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Urban dynamic origin-destination matrices estimation

By Emmanuel Bert, Edward Chung and Andre-Gilles Dumont

Abstract

The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) for dense urban networks. From reviewing existing methods, from static to dynamic OD matrix evaluation, possible deficiencies in the approach could be identified: traffic assignment details for complex urban network and lacks in dynamic approach. To improve the global process of traffic demand estimation, this paper is focussing on a new methodology to determine dynamic OD matrices for urban areas characterized by complex route choice situation and high level of traffic controls. An iterative bi-level approach will be used, the Lower level (traffic assignment) problem will determine, dynamically, the utilisation of the network by vehicles using heuristic data from mesoscopic traffic simulator and the Upper level (matrix adjustment) problem will proceed to an OD estimation using optimization Kalman filtering technique. In this way, a full dynamic and continuous estimation of the final OD matrix could be obtained. First results of the proposed approach and remarks are presented

Topics: 080110 Simulation and Modelling, 090507 Transport Engineering, Traffic simulation, Traffic demand, Origin-destination matrices estimation, Dynamic traffic assignment, Urban network, ITS
Publisher: ITS Congress Association
Year: 2008
OAI identifier: oai:eprints.qut.edu.au:37367
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