Dynamic traffic routing in a network with adaptive signal control |
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| Institution: | 1. Intelligent Transport Systems Lab, Melbourne, Australia;2. Institute of Transport Studies, Monash University, Australia;3. School of Mathematics, The University of Manchester, UK;4. Delft University of Technology, The Netherlands;5. Korteweg-de Vries Institute for Mathematics, University van Amsterdam, The Netherlands;1. School of Civil Engineering, The University of Queensland, Australia;2. Urban Transport Systems Laboratory, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Switzerland |
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| Abstract: | In 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. |
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| Keywords: | Dynamic traffic routing Adaptive signal control Connected vehicle SUMO OmNet++ |
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