American Society of Civil Engineers


Optimized Dispatch of Expressway Block Removal and Rescue Resources Based on Genetic Algorithms


by Gan Chai, (Associate Professor, Intelligent Transportation System Research Center, Southeast University, Nanjing, Jiangsu, 210096, China. E-mail: chaig@263.com), Xi-Ying Wang, (Graduate student, Intelligent Transportation System Research Center, Southeast University, Nanjing, Jiangsu, 210096, China. E-mail: wang.xiying21@gmail.com), and Jian-Hua Guo, (Professor, Intelligent Transportation System Research Center, Southeast University, Nanjing, Jiangsu, 210096, China. E-mail: seugjh@163.com)
Section: Volume I: Highway Transportation, pp. 802-815, (doi:  http://dx.doi.org/10.1061/41177(415)102)

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Document type: Conference Proceeding Paper
Part of: ICTIS 2011: Multimodal Approach to Sustained Transportation System Development: Information, Technology, Implementation
Abstract: An optimal resource dispatching model for expressway block removal and rescue based on potential accidents is proposed in this paper, in which the dispatch decision time is selected as the weight for each road segment according to the severity of potential accidents and can be modified based on the operating characteristics of different types of rescuing vehicles. The proposed model can handle the impact of the severity of accidents upon the rescuing efficiency and the differences in dispatching different types of rescuing vehicles. Genetic algorithm is used to solve the multi-level dispatching problem under the condition of multiple accidents and rescuing resource requirements and hence generate the optimal resources dispatching strategy. Empirical results on the expressway network in Nanjing province show that with the increase of traffic accidents, rescue depots, and the variety and amount of required resources, the proposed model can generate an optimal rescuing resources dispatching strategy, demonstrating the applicability of the proposed model in real world expressway network.


ASCE Subject Headings:
Optimization
Algorithms
Traffic accidents