An improved multi-value cellular automata model for heterogeneous bicycle traffic flow

被引：54
作者：
Jin, Sheng [1 ]
Qu, Xiaobo [2 ]
Xu, Cheng [3 ,4 ]
Ma, Dongfang [5 ]
Wang, Dianhai [1 ]
机构：
[1] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310058, Zhejiang, Peoples R China
[2] Griffith Univ, Griffith Sch Engn, Gold Coast 4222, Australia
[3] Zhejiang Police Coll, Dept Transportat Management Engn, Hangzhou 310053, Zhejiang, Peoples R China
[4] Jilin Univ, Coll Transportat, Changchun 130022, Peoples R China
[5] Zhejiang Univ, Ocean Coll, Hangzhou 310058, Zhejiang, Peoples R China
来源：
PHYSICS LETTERS A | 2015年 / 379卷 / 39期
基金：
中国国家自然科学基金;
关键词：
Regular bicycle; Electric bicycle; Multi-value cellular automata model; Fundamental diagram; Capacity; SIMULATION;
D O I：
10.1016/j.physleta.2015.07.031
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This letter develops an improved multi-value cellular automata model for heterogeneous bicycle traffic flow taking the higher maximum speed of electric bicycles into consideration. The update rules of both regular and electric bicycles are improved, with maximum speeds of two and three cells per second respectively. Numerical simulation results for deterministic and stochastic cases are obtained. The fundamental diagrams and multiple states effects under different model parameters are analyzed and discussed. Field observations were made to calibrate the slowdown probabilities. The results imply that the improved extended Burgers cellular automata (IEBCA) model is more consistent with the field observations than previous models and greatly enhances the realism of the bicycle traffic model. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：2409 / 2416
页数：8
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