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Journal of System Simulation

Abstract

Abstract: In order to ensure the safety of driving in foggy weather, a microscopic model of car following and lane changing traffic flow is established based on cellular automata. In view of the instability of car following state in foggy weather, dynamic random acceleration is introduced to segment modeling. The simulation accuracy is improved by refining cell size and cell step size and adding position update allowance. The relationship curves of speed and vehicle dispersion with time and the speed density diagram are obtained. The results show that: the vehicle speed fluctuates greatly in medium fog; the dispersion of vehicle speed in dense fog is large; the number of lane changing decreases with the increase of fog concentration, which is consistent with the actual traffic characteristics. The model can partly reflect the microscopic characteristics of traffic flow, and more truly reflect the car following behavior in fog.

First Page

2399

Revised Date

2020-11-20

Last Page

2410

CLC

U495;TP391

Recommended Citation

Liu Zhanhong, Yang Xiujian, Wu Xiangji, Huang Zhen. Modeling and Simulation of Car Following in Fog Based on Cellular Automata[J]. Journal of System Simulation, 2021, 33(10): 2399-2410.

Corresponding Author

Xiujian Yang,

DOI

10.16182/j.issn1004731x.joss.20-0598

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