A new car-following model yielding log-normal type headways distributions

被引：42

作者：

Li Li ^{[1
]}

Wang Fa ^{[1
]}

Jiang Rui ^{[2
]}

Hu Jian-Ming ^{[1
]}

Ji Yan ^{[1
]}

机构：

[1] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Dept Automat, Beijing 100084, Peoples R China

[2] Univ Sci & Technol China, Sch Engn Sci, Hefei 230026, Peoples R China

来源：

CHINESE PHYSICS B | 2010年 / 19卷 / 02期

基金：

中国国家自然科学基金;

关键词：

traffic flow; car-following; log-normal distribution;

D O I：

10.1088/1674-1056/19/2/020513

中图分类号：

O4 [物理学];

学科分类号：

070305 [高分子化学与物理];

摘要：

Modeling time headways between vehicles has attracted increasing interest in the traffic flow research field recently, because the corresponding statistics help to reveal the intrinsic interactions governing the vehicle dynamics. However, most previous micro-simulation models cannot yield the observed log-normal distributed headways. This paper designs a new car-following model inspired by the Galton board to reproduce the observed time-headway distributions as well as the complex traffic phenomena. The consistency between the empirical data and the simulation results indicates that this new car-following model provides a reasonable description of the car-following behaviours.

引用

页数：6

共 21 条

[1]

Modeling highway-traffic headway distributions using superstatistics [J].