Dynamic traffic origin-destination estimation using Kalman filter: An application to beltway network with VMS control
Dynamic traffic origin-destination estimation has received increasing attention in recent years due to its grate technological and economic advantages. In this paper, a Kalman filter model for estimating and updating dynamic OD flows for beltway network is presented. The uniqueness of the model is the use of path flows as state variables instead of OD flows, this treatment avoids the likely biases inherent in various traffic assignment procedures. Preliminary testing of the model shows encouraging results, however, more extensive testing is still necessary. Simulation output is used in generating time dependent traffic mapping matrix, additional studies need to be conducted to find out if this would be applicable to the scenario of real-world of considerable size.
Controls and Control Theory | OS and Networks | Systems and Communications | Theory and Algorithms | Transportation | Urban Studies and Planning
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Wei Wu and Pushkin Kachroo "Dynamic traffic origin-destination estimation using Kalman filter: an application to beltway network with VMS control", Proc. SPIE 3207, Intelligent Transportation Systems, 242 (January 27, 1998); doi:10.1117/12.300861; http://dx.doi.org/10.1117/12.300861
Dynamic traffic origin-destination estimation using Kalman filter: An application to beltway network with VMS control.
Proceedings of SPIE - Intelligent Transportation Systems, 3207
Society of Photo-optical Instrumentation Engineers.