Modeling and analysis of car-following behavior considering backward-looking effect

• 来源期刊: 中国物理B（英文版）
• 年，卷（期）: 2021,（3）
• 所属期刊栏目: ELECTROMAGNETISM,OPTICS,ACOUSTICS,HEAT TRANSFER,CLASSICAL MECHANICS,AND FLUID DYNAMICS
• 页码范围: 367-376
• 页数: 10页
• 语种: 英文
• DOI: 10.1088/1674-1056/abc3b3

摘要

The car-following behavior can be influenced by its driver's backward-looking effect.Especially in traffic congestion,if vehicles adjust the headway by considering backward-looking effect,the stability of traffic flow can be enhanced.A model of car-following behavior considering backward-looking effect was built using visual information as a stimulus.The critical stability conditions were derived by linear and nonlinear stability analyses.The results of parameter sensitivity analysis indicate that the stability of traffic flow was enhanced by considering the backward-looking effect.The spatiotem-poral evolution of traffic flow of different truck ratios and varying degrees of backward-looking effect was determined by numerical simulation.This study lays a foundation for exploring the complex feature of car-following behavior and making the intelligent network vehicles control rules more consistent with human driver habits.