A new cellular automata traffic flow model considering asynchronous update of vehicle velocity

被引：8

作者：

Li, Qi-Lang ^{[1
]}

Jiang, Rui ^{[2
]}

Ding, Zhong-Jun ^{[3
]}

Wang, Bing-Hong ^{[4
]}

机构：

[1] Anhui Jianzhu Univ, Sch Math & Phys, Hefei 230601, Peoples R China

[2] Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, Beijing 100044, Peoples R China

[3] Hefei Univ Technol, Sch Automot & Transportat Engn, Hefei 230009, Peoples R China

[4] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2020年 / 31卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Traffic flow; asynchronization; velocity; fundamental diagram; cellular automata; PATTERNS; BEHAVIOR; SPEED; DELAY;

D O I：

10.1142/S0129183120501673

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This study examines the cellular automata traffic flow model, which considers the asynchronous update of vehicles' velocities. Computer simulations are used to identify three typical phases: linear free flow phase, nonlinear moving phase and traffic jam phase. Compared to the original NaSch model, the system of the present model can reach the maximum flow when the vehicle density is higher. The influence of the delay probability and the maximum time step in which drivers intend to keep their current velocity on fundamental diagram is discussed.

引用

页数：10

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