详情

原文传递 An Optimization Strategy for Improving the Economic Performance of Heavy-Haul Railway Networks

题名：	An Optimization Strategy for Improving the Economic Performance of Heavy-Haul Railway Networks
正文语种：	英文
作者：	Beijing Jiaotong Univ
作者单位：	Xi Xiang;Xiaomin Zhu
关键词：	Optimization strategy; Heavy haul railway; Multi-objective optimization; Ant colony optimization; Traversal search algorithm
摘要：	Optimization of wagon flow organization in heavy-haul loading areas is meaningful to develop a heavy-haul railway network and to improve transportation capacity. This paper proposes a multiobjective optimization of the wagon flow organization for heavy-haul railway (MWFHR) to improve the transportation efficiency and the economic performance of a railway network. A bi-level algorithm is constructed to solve this model, where the lower level of the algorithm collects wagon flows for organization through the ant colony optimization algorithm, and the upper level screens for the best solution set that can minimize total cost under various constraints using the traversal search algorithm. The model is numerically examined in a real case study. Comprehensive practical testing results show that the newly proposed multiobjective optimization approach is promising in establishing an efficient railway network.
出版年：	2016
期刊名称：	Journal of Transportation Engineering
卷：	Vol.142
期：	No.3
页码：	04016003