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Transportation Letters
The International Journal of Transportation Research
Volume 14, 2022 - Issue 1
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Article

A multistage analytic model of the longitudinal and lateral acceleration during lane changing in work zone areas with the aid of a driving simulator experiment

Ke Duana MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, P. R. ChinaView further author information
,
Xuedong Yana MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, P. R. ChinaCorrespondence[email protected]
View further author information
,
Lu Maa MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, P. R. ChinaView further author information
,
Junyu Hanga MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, P. R. ChinaView further author information
&
Xiaomeng Lib Queensland University of Technology (QUT), Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Institute of Health and Biomedical Innovation (IHBI), Kelvin Grove, AustraliaView further author information
Pages 28-38 | Published online: 18 Aug 2020

Citations (3)

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Read on this site (1)

Ishtiak Ahmed, Alan F. Karr, Nagui M. Rouphail, R. Thomas Chase & Shams Tanvir. (2023) Characterizing lane changing behavior and identifying extreme lane changing traits. Transportation Letters 15:5, pages 450-464.
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Articles from other publishers (2)

D Kurczyński, P Łagowski, T Stańczyk, E Szumska, A Zuska, P Grabski, M Jaśkiewicz & R Jurecki. (2022) Study of lateral acceleration of a Ford Transit car on various road surfaces. IOP Conference Series: Materials Science and Engineering 1247:1, pages 012010.
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Ke Duan, Xuedong Yan, Junyu Hang & Xiaomeng Li. (2021) Study of improved signal‐based merge strategy in work zone areas based on Cellular Automata simulation. IET Intelligent Transport Systems 16:4, pages 504-530.
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