摘要
为了解决潜在事故条件下路网交通救援多响应问题,提出了一个优化的应急救援资源派遣方法.用车辆行驶时间代替传统方法中的行驶距离作为路段权值,以真实反映交通状态对救援资源派遣决策的影响;依据不同种类救援车辆行驶特征修正派遣决策时间,表现了不同种类救援车辆派遣方式的差异性;使用遗传算法获得了所建救援资源派遣模型的优化解.应用案例结果表明,所提方法能够根据当前与潜在事故所需资源种类和数量的变化,准确揭示潜在事故对救援成本的影响,并获得潜在事故响应的路网优化派遣方案,具有工程适用性.
An optimal resource dispatching method is proposed to solve the multiple-response problem under the conditions of potential incidents on freeway networks.Travel time of the response vehicle is selected instead of route distance as the weight to reflect the impact of traffic conditions on the decisions of rescue resources.According to the characteristics of different types of rescue vehicles the dispatching decision-making time is revised to show the heterogeneity among different rescue vehicle dispatching modes. The genetic algorithm is used to obtain the solutions to the rescue resources dispatching model. A case study shows that the proposed method can accurately reveal the impact of potential incidents on the costs of rescues according to the variations in the types and quantities of rescue resources and the optimal dispatching plan with respect to potential incidents can be obtained.The proposed method is applicable in real world scenarios.
基金
The National Natural Science Foundation of China(No.71101025)
the Science and Technology Key Plan Project of Changzhou(No.CE20125001)
关键词
优化派遣
潜在事故
遗传算法
救援资源
道路路网
optimal dispatching
potential incident
geneticalgorithm
rescue resource
freeway network
