Car-following theory of steady-state traffic flow using time-to-collision  

作　　者：Sheng JIN Zhi-yi HUANG Peng-fei TAO Dian-hai WANG 

机构地区：[1]College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China [2]College of Traffic and Transportation, Jilin University, Changchun 130022, China

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2011年第8期645-654,共10页浙江大学学报（英文版）A辑（应用物理与工程）

基　　金：Project supported by the National Natural Science Foundation of China (No. 70971053);the National High-Tech R&D Program (863) of China (No. 2011AA110304);the China Postdoctoral Science Foundation (No. 20100481419)

摘　　要：The conventional car-following theory is based on the assumption that vehicles will travel along the center line of lanes. However, according to the field survey data, in complex traffic conditions, a lateral separation between the leader and the follower frequently occurs. Accordingly, by taking lateral separation into account, we redefined the equation of time-to-collision (TTC) using visual angle information. Based on the stimulus-response framework, TTC was introduced into the basic General Motors (GM) model as a stimulus, and a non-lane-based car-following model of steady-state traffic flow was developed. The property of flow-density relationship was further investigated after integrating the proposed car-following model with different parameters. The results imply that the property of steady-state traffic flow and the capacity of each lane are highly relevant to the microscopic staggered car-following behavior, and the proposed model significantly enhances the practicality of the human driving behavior model.The conventional car-following theory is based on the assumption that vehicles will travel along the center line of lanes. However, according to the field survey data, in complex traffic conditions, a lateral separation between the leader and the follower frequently occurs. Accordingly, by taking lateral separation into account, we redefined the equation of time-to-collision （TTC） using visual angle information. Based on the stimulus-response framework, TTC was introduced into the basic General Motors （GM） model as a stimulus, and a non-lane-based car-following model of steady-state traffic flow was developed. The property of flow-density relationship was further investigated after integrating the proposed car-following model with different parameters. The results imply that the property of steady-state traffic flow and the capacity of each lane are highly relevant to the microscopic staggered car-following behavior, and the proposed model significantly enhances the practicality of the human driving behavior model

关 键 词：Non-lane-based Visual angle Time-to-collision(TTC) Flow-density curve 

分 类 号：U491.2[交通运输工程—交通运输规划与管理]