Precise Collaborative Control of Highway Accident Scenarios Based on Cellular Automata

Ya-zhou WANG , Rui-jun ZHENG , Jing-ya GAO , Zhi-xin YU , Jian-dong ZHAO

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (21) : 9158 -9165.

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Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (21) : 9158-9165 DOI: 10.12404/j.issn.1671-1815.2406102
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Precise Collaborative Control of Highway Accident Scenarios Based on Cellular Automata
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Abstract

To mitigate the impact of highway accidents on traffic capacity and driving safety, a coordinated control strategy was proposed involving both service areas and toll stations. Firstly, the proposed coordinated control strategy was described in detail. Secondly, to simulate traffic flow more accurately under highway accident scenarios, the cellular automata model was enhanced by introducing different random deceleration probabilities, acceleration/deceleration rates, and lane-changing conditions for different vehicle types. Finally, the effectiveness of the proposed control strategy was validated through simulation. The results indicate that, compared to scenarios without control measures, implementing service area control can reduce average vehicle delay, fuel consumption, and cumulative carbon emissions by 62.90%, 69.50%, and 69.50% respectively. Moreover, using the coordinated control strategy of service areas and toll stations can further reduce these metrics by 55.76%, 59.58%, and 59.58% respectively. Precise control measures can significantly reduce the impact of accidents.

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highway / accident / collaborative control / cellular automata

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Ya-zhou WANG, Rui-jun ZHENG, Jing-ya GAO, Zhi-xin YU, Jian-dong ZHAO. Precise Collaborative Control of Highway Accident Scenarios Based on Cellular Automata. Science Technology and Engineering, 2025, 25(21): 9158-9165 DOI:10.12404/j.issn.1671-1815.2406102

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