109/CDC.2018.8619700
M3 - Conference contribution
AN - SCOPUS:85062178474
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 3628
EP - 3633
BT - 2018 IEEE Conference on Decision and Control, CDC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 57th IEEE Conference on Decision and Control, CDC 2018
Y2 - 17 December 2018 through 19 December 2018
ER -