HighlightsA joint dynamic traffic routing and adaptive signal control model is proposed.The proposed methods are tested and analyzed under various levels of traffic demand.Different combinations of routing algorithms and signal control methods are studied.The impact of re-routing vehicles to the network performance is studied.The proposed model is tested to perform well under accident scenarios.
AbstractIn real traffic networks, travellers’ route choice is affected by traffic control strategies. In this research, we capture the interaction between travellers’ route choice and traffic signal control in a coherent framework. For travellers’ route choice, a VANET (Vehicular Ad hoc NETwork) is considered, where travellers have access to the real-time traffic information through V2V/V2I (Vehicle to Vehicle/Vehicle to Infrastructure) infrastructures and make route choice decisions at each intersection using hyper-path trees. We test our algorithm and control strategy by simulation in OmNet++ (A network communication simulator) and SUMO (Simulation of Urban MObility) under several scenarios. The simulation results show that with the proposed dynamic routing, the overall travel cost significantly decreases. It is also shown that the proposed adaptive signal control reduces the average delay effectively, as well as reduces the fluctuation of the average speed within the whole network.
Dynamic traffic routing in a network with adaptive signal control
2017-08-21
22 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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