时间和成本最低的应急车辆调度研究  

Research on Emergency Vehicle Scheduling with the Lowest Time and Cost

作　　者：杨继星[1] 任延煜 陈文涛[2,3] 房玉东 YANG Jixing;REN Yanyu;CHEN Wentao;FANG Yudong(Communication and Information Center of the State Administration of Work Safety Beijing 100013)

机构地区：[1]国家安全生产监督管理总局通信信息中心,北京100013 [2]北京城市系统工程研究中心,北京100035 [3]中国职业安全健康协会,北京100011

出　　处：《工业安全与环保》2018年第11期40-42,83,共4页Industrial Safety and Environmental Protection

基　　金：国家重点研发计划(2016YFC0803109);国家科技支撑计划(2015BAK10B06)

摘　　要：为研究灾害发生后如何科学地进行救援,考虑受灾地区物资需求量及车辆运输时间为模糊变量,利用三角模糊数法建立以物资调度时间和成本最小为目标的非线性多目标模型。首先应用Buckley提出的模糊量处理方法,通过α截集和加权法将模型转化为单目标线性规划模型,最后求解得到初始模型最优可行方案和各目标值。仿真实验表明了算法的可行性,在考虑了调度成本和调度时间两个目标前提下,能较好地满足应急救援车辆调度优化需求。In order to study how to carry out scientific rescue after a disaster,considering the demands for materials in the affected area and vehicle transport time as the fuzzy variable,the nonlinear multi-objective model is established with the goal of minimizing the time and cost of material dispatching by using triangular fuzzy number method.Firstly,the method of fuzzy quantity proposed by Buckley is applied to transform the model into single-objective linear programming model byα-cut set and weighting method.Finally,the optimal feasible scheme and target values of the initial model are obtained.The simulation results show that the algorithm is feasible,and considering the two goals of scheduling cost and scheduling time,it can better meet the demand of emergency rescue vehicles scheduling optimization.

关 键 词：救援 车辆调度 三角模糊数 模型 

分 类 号：U492.22[交通运输工程—交通运输规划与管理]