Back-Pressure Traffic Signal Control With Fixed and Adaptive Routing for Urban Vehicular Networks

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 routin...

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Vydáno v:	IEEE transactions on intelligent transportation systems Ročník 17; číslo 8; s. 2134 - 2143
Hlavní autoři:	Zaidi, Ali A., Kulcsar, Balazs, Wymeersch, Henk
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.08.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive systems Algorithms Back pressure control communication system traffic control Controllers fixed and adaptive vehicle routing Junctions queueing analysis Real-time systems Roads Route planning Routing Scheduling traffic control Traffic engineering Traffic flow traffic signaling Traffic signals Vehicles
ISSN:	1524-9050, 1558-0016
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Abstract	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.
AbstractList	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.
Author	Kulcsar, Balazs Zaidi, Ali A. Wymeersch, Henk
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SubjectTerms	Adaptive systems Algorithms Back pressure control communication system traffic control Controllers fixed and adaptive vehicle routing Junctions queueing analysis Real-time systems Roads Route planning Routing Scheduling traffic control Traffic engineering Traffic flow traffic signaling Traffic signals Vehicles
Title	Back-Pressure Traffic Signal Control With Fixed and Adaptive Routing for Urban Vehicular Networks
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