Highway emergency vehicle routing plays a crucial role in reducing response times and increasing the efficiency of emergency services. This paper proposes a comprehensive highway emergency vehicle routing optimization model that considers traffic congestion, incident severity, and emergency vehicle availability. The proposed model aims to minimize the total response time, maximize the success rate of emergency response, and optimize the utilization of emergency vehicles. We implement the model using mixed-integer linear programming (MILP) and test its performance on a realworld dataset. The results demonstrate the effectiveness and practicality of the proposed model for optimizing emergency vehicle routing on highways.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A mixed-integer linear optimization problem for highway emergency vehicle routing


    Contributors:
    Easa, Said (editor) / Wei, Wei (editor) / Wang, Yueshan (author) / Tian, Jialei (author) / Li, Jing (author) / Cao, Yue (author) / Zhang, Jingwen (author)

    Conference:

    Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China


    Published in:

    Proc. SPIE ; 12790


    Publication date :

    2023-09-07





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A mixed-integer linear optimization problem for highway emergency vehicle routing

    Wang, Yueshan / Tian, Jialei / Li, Jing et al. | British Library Conference Proceedings | 2023



    Alternative mixed-integer linear programming models of a maritime inventory routing problem

    Jiang, Yongheng / Grossmann, Ignacio E. | Tema Archive | 2015


    Optimization of Air Vehicle Operations Using Mixed-Integer Linear Programming

    C. Schumacher / P. R. Chandler / M. Pachter et al. | NTIS | 2006