Review of the cellular automata models for reproducing synchronized traffic flow

被引:19
作者
Tian, Junfang [1 ]
Zhu, Chenqiang [1 ]
Jiang, Rui [2 ]
Treiber, Martin [3 ]
机构
[1] Tianjin Univ, Coll Management & Econ, Inst Syst Engn, Tianjin, Peoples R China
[2] Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Minist Transport, Beijing 100044, Peoples R China
[3] Tech Univ Dresden, Inst Transport & Econ, Dresden, Germany
基金
中国国家自然科学基金;
关键词
Cellular automata approach; traffic flow models; synchronized traffic flow modeling; CAR-FOLLOWING BEHAVIOR; EXPERIMENTAL FEATURES; METASTABLE STATES; SIMULATION-MODEL; PATTERNS; VEHICLES; CAPACITY; HIGHWAY; RANDOMIZATION; OSCILLATIONS;
D O I
10.1080/23249935.2020.1810820
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Cellular automaton (CA) approach is an important theoretical framework for studying complex system behavior and has been widely applied in various research field. CA traffic flow models have the advantage of flexible evolution rules and high computation efficiency. Therefore, CA develops very quickly and has been widely applied in transportation field. In recent two decades, traffic flow study quickly developed, among which 'synchronized flow' is perhaps one of the most important concepts and findings. Many new CA models have been proposed in this direction. This paper makes a review of the development of CA models, concerning their ability to reproduce synchronized flow as well as traffic breakdown from free flow to synchronized flow. Finally, future directions have been discussed.
引用
收藏
页码:766 / 800
页数:35
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