Vehicle Lane-Changing Safety Pre-Warning Model under the Environment of the Vehicle Networking

Qiang Luo, Xiaodong Zang, Xu Cai, Huawei Gong, Jie Yuan and Junheng Yang
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Qiang Luo: School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
Xiaodong Zang: School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
Xu Cai: School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
Huawei Gong: School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
Jie Yuan: School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
Junheng Yang: School of Civil Engineering, Guangzhou University, Guangzhou 510006, China

Sustainability, 2021, vol. 13, issue 9, 1-16

Abstract: Lane-changing behavior is one of the most common driving behaviors while driving. Due to the complexity of its operation, vehicle collision accidents are prone to occur when changing lanes. Under the environment of vehicle networking, drivers can obtain more accurate traffic information in time, which can be of great help in terms of improving lane-changing safety. This paper analyzes the core factors that affect the safety of vehicles changing lanes, establishes the weight model of influencing factors of lane-changing behavior using the analytic hierarchy process (AHP), and obtains the calculation method of lane-changing behavior factors (LCBFs). Based on the fuzzy reasoning theory, the headway between the lane-changing vehicle and adjacent vehicles in the target lane was examined, and fuzzy logic lane-changing models were established for both situations (i.e., change to the left and change to the right lane). The fuzzy logic lane-changing models were tested via simulation experiments, and the test results showed that the models have a better warning effect on lane changing (LCBF = 1.5), with an accuracy of more than 90%. Thus, the established model in this paper can provide theoretical support for safety warnings when changing lanes and theoretical support for the sustainable development of transportation safety.

Keywords: traffic safety; lane-changing model; analytic hierarchy process; fuzzy control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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