|Table of Contents|

[1] Chai Gan, Zhu Canghui, Wan Shui, Pu Juyi, et al. Decision model and algorithmfor traffic rescue resource dispatching on expressway [J]. Journal of Southeast University (English Edition), 2009, 25 (2): 252-256. [doi:10.3969/j.issn.1003-7985.2009.02.023]
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Decision model and algorithmfor traffic rescue resource dispatching on expressway()
高速公路交通救援资源派遣的决策模型与算法
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
25
Issue:
2009 2
Page:
252-256
Research Field:
Traffic and Transportation Engineering
Publishing date:
2009-06-30

Info

Title:
Decision model and algorithmfor traffic rescue resource dispatching on expressway
高速公路交通救援资源派遣的决策模型与算法
Author(s):
Chai Gan Zhu Canghui Wan Shui Pu Juyi
Intelligent Transportation System Research Center, Southeast University, Nanjing 210096, China
柴干 朱苍晖 万水 濮居一
东南大学智能运输系统研究中心, 南京 210096
Keywords:
dispatch decision model scene decomposition algorithm traffic rescue resource expressway
派遣决策模型 情景分解算法 交通救援资源 高速公路
PACS:
U491
DOI:
10.3969/j.issn.1003-7985.2009.02.023
Abstract:
In order to solve the problems of potential incident rescue on expressway networks, the opportunity cost-based method is used to establish a resource dispatch decision model.The model aims to dispatch the rescue resources from the regional road networks and to obtain the location of the rescue depots and the numbers of service vehicles assigned for the potential incidents.Due to the computational complexity of the decision model, a scene decomposition algorithm is proposed.The algorithm decomposes the dispatch problem from various kinds of resources to a single resource, and determines the original scene of rescue resources based on the rescue requirements and the resource matrix.Finally, a convenient optimal dispatch scheme is obtained by decomposing each original scene and simplifying the objective function.To illustrate the application of the decision model and the algorithm, a case of the expressway network is studied on areas around Nanjing city in China and the results show that the model used and the algorithm proposed are appropriate.
为了解决高速公路路网潜在事故的救援问题, 应用机会成本方法建立资源派遣决策模型.该模型能够调度区域路网的救援资源, 获得用于潜在事故救援的救援点与救援车辆数.针对模型的计算复杂性, 提出情景分解算法.该算法首先将多资源派遣问题分解为各个单资源派遣问题, 然后根据救援需求和资源矩阵, 确定所需救援资源的原始情景.最后, 通过对原始情景的分解和目标函数的简化, 便捷获取资源派遣方案.以南京市周边高速公路路网作为应用实例, 验证了所用模型与所提算法的可行性.

References:

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Memo

Memo:
Biography: Chai Gan(1963—), male, doctor, associate professor, chaig@263.net.
Foundation items: The National Natural Science Foundation of China(No.50422283), the Science and Technology Key Plan Project of Henan Province(No.072102360060).
Citation: Chai Gan, Zhu Canghui, Wan Shui, et al.Decision model and algorithm for traffic rescue resource dispatching on expressway[J].Journal of Southeast University(English Edition), 2009, 25(2):252-256.
Last Update: 2009-06-20