Hybrid model for motorway travel time estimation considering increased detector spacing

Bhaskar, Ashish, Qu, Ming, & Chung, Edward (2014) Hybrid model for motorway travel time estimation considering increased detector spacing. Transportation Research Record : Journal of the Transportation Research Board, 2442, pp. 71-84.

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Travel time estimation and prediction on motorways has long been a topic of research. Prediction modeling generally assumes that the estimation is perfect. No matter how good is the prediction modeling- the errors in estimation can significantly deteriorate the accuracy and reliability of the prediction. Models have been proposed to estimate travel time from loop detector data. Generally, detectors are closely spaced (say 500m) and travel time can be estimated accurately. However, detectors are not always perfect, and even during normal running conditions few detectors malfunction, resulting in increase in the spacing between the functional detectors. Under such conditions, error in the travel time estimation is significantly large and generally unacceptable.

This research evaluates the in-practice travel time estimation model during different traffic conditions. It is observed that the existing models fail to accurately estimate travel time during large detector spacing and congestion shoulder periods. Addressing this issue, an innovative Hybrid model that only considers loop data for travel time estimation is proposed. The model is tested using simulation and is validated with real Bluetooth data from Pacific Motorway Brisbane. Results indicate that during non free flow conditions and larger detector spacing Hybrid model provides significant improvement in the accuracy of travel time estimation.

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2 citations in Scopus
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1 citations in Web of Science®

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ID Code: 67476
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Travel time, faulty detectors, motorways, cumulative plots, Bluetooth
DOI: 10.3141/2442-09
ISSN: 0361-1981
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Research Centres > Smart Transport Research Centre
Copyright Owner: Copyright 2014 Please consult the authors
Deposited On: 17 Feb 2014 23:34
Last Modified: 17 Feb 2015 09:15

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