易爆品运输车辆中的路径选择模型仿真

发布时间：2018-01-08 09:36

本文关键词：易爆品运输车辆中的路径选择模型仿真　出处：《计算机仿真》2015年01期 　论文类型：期刊论文

【摘要】：易爆品运输车辆必须选择最优路线模型,以保证运输安全。易爆品运输过程中,不但需要考虑运输成本和运输的线路,还需要考虑运输风险的因素。传统的路线选择模型仅仅以成本分析为基础,没有加入易爆品运输的风险因素,路线选择存在较大缺失。提出采用粒子群离散变换算法的易爆品运输车辆路径选择方法。根据最小二乘法相关原理,计算运输路径危险环境函数,获取危险程度拟合曲线,根据该函数得到运输路径中的危险程度。根据最小危害路径选择的目标函数,对所有的待优化变量进行二进制编码,并针对编码结果进行离散化变换,实现易爆品运输车辆路径的选择。实验结果表明,利用改进算法进行易爆品运输车辆路径选择,降低了路径协同误差和路径选择误差。
[Abstract]:In order to ensure transportation safety, the transportation cost and route of explosive goods should not only be taken into account in the process of transportation, but also the optimal route model must be chosen. The traditional route selection model is only based on cost analysis and does not include risk factors of explosive transport. The route selection method is proposed, which uses particle swarm optimization (PSO) algorithm to select the route of explosive transport vehicle. According to the principle of least square method, the dangerous environment function of transportation path is calculated. According to the risk degree fitting curve, the dangerous degree in the transportation route is obtained. According to the objective function of the minimum hazard path selection, all the variables to be optimized are coded by binary. According to the discrete transformation of coding results, the route selection of explosive transport vehicle is realized. The experimental results show that the improved algorithm is used to select the route of explosive transport vehicle. The path coordination error and path selection error are reduced.
【作者单位】：平顶山学院计算机科学与技术学院;西安电子科技大学计算机学院;
【基金】：河南省重点科技攻关项目(132102210443) 平顶山市科技创新人才计划项目(2012059)
【分类号】：U492.81;TP301.6
【正文快照】： 1引言易爆品运输车辆路径选择是指给定运输条件,以及起始和目标的位置[1],按照某一性能指标,选择一条从起始点到目标点的路径[2],使易爆品运输车辆能安全到达目的地,是交通运输领域研究的核心问题之一[3]。对易爆品运输车辆路径选择方法进行深入研究,可以提高易爆品运输车辆的

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