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Proceedings Paper

Dynamic traffic origin-destination estimation using Kalman filter: an application to beltway network with VMS control
Author(s): Wei Wu; Pushkin Kachroo
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Paper Abstract

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.

Paper Details

Date Published: 27 January 1998
PDF: 8 pages
Proc. SPIE 3207, Intelligent Transportation Systems, (27 January 1998); doi: 10.1117/12.300861
Show Author Affiliations
Wei Wu, Virginia Polytechnic Institute and State Univ. (United States)
Pushkin Kachroo, Virginia Polytechnic Institute and State Univ. (United States)

Published in SPIE Proceedings Vol. 3207:
Intelligent Transportation Systems
Marten J. de Vries; Pushkin Kachroo; Kaan Ozbay; Alan C. Chachich, Editor(s)

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