Title

Dynamic traffic origin-destination estimation using Kalman filter: An application to beltway network with VMS control

Document Type

Conference Proceeding

Publication Date

10-1997

Publication Title

Proceedings of SPIE - Intelligent Transportation Systems

Publisher

Society of Photo-optical Instrumentation Engineers

Volume

3207

First page number:

242

Last page number:

249

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.

Keywords

Origin and destination traffic surveys; Traffic assignment; Traffic flow

Disciplines

Controls and Control Theory | OS and Networks | Systems and Communications | Theory and Algorithms | Transportation | Urban Studies and Planning

Language

English

Permissions

Use Find in Your Library, contact the author, or use interlibrary loan to garner a copy of the article. Publisher copyright policy allows author to archive post-print (author’s final manuscript). When post-print is available or publisher policy changes, the article will be deposited

Identifier

DOI: http://dx.doi.org/10.1117/12.300861

Publisher Citation

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

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