Connectivity’s impact on mandatory lane-changing behaviour: Evidences from a driving simulator study |
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| Institution: | 1. School of Civil Engineering, School of Civil Engineering, The University of Queensland, St. Lucia 4072, Brisbane, Australia;2. School of Civil Engineering & Built Environment, Science and Engineering Faculty, Queensland University of Technology, 2 George St GPO Box 2434, Brisbane, Qld 4001, Australia;1. MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, PR China;2. Center for Accident Research and Road Safety-Queensland (CARRS-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology, 130 Victoria Park Road, Kelvin Grove, Queensland 4059, Australia;1. Beijing Engineering Research Center of Urban Transport Operation Guarantee, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, PR China;2. Traffic Operations & Safety Laboratory, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706, USA;3. China Railway Beijing Group Co., Ltd., Beijing, 100860, PR China;4. Ford Motor Co., 22000 Michigan Ave, Dearborn, MI48124, USA;1. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region;2. School of Engineering, Sun Yat-Sen University, Guangzhou, China;3. Guangdong Provincial Key Laboratory of Intelligent Transportation Systems, Guangzhou, China |
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| Abstract: | The connected environment provides driving aids to help drivers making efficient and safe driving decisions. The literature to date is devoid of conclusive evidences of the connected environment’s impact on drivers’ mandatory lane-changing (MLC) behaviour. As such, the objective of this study is to examine MLC behaviour through a driving simulator experiment using the CARRS-Q Advanced Driving Simulator. Participants with diverse background performed the experiment in randomised driving conditions: baseline (without the driving aids), connected environment with perfect communication, and connected environment with communication delay. Repeated measure ANOVA in the form of linear mixed model and Generalized Estimation Equation (GEE) are employed to analyse various driving performance indicators during MLC event. We find that drivers in the connected environment tend to wait longer, increase the initial speed, and maintain a larger spacing, compared to when they are driving in the baseline condition. In addition, drivers in the connected environment are likely to reject fewer number of gaps and select relatively bigger gap sizes. Furthermore, post-encroachment time (PET) in the connected environment is higher across different gap sizes, indicating that the connected environment makes MLC safer. The GEE model on gap acceptance suggests that the perfect communication and communication delay has positive and negative impact on the accepted gap size, respectively, and the GEE model on lane-change duration indicates that lane-change duration tends to increase in the connected environment. |
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| Keywords: | Connectivity Mandatory lane-changing Gap acceptance Driving behaviour Safety |
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