Study on Freeway Congestion Propagation in Foggy Environment Based on CA-SIR Model

Jiao Yao, Jiaping He, Yujie Bao, Jiayang Li and Yin Han ()
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Jiao Yao: Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
Jiaping He: Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
Yujie Bao: Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
Jiayang Li: Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
Yin Han: Business School, University of Shanghai for Science and Technology, Shanghai 200093, China

Sustainability, 2022, vol. 14, issue 23, 1-18

Abstract: The visibility in a foggy environment has a significant impact on driver behavior and traffic flow status, especially for whole closed highways with long distances between entrances and exits. Foggy days are very likely to cause congestion and even secondary traffic accidents, which seriously affect the reliability of freeway operation. In order to explore the influence of a fog environment on freeway traffic jams, firstly, this paper was based on the analysis of the impact of visibility on foggy days. Light fog, medium fog and heavy fog were classified as one scenario, while dense foggy weather was set separately as an extreme scenario without considering lane change. Furthermore, it used the SIR model of infectious disease for reference, and combined with the cellular automata (CA) model, the car-following model and lane-changing rules in different scenarios were set based on safe driving distance and speed for two scenarios. Finally, the key parameters of CA-SIR were calibrated, such as congestion propagation, recovery probability, vehicle braking, and lane-changing probability. The simulation analysis showed that with the decrease in visibility and vehicle speed, the phenomenon of congestion propagation was more prominent, but the causes of queuing phenomenon were different. A low speed limit was the main reason for traffic jams in the light fog condition. In the medium fog condition, the frequency of traffic jams was related to the random braking probability of the visibility. In heavy fog conditions, the congestion area gradually moved upstream with the passage of time. Moreover, in the dense fog condition, the congested area gradually moved upstream with the passage of time; however, vehicles were more likely to accompany each other, and the congested area traveled downstream synchronously with the passage of time and did not dissipate easily. Therefore, in a foggy environment, the best speed limit should be better established under different visibilities, the flow of highway traffic should be strictly controlled if necessary, and in worse situations than high-density traffic in low visibility, to avoid the spread of congestion, the intermittent release of different lanes is suggested to be implemented.

Keywords: traffic engineering; congestion propagation; foggy environment; cellular automata epidemic (CA-SIR) model; freeway (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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