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

Yueshan Wang; Jialei Tian; Jing Li; Yue Cao; Jingwen Zhang

doi:10.1117/12.2690122

7 September 2023 A mixed-integer linear optimization problem for highway emergency vehicle routing

Yueshan Wang, Jialei Tian, Jing Li, Yue Cao, Jingwen Zhang

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905D (2023) https://doi.org/10.1117/12.2690122
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

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.

Citation Download Citation

Yueshan Wang, Jialei Tian, Jing Li, Yue Cao, and Jingwen Zhang "A mixed-integer linear optimization problem for highway emergency vehicle routing", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905D (7 September 2023); https://doi.org/10.1117/12.2690122

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