Arterial Street Incident Detection Using Multiple Data Sources: Plans for ADVANCE

by John N. Ivan, Northwestern, Univ, Evanston, United States,
Joseph L. Schofer, Northwestern, Univ, Evanston, United States,
Chandra R. Bhat, Northwestern, Univ, Evanston, United States,
Pen-Chi Liu, Northwestern, Univ, Evanston, United States,
Frank S. Koppelman, Northwestern, Univ, Evanston, United States,
Alvin Rodriguez, Northwestern, Univ, Evanston, United States,



Document Type: Proceeding Paper

Part of: Pacific Rim TransTech Conference: Volume I: Advanced Technologies

Abstract: An Advanced Traveler Information System demonstration called ADVANCE is being prepared for implementation on an arterial street network in the suburbs of Chicago. This paper will describe a data fusion process that combines the output from the algorithms of the program to make an overall assesstment of traffic conditions on the network. Initial plans for implementing the incident detection algorithms and the fusion process using rule based systems and a neutral network are presented.

Subject Headings: Streets | Intelligent transportation systems | Information systems | Data processing | Algorithms | Traffic accidents | Traffic surveillance | Transportation networks | North America | Illinois | United States | Chicago

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