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考虑伤员健康状态变化的紧急医疗救援路径优化

蒲港 杨佳鑫 杨磊 李国旗

安全与环境工程2024,Vol.31Issue(4):116-124,9.
安全与环境工程2024,Vol.31Issue(4):116-124,9.DOI:10.13578/j.cnki.issn.1671-1556.20230109

考虑伤员健康状态变化的紧急医疗救援路径优化

Optimization of emergency medical rescue pathways considering changes in injured person health status

蒲港 1杨佳鑫 1杨磊 1李国旗1

作者信息

  • 1. 西南交通大学交通运输与物流学院,四川 成都 611756||西南交通大学综合交通运输智能化国家地方联合工程实验室,四川成都 611756||西南交通大学综合交通大数据应用技术国家工程实验室,四川 成都 611756
  • 折叠

摘要

Abstract

When major emergencies occur,the scale of the injured persons exceeds the capacity for on-site e-mergency care,transport and treatment,and the nearest hospitals can only provide limited emergency medi-cal rescue services.Efficient transportation of injured persons with different degrees of injury becomes the key to emergency medical rescure.For this purpose,aiming at the maximum sum of the health status of all the injured and considering the dynamic deterioration of the injured person condition over time,we propose a multi-vehicle field,multi-vehicle and multi-cycle emergency medical rescue pathway optimization model for ambulance and social vehicle joint rescue.Finally,using the Chengdu city settlement and hospital data as examples,the model was solved and validated using an heuristic neighborhood search algorithm.The re-sults show that the use of the joint rescue model is effective in improving the overall health of injured per-sons.The results of the study can provide a decision-making reference for injured person transportation and access protection in major emergencies.

关键词

重大突发事件/紧急医疗救援/共同救援/路径优化/伤员健康状态/启发式邻域搜索算法

Key words

major emergency/emergency medical rescue/joint rescue/pathway optimization/injured person health status/heuristic neighborhood search algorithm

分类

资源环境

引用本文复制引用

蒲港,杨佳鑫,杨磊,李国旗..考虑伤员健康状态变化的紧急医疗救援路径优化[J].安全与环境工程,2024,31(4):116-124,9.

基金项目

四川省自然科学基金面上项目(2022NSFSC0417) (2022NSFSC0417)

安全与环境工程

OA北大核心CSTPCD

1671-1556

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