Incorporating human-factors in car-following models : a review of recent developments and research needs

Saifuzzaman, Mohammad & Zheng, Zuduo (2014) Incorporating human-factors in car-following models : a review of recent developments and research needs. Transportation Research Part C : Emerging Technologies, 48, 379 - 403.

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Over the past decades there has been a considerable development in the modeling of car-following (CF) behavior as a result of research undertaken by both traffic engineers and traffic psychologists. While traffic engineers seek to understand the behavior of a traffic stream, traffic psychologists seek to describe the human abilities and errors involved in the driving process. This paper provides a comprehensive review of these two research streams. It is necessary to consider human-factors in {CF} modeling for a more realistic representation of {CF} behavior in complex driving situations (for example, in traffic breakdowns, crash-prone situations, and adverse weather conditions) to improve traffic safety and to better understand widely-reported puzzling traffic flow phenomena, such as capacity drop, stop-and-go oscillations, and traffic hysteresis. While there are some excellent reviews of {CF} models available in the literature, none of these specifically focuses on the human factors in these models. This paper addresses this gap by reviewing the available literature with a specific focus on the latest advances in car-following models from both the engineering and human behavior points of view. In so doing, it analyses the benefits and limitations of various models and highlights future research needs in the area.

Impact and interest:

18 citations in Scopus
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15 citations in Web of Science®

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ID Code: 77857
Item Type: Journal Article
Refereed: Yes
Keywords: Car-following, Driver behavior, Human factors, Risk taking, Driver error
DOI: 10.1016/j.trc.2014.09.008
ISSN: 0968-090X
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
Copyright Owner: Copyright 2014 Elsevier
Copyright Statement: This is the author’s version of a work that was accepted for publication in Transportation Research Part C : Emerging Technologies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part C : Emerging Technologies, [VOL 48, (2014)] DOI: 10.1016/j.trc.2014.09.008
Deposited On: 23 Oct 2014 22:10
Last Modified: 25 Oct 2015 08:47

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