Travel Time Data Fusion in Advanceby Andrzej Trako, UIC, Chicago, United States,
Nagui M. Rouphail, UIC, Chicago, United States,
Abstract: 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: Travel time | Algorithms | Data processing | Probe instruments | Highway and road design | Bayesian analysis | Traffic signals | Urban areas | North America | United States | Illinois | Chicago
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