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Journal Article

Citation

Li R. Road Transp. Res. 2004; 13(3): 45-53.

Affiliation

Institute of Transport Studies, Department of Civil Engineering, Monash University, Clayton, Vic., Australia

Copyright

(Copyright © 2004, Australian Road Research Board)

DOI

unavailable

PMID

unavailable

Abstract

Speed-based travel time estimation models have been widely used in transportation applications involving traffic information dissemination and traffic prediction. There are few comprehensive explorations of their performance under actual field conditions. This study examines the accuracy of some basic travel time estimation models that employ simple speed-time relationships: instantaneous model, time slice model, and dynamic time slice model. Speed data are generated from extensively deployed dual loop detectors on freeways. A case study is reported for Melbourne's South Eastern freeway, which relies on real traffic data rather than simulation. Modelled travel times are compared to values measured in a timed number plate survey. The effect of smoothing loop data on the performance of speed-based models is investigated by comparing estimations from wavelets screened data with that from raw data. Other effects on the performance of this type of model, such as network length, speed aggregated time interval, and severity of congestion are also considered. Surprisingly, none of the threebasic models accurately estimates travel time under the scenarios investigated. This contradicts the theoretical superiority of the time slice model and the dynamic time slice model. Model refinements are examined to improve their performance.

Language: en

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