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作 者:蒲港 杨佳鑫 杨磊 李国旗[1,2,3] PU Gang;YANG Jiaxin;YANG Lei;LI Guoqi(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu 611756,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China)
机构地区:[1]西南交通大学交通运输与物流学院,四川成都611756 [2]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 [3]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
出 处:《安全与环境工程》2024年第4期116-124,共9页Safety and Environmental Engineering
基 金:四川省自然科学基金面上项目(2022NSFSC0417)。
摘 要:重大突发事件造成的伤员人数往往超出现场急救、转运和处理能力,邻近医院仅能提供有限的医疗救援服务,高效地转运不同受伤程度的伤员成为紧急医疗救援的关键。以全部伤员的健康状态总和最大为目标,考虑伤员病情随时间动态恶化的程度,提出了一种救护车与社会车辆共同救援的多车场、多车型、多周期紧急医疗救援路径优化模型,并以成都市的部分安置点和医院的实际数据为例,采用启发式邻域搜索算法对模型进行求解,验证了模型的有效性。结果表明:采用共同救援模式可有效提高伤员整体健康水平。研究结果可为重大突发事件下的伤员转运及通道保障提供决策参考。When major emergencies occur,the scale of the injured persons exceeds the capacity for on-site emergency care,transport and treatment,and the nearest hospitals can only provide limited emergency medical 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 results show that the use of the joint rescue model is effective in improving the overall health of injured persons.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
分 类 号:X4[环境科学与工程—灾害防治]
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