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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Veröffentlicht in:IEEE transactions on intelligent transportation systems 2016-08, Vol.17 (8), p.2134-2143
Hauptverfasser: Zaidi, Ali A., Kulcsar, Balazs, Wymeersch, Henk
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container_title IEEE transactions on intelligent transportation systems
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creator Zaidi, Ali A.
Kulcsar, Balazs
Wymeersch, Henk
description 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.
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subjects Adaptive systems
Algorithms
Back pressure control
communication system traffic control
Communication Systems
Control Engineering
Controllers
fixed and adaptive vehicle routing
Junctions
Kommunikationssystem
queueing analysis
Real-time systems
Reglerteknik
Roads
Route planning
Routing
Scheduling
traffic control
Traffic engineering
Traffic flow
traffic signaling
Traffic signals
Transport Systems and Logistics
Transportteknik och logistik
Vehicles
title Back-Pressure Traffic Signal Control With Fixed and Adaptive Routing for Urban Vehicular Networks
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