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.

fixed and adaptive vehicle routing

traffic control

queueing analysis

traffic signaling

Back pressure control

communication system traffic control


Ali Abbas Syed Zaidi

Chalmers, Signals and Systems, Systems and control

Balázs Adam Kulcsár

Chalmers, Signals and Systems, Systems and control

Henk Wymeersch

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

IEEE Transactions on Intelligent Transportation Systems

1524-9050 (ISSN) 1558-0016 (eISSN)

Vol. 17 8 2134-2143 7444157

Cooperative Situational Awareness for Wireless Networks (COOPNET)

European Commission (EC) (EC/FP7/258418), 2011-05-01 -- 2016-04-30.

Areas of Advance


Subject Categories

Transport Systems and Logistics

Communication Systems

Control Engineering



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