Modelling, calibrating, and validating car following and lane changing behaviour

Zheng, Zuduo & Sarvi, Majid (Eds.) (2016) Modelling, calibrating, and validating car following and lane changing behaviour. Transportation Research Part C: Emerging Technologies. Elsevier.

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Car following (CF) and lane changing (LC) are two primary driving tasks observed in traffic flow, and are thus vital components of traffic flow theories, traffic operation and control. Over the past decades a large number of CF models have been developed in an attempt to describe CF behaviour under a wide range of traffic conditions. Although CF has been widely studied for many years, LC did not receive much attention until recently. Over the last decade, researchers have slowly but surely realized the critical role that LC plays in traffic operations and traffic safety; this realization has motivated significant attempts to model LC decision-making and its impact on traffic.

Despite notable progresses in modelling CF and LC, our knowledge on these two important issues remains incomplete because of issues related to data, model calibration and validation, human factors, just to name a few.

Thus, this special issue will focus on latest developments in modelling, calibrating, and validating two primary vehicular interactions observed in traffic flow: CF and LC.

Impact and interest:

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ID Code: 94709
Item Type: Book
Additional Information: Special issue of Transportation Research Part C: Emerging Technologies. Contains articles from 21 October 2015 to 01 June 2016.
Keywords: Car following, Lane changing, Model calibration, Model validation
ISSN: 0968-090X
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2016 Elsevier Ltd.
Deposited On: 10 Apr 2016 22:24
Last Modified: 11 May 2016 01:37

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