City-wide control and coordination of traffic flow can improve efficiency, fuel consumption, and safety. We consider the problem of controlling traffic lights under fixed and adaptive routing of vehicles in urban road networks. Multicommodity 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 multicommodity and adaptive routing algorithms provide 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.
Back-Pressure Traffic Signal Control With Fixed and Adaptive Routing for Urban Vehicular Networks
IEEE Transactions on Intelligent Transportation Systems ; 17 , 8 ; 2134-2143
01.08.2016
6206694 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Back-Pressure Traffic Signal Control With Fixed and Adaptive Routing for Urban Vehicular Networks
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