Car-following theory of steady-state traffic flow using time-to-collision
Car-following theory of steady-state traffic flow using time-to-collision作者机构:Journal of Zhejiang University-SCIENCE A (Appfied Physics & Engineering)
出 版 物:《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报(英文版)A辑(应用物理与工程))
年 卷 期:2013年第14卷第4期
页 面:243-243页
核心收录:
学科分类:0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程]
主 题:通用汽车公司 流量模型 碰撞时间 碰撞理论 稳态 跟车模型 行为模型 调查数据
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 mi- croscopic staggered car-following behavior, and the proposed model significantly enhances the practicality of the human driving behavior model.