首页|考虑交叉口使用数量的救援交通优化研究

考虑交叉口使用数量的救援交通优化研究

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为科学规划局域突发灾害下救援车辆对道路的占用,通过考虑救援车辆在路网上通行时使用的交叉口数量,以救援车辆尽快到达受灾区域为目标,建立救援交通优化的混合整数线性规划模型.针对救援车辆使用的交叉口数量的约束值上限为未知参数且无约束进行限制的特点,设计两阶段算法,分析救援车辆在路网上通行时对交叉口的使用情况及其对路径选择与通行效率的影响,提出救援车辆路径选择的建议.结果表明:通过限制救援车辆在路网上通过的交叉口数量,能够在不延误救援车辆到达受灾区域的情况下,获得不同的最优救援路径并减少占用的道路.因此,调整救援车辆在路网上通过的交叉口数量可以用于优化路网资源配置.
Research on Rescue Traffic Optimization with Used Intersection Number
In order to scientifically plan the occupation of roads for rescue vehicles in the local sudden disaster,by consider-ing the number of intersections used by rescue vehicles on the road network,with the aim of the quick arrival of rescue vehicles to the disaster area,mixed integer linear programming model of rescue traffic optimization was developed.Considering that the upper limit of the restriction value for the number of intersections used by rescue vehicles was an unknown parameter and there was no constraint to limit it in the rescue traffic optimization model,two-stage solving algorithm was designed.Based on the pro-posed model and algorithm,the intersection choice of rescue vehicles and its impact on rescue traffic route choice and rescue traf-fic operation efficiency were analyzed,and the suggestion of rescue traffic route choice was proposed.The results show:by re-stricting the number of intersections used by rescue vehicles on the road network,different optimal rescue routes can be obtained and road occupation can also be reduced without delaying the arrival of rescue vehicles in the disaster area.Therefore,adjusting the number of intersections through which rescue vehicles pass on the road network can be used to optimize the allocation of road network resources.

traffic emergency managementintersection number restrictionrescue traffic optimizationmixed integer linear programmingtwo-stage solving algorithm

刘颖楠、刘正

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中国电建路桥集团有限公司,北京 100160

郑州航空工业管理学院 管理工程学院,河南 郑州 450046

交通应急管理 交叉口数量约束 救援交通优化 混合整数线性规划 两阶段算法

教育部人文社会科学基金项目河南省科技攻关项目

23YJC630124232102320021

2024

武汉理工大学学报(信息与管理工程版)
武汉理工大学

武汉理工大学学报(信息与管理工程版)

CSTPCD
影响因子:0.37
ISSN:2095-3852
年,卷(期):2024.46(1)
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