A cellular automata traffic flow model considering the heterogeneity of acceleration and delay probability

被引:25
作者
Li, Qi-Lang [1 ,2 ]
Wong, S. C. [2 ]
Min, Jie [1 ]
Tian, Shuo [3 ]
Wang, Bing-Hong [4 ]
机构
[1] Anhui Jianzhu Univ, Sch Math & Phys, Hefei 230601, Peoples R China
[2] Univ Hong Kong, Dept Civil Engn, Hong Kong, Hong Kong, Peoples R China
[3] Fudan Univ, Sch Social Dev & Publ Policy, Shanghai 200433, Peoples R China
[4] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China
关键词
Traffic flow; Cellular automata; Heterogeneity; Acceleration; Delay probability; SPATIAL-TEMPORAL PATTERNS; PHASE-DIAGRAMS; DRIVERS; RANDOMIZATION; INTERSECTION; VEHICLES; BEHAVIOR; PHYSICS; TIME;
D O I
10.1016/j.physa.2016.03.026
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This study examines the cellular automata traffic flow model, which considers the heterogeneity of vehicle acceleration and the delay probability of vehicles. Computer simulations are used to identify three typical phases in the model: free-flow, synchronized flow, and wide moving traffic jam. In the synchronized flow region of the fundamental diagram, the low and high velocity vehicles compete with each other and play an important role in the evolution of the system. The analysis shows that there are two types of bistable phases. However, in the original Nagel and Schreckenberg cellular automata traffic model, there are only two kinds of traffic conditions, namely, free-flow and traffic jams. The synchronized flow phase and bistable phase have not been found. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:128 / 134
页数:7
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