A new cellular automaton model accounting for stochasticity in traffic flow induced by heterogeneity in driving behavior

doi:10.1088/1674-1056/ab343b

中国物理B ›› 2019, Vol. 28 ›› Issue (9): 98901-098901.doi: 10.1088/1674-1056/ab343b

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇

A new cellular automaton model accounting for stochasticity in traffic flow induced by heterogeneity in driving behavior

Xiaoyong Ni(倪晓勇), Hong Huang(黄弘)

1 Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China;
2 Beijing Key Laboratory of City Integrated Emergency Response Science, Tsinghua University, Beijing 100084, Chinas

收稿日期:2019-02-27 修回日期:2019-06-25 出版日期:2019-09-05 发布日期:2019-09-05
通讯作者: Hong Huang E-mail:hhong@tsinghua.edu.cn
基金资助:
Project supported by the National Key Research and Development Program of China (Grant No. 2018YFC0809900) and the National Natural Science Foundation of China (Grant Nos. 71774093 and 71473146).

A new cellular automaton model accounting for stochasticity in traffic flow induced by heterogeneity in driving behavior

Xiaoyong Ni(倪晓勇)^1,2, Hong Huang(黄弘)^1,2

1 Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China;
2 Beijing Key Laboratory of City Integrated Emergency Response Science, Tsinghua University, Beijing 100084, Chinas

Received:2019-02-27 Revised:2019-06-25 Online:2019-09-05 Published:2019-09-05
Contact: Hong Huang E-mail:hhong@tsinghua.edu.cn
Supported by:
Project supported by the National Key Research and Development Program of China (Grant No. 2018YFC0809900) and the National Natural Science Foundation of China (Grant Nos. 71774093 and 71473146).

摘要/Abstract

摘要：

A new reliable cellular automaon (CA) model designed to account for stochasticity in traffic flow induced by heterogeneity in driving behavior is presented. The proposed model differs from most existing CA models in that this new model focuses on describing traffic phenomena by coding into its rules the key idea that a vehicle's moving state is directly determined by a driver stepping on the accelerator or on the brake (the vehicle's acceleration). Acceleration obeys a deformed continuous distribution function when considering the heterogeneity in driving behavior and the safe distance, rather than equaling a fixed acceleration value with a probability, as is the rule in many existing CA models. Simulation results show that the new proposed model is capable of reproducing empirical findings in real traffic system. Moreover, this new model makes it possible to implement in-depth analysis of correlations between a vehicle's state parameters.

关键词: cellular automaton, numerical simulations, traffic models

Abstract:

Key words: cellular automaton, numerical simulations, traffic models

中图分类号: (Transportation)

89.40.-a

45.70.Vn (Granular models of complex systems; traffic flow) 07.05.Tp (Computer modeling and simulation)

倪晓勇, 黄弘. A new cellular automaton model accounting for stochasticity in traffic flow induced by heterogeneity in driving behavior[J]. 中国物理B, 2019, 28(9): 98901-098901.

Xiaoyong Ni(倪晓勇), Hong Huang(黄弘). A new cellular automaton model accounting for stochasticity in traffic flow induced by heterogeneity in driving behavior[J]. Chin. Phys. B, 2019, 28(9): 98901-098901.

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A new cellular automaton model accounting for stochasticity in traffic flow induced by heterogeneity in driving behavior

A new cellular automaton model accounting for stochasticity in traffic flow induced by heterogeneity in driving behavior

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