Journal
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Volume 17, Issue 8, Pages 2134-2143Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2016.2521424
Keywords
Back pressure control; communication system traffic control; fixed and adaptive vehicle routing; queueing analysis; traffic control; traffic signaling
Categories
Funding
- SAFER grant on enhanced traffic flow optimisation
- Transport Area of Advance at Chalmers University of Technology, Gothenburg, Sweden
- European Research Council [258418]
- European Research Council (ERC) [258418] Funding Source: European Research Council (ERC)
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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 multi-commodity 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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