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Multi-category multi-objective path optimization algorithm in urban dynamic disaster environments
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Yingfei ZHANG1, 2, Hang LI1, 2, Yuliang QI3, Weiming WANG3, Hailin ZHANG4, Xiaobing HU1, 2
China Safety Science Journal | 2024, 34(9) : 217 - 224
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China Safety Science Journal | 2024, 34(9): 217-224
• Technology and engineering of disaster prevention and mitigation •
Multi-category multi-objective path optimization algorithm in urban dynamic disaster environments
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Yingfei ZHANG1, 2, Hang LI1, 2, Yuliang QI3, Weiming WANG3, Hailin ZHANG4, Xiaobing HU1, 2
Affiliations
  • 1 College of Safety Science and Engineering，Civil Aviation University of China，Tianjin 300300，China
  • 2 Laboratory of System Safety and Intelligent Decisions，Civil Aviation University of China，Tianjin 300300，China
  • 3 Hebei Province Highway Jingxiong Preparatory Office，Baoding Hebei 071000，China
  • 4 Jiaoke Transport Consultants Ltd.，Beijing 100191，China
Published: 2024-09-28 doi: 10.16265/j.cnki.issn1003-3033.2024.09.1544
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To improve urban response capabilities in dealing with dynamic disasters，a MCMPOP was proposed for planning emergency vehicle paths in dynamic disaster environments. This model considered path safety as a multiplicative weight and vehicle path length and travel time as additive weights. Then，MCMPOP was addressed by improving the RSA. To verify the effectiveness of the improved RSA in solving the MCMPOP，510 simulation experiments were conducted comparing the computer time and solution quality of the Non-dominated Sorting Genetic Algorithm(NSGA)-Ⅱ and the improved RSA. Furthermore，"7·20" Zhengzhou rainstorm event was selected as a case study to validate the model. The results show that，compared to the NSGA-II，the improved RSA can find a complete set of Pareto optimal paths，effectively ensuring the optimality and computational efficiency of the algorithm. By using RSA to solve MCMPOP，it is possible to successfully select Pareto optimal paths with the shortest travel path lengths and the lowest time costs within the acceptable path safety range for emergency vehicles，providing more reliable routes for emergency vehicles and enhancing the urban emergency management capabilities.

dynamic disaster environment  /  multi-category multi-objective path optimization problem (MCMPOP)  /  ripple spreading algorithm (RSA)  /  path planning  /  Pareto front
Yingfei ZHANG, Hang LI, Yuliang QI, Weiming WANG, Hailin ZHANG, Xiaobing HU. Multi-category multi-objective path optimization algorithm in urban dynamic disaster environments[J]. China Safety Science Journal, 2024 , 34 (9) : 217 -224 . DOI: 10.16265/j.cnki.issn1003-3033.2024.09.1544
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Year 2024 volume 34 Issue 9
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.09.1544
  • Receive Date：2024-03-14
  • Online Date：2025-07-09
  • Published：2024-09-28
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  • Received：2024-03-14
  • Revised：2024-06-20
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Affiliations
    1 College of Safety Science and Engineering，Civil Aviation University of China，Tianjin 300300，China
    2 Laboratory of System Safety and Intelligent Decisions，Civil Aviation University of China，Tianjin 300300，China
    3 Hebei Province Highway Jingxiong Preparatory Office，Baoding Hebei 071000，China
    4 Jiaoke Transport Consultants Ltd.，Beijing 100191，China
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