Impact of Penetrations of Connected and Automated Vehicles on Lane Utilization Ratio

Xiaoyuan Wang, Shijie Liu, Huili Shi, Hui Xiang, Yang Zhang, Guowen He and Hanqing Wang
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Xiaoyuan Wang: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Shijie Liu: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Huili Shi: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Hui Xiang: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Yang Zhang: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Guowen He: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Hanqing Wang: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China

Sustainability, 2022, vol. 14, issue 1, 1-17

Abstract: Lane Utilization Ratio (LUR), affected by lane selection behavior directly, represents the traffic distribution on different lanes of road section for a single direction. The research on LUR, especially under Penetration Conditions of Connected and Automated Vehicles (PCCAV), is not comprehensive enough. Considering the difficulty in the conduction of real vehicle experiment and data collection under PPCAV, the lane selection model based on phase-field coupling and set pair logic, which considers the full-information of lanes, was used to carry out microscopic traffic simulation. From the analysis of microsimulation results, the basic relationships between Penetration of Connected and Automated Vehicles (PCAV), traffic volume, and Lane-Changing Times, also that between PCAV, traffic volume, and LUR in the basic section of the urban expressway were studied. Moreover, the influence of driving propensity on the effect of PCAVs was also studied. The research results could enrich the traffic flow theory and provide the theoretical basis for traffic management and control.

Keywords: Connected and Automated Vehicles; Lane Utilization Ratio; microsimulation; traffic flow; lane-changing behavior (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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