Travel Time Data Fusion in Advance

by Andrzej Trako, UIC, Chicago, United States,
Nagui M. Rouphail, UIC, Chicago, United States,

Document Type: Proceeding Paper

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


The ADVANCE project in the Chicago metropolitan area is one of several ATIS operational tests currently underway in the USA and abroad. Fusion of equipped vehicle (probes) travel time reports, detector outputs, historical and other data is a crucial task in ADVANCE data processing. The ADVANCE implementation schedule dictates a three-stage development of the on-line data fusion algorithm: first, a basic algorithm which would be able to deal with space probe reports; second, a simple but efficient algorithm able to utilize on-line probe travel time reporting and finally, an advanced method for dealing with oversaturated conditions. The purpose of this paper is to discuss methodological aspects of data fusion design for signalized arterials, present the concept of the basic data fusion algorithm based on regression and Bayesian methods, and consider some issues in developing the advanced algorithm.

Subject Headings: Algorithms | Travel time | Intelligent transportation systems | Probe instruments | Highway and road design | Traffic signals | Bayesian analysis | Project management | United States | Chicago | Illinois

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