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作 者:谢羽盟 张培林[1] 莫杨辉 冯军涛 XIE Yumeng;ZHANG Peilin;MO Yanghui;FENG Juntao(School of Transportation,Wuhan University of Technology,Wuhan430063,China;Anlu Highway Administration Bureau,Anlu432603,China)
机构地区:[1]武汉理工大学交通学院,武汉430063 [2]安陆市公路管理局,安陆432603
出 处:《武汉理工大学学报(交通科学与工程版)》2018年第6期992-996,共5页Journal of Wuhan University of Technology(Transportation Science & Engineering)
摘 要:长江沿线综合交通网络是复杂的交通系统,有许多研究专注于对该网络路径的优化,也有很多专注于此路网的鲁棒性分析.在综合考虑这两方面之后提出了一种在优化时就对该路径进行鲁棒性分析的方法,其优点在于能在优化之初就考虑路径通行的稳定性并将其作为优化路径最终选择的条件之一.此方法较一般的优化结果更为可靠;较一般的鲁棒性分析来说只考虑了优化后单一路径的抗毁性而不将整体网络稳定性考虑在内;且所得结论考虑了碳排放、运输成本与线路距离三个方面对于实际运用更有指导性.根据遗传算法优化出两种线路方案,并由鲁棒性检验得出最佳方案.Based on the path optimization of the comprehensive traffic network along the Yangtze River and the robustness analysis of the network,this paper proposed a robust analysis method for the path during optimization.This method can consider the stability of route traffic at the beginning of optimization and take it as one of the conditions for the final selection of optimal route,which is more reliable than the general optimization results.The general robustness analysis only considered the invulnerability of the optimized single path without considering the stability of the whole network.However,the three factors of carbon emission,transportation cost and route distance were comprehensively considered in this paper,which is more instructive for practical application.Finally,two route schemes were optimized according to genetic algorithm and the best scheme was obtained by robustness test.
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