Back Pressure Traffic Signal Control with Fixed and Adaptive Routing for Urban Vehicular Network
Journal article, 2016

City-wide control and coordination of traffic flow can improve efficiency, fuel consumption, and safety. We con- sider the problem of controlling traffic lights under fixed and adaptive routing of vehicles in urban road networks. Multi- commodity back-pressure algorithms, originally developed for routing and scheduling in communication networks, are applied to road networks to control traffic lights and adaptively reroute vehicles. The performance of the algorithms is analyzed using a microscopic traffic simulator. The results demonstrate that the proposed multi-commodity and adaptive routing algorithms pro- vide significant improvement over a fixed schedule controller and a single-commodity back-pressure controller, in terms of various performance metrics, including queue-length, trips completed, travel times, and fair traffic distribution.

communication system traffic control

traffic signaling

Back pressure control

traffic control

fixed and adaptive vehicle routing

queueing analysis

Author

Ali Abbas Syed Zaidi

Chalmers, Signals and Systems, Systems and control, Automatic Control

Balázs Adam Kulcsár

Chalmers, Signals and Systems, Systems and control, Automatic Control

Henk Wymeersch

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

IEEE Transactions on Intelligent Transportation Systems

1524-9050 (ISSN)

Vol. 17 8 2134-2143 7444157

Cooperative Situational Awareness for Wireless Networks (COOPNET)

European Commission (FP7), 2011-05-01 -- 2016-04-30.

Areas of Advance

Transport

Subject Categories

Transport Systems and Logistics

Communication Systems

Control Engineering

DOI

10.1109/TITS.2016.2521424

More information

Created

10/8/2017