城市应急管理中社会服务车辆集群的智能调度策略研究  

Research on Intelligent Scheduling Strategy of Social Service Vehicle Cluster in Public Risk Aiming at Urban Emergency Management

作　　者：曾柏铭 郭为安[1] 汪镭[2] ZENG Baiming;GUO Weian;WANG Lei(Sino-German College Applied Sciences of Tongji University,Tongji University,Shanghai 201804,China;School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)

机构地区：[1]同济大学中德工程学院,上海201804 [2]同济大学电子与信息工程学院,上海201804

出　　处：《微型电脑应用》2023年第4期1-5,共5页Microcomputer Applications

基　　金：国家自然科学基金资助(71771176);上海市自然科学基金资助(19ZR1479000,20692191200)。

摘　　要：为了有效满足城市应急管理状态下居民的物资需求,同时减少人员接触而降低感染风险,需要优化社会服务车辆集群的调度方案,提升车辆运输效率。通过综合考虑运输时间、运输距离和经济效益,采用层次分析法计算投入的综合权重和功效系数法得到总功效系数。以成都市二环内13个街道为研究案例寻求最优配送中心,并以时间为要素通过遗传算法求解车辆路径优化问题,得到具体的物资配送方案。In order to meet the material needs of urban residents and reduce the risk of infection by reducing personnel contact,it is necessary to develop a vehicle scheduling scheme to improve the efficiency of vehicle transportation.By considering the transportation time,transportation distance and economic benefits,the analytic hierarchy process is used to calculate the comprehensive weight of input and the efficiency coefficient method is used to get the total efficiency coefficient,so as to find the optimal distribution center for the 13 streets in the second ring road of Chengdu.The vehicle routing problem is solved by genetic algorithm with time as an element.

关 键 词：层次分析法 功效系数法 遗传算法 车辆路径问题 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]