In urban emergency management, it is crucial to plan paths for emergency vehicles quickly and accurately, especially in cases of traffic congestion and road damage due to extreme weather such as heavy rainfall. Traditional path planning algorithms often ignore the urgency of different demands, resulting in delayed emergency response time. To solve this problem, this study proposes an emergency vehicle path planning method based on Dijkstra's algorithm that considers the urgency of demands. When performing emergency rescue in heavy rainfall conditions, in conjunction with the Dijkstra algorithm, this paper considers some improvements to improve rescue effectiveness and response time. Road capacity, real-time data integration, multi-team collaboration and Dijkstra's algorithm are combined. With these improvements, the Dijkstra algorithm can be made more efficient and flexible to optimize the path, reduce the rescue time, and improve the efficiency in the emergency rescue problem under heavy rainfall condition.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Emergency Vehicle Route Planning Considering Demand Urgency Research


    Contributors:
    Cao, Hui (author) / Yuan, Shuli (author)


    Publication date :

    2024-12-13


    Size :

    943380 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vehicle Routing Problem of Emergency Logistics Considering the Demand Urgency

    Zhao, Jianyou / Li, Ling / Shen, Ke et al. | ASCE | 2020


    Research on Dynamic Route Guidance for an Emergency Vehicle Considering the Intersection Delay

    Chen, Shan Shan ;Zhao, Xin ;Sheng, Yu | Trans Tech Publications | 2014



    UAV Charging Station Planning and Route Optimization Considering Stochastic Delivery Demand

    Chen, Zhuoxu / Hu, Zechun / Bao, Zhiyuan et al. | IEEE | 2024


    Nonlinear Continuous Consumption Emergency Material Dispatching Model Based on Demand Urgency Degrees and Its Algorithm

    Song, Xiaoyu / Wang, Jianguo / Chang, Chunguang | British Library Online Contents | 2014