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Precise Collaborative Control of Highway Accident Scenarios Based on Cellular Automata
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Ya-zhou WANG1, 2, Rui-jun ZHENG2, 3, Jing-ya GAO2, 3, Zhi-xin YU4, Jian-dong ZHAO5, *
Science Technology and Engineering | 2025, 25(21) : 9158 - 9165
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Science Technology and Engineering | 2025, 25(21): 9158-9165
• Papers·Traffics and Transportations •
Precise Collaborative Control of Highway Accident Scenarios Based on Cellular Automata
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Ya-zhou WANG1, 2, Rui-jun ZHENG2, 3, Jing-ya GAO2, 3, Zhi-xin YU4, Jian-dong ZHAO5, *
Affiliations
  • 1 Hebei Provincial Communications Planning, Design and Research Institute Co., Ltd., Shijiazhuang 050000, China
  • 2 Yanzhao Modern Transportation Laboratory, Shijiazhuang 050800, China
  • 3 Hebei Transportation Investment Group Company Limited, Shijiazhuang 050000, China
  • 4 School of Systems Science, Beijing Jiaotong University, Beijing 100044, China
  • 5 School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Published: 2025-07-28 doi: 10.12404/j.issn.1671-1815.2406102
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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.

highway  /  accident  /  collaborative control  /  cellular automata
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[J]. Science Technology and Engineering, 2025 , 25 (21) : 9158 -9165 . DOI: 10.12404/j.issn.1671-1815.2406102
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Year 2025 volume 25 Issue 21
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Article Info
doi: 10.12404/j.issn.1671-1815.2406102
  • Receive Date：2024-08-15
  • Online Date：2026-01-13
  • Published：2025-07-28
Article Data
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History
  • Received：2024-08-15
  • Revised：2025-04-10
Funding
Affiliations
    1 Hebei Provincial Communications Planning, Design and Research Institute Co., Ltd., Shijiazhuang 050000, China
    2 Yanzhao Modern Transportation Laboratory, Shijiazhuang 050800, China
    3 Hebei Transportation Investment Group Company Limited, Shijiazhuang 050000, China
    4 School of Systems Science, Beijing Jiaotong University, Beijing 100044, China
    5 School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
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