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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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems Vol. 17; no. 8; pp. 2134 - 2143
Main Authors: Zaidi, Ali A., Kulcsar, Balazs, Wymeersch, Henk
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
Online Access:Get full text
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Summary: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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ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2016.2521424