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.
Recommended Citation
Liu, Zhanhong; Yang, Xiujian; Wu, Xiangji; and Zhen, Huang
(2021)
"Modeling and Simulation of Car Following in Fog Based on Cellular Automata,"
Journal of System Simulation: Vol. 33:
Iss.
10, Article 13.
DOI: 10.16182/j.issn1004731x.joss.20-0598
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss10/13
First Page
2399
Revised Date
2020-11-20
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0598
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.
DOI
10.16182/j.issn1004731x.joss.20-0598
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