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原文传递 Optimized Restoration Schedule for Disrupted Railroad Network

题名：	Optimized Restoration Schedule for Disrupted Railroad Network
正文语种：	eng
作者：	Wu, Fei;Schonfeld, Paul M.;Kim, Myungseob
作者单位：	Univ Maryland Dept Civil & Environm Engn College Pk MD 20742 USA;Univ Maryland Dept Civil & Environm Engn College Pk MD 20742 USA;Western New England Univ Dept Civil & Environm Engn 1215 Wilbraham Rd Springfield MA 01119 USA
关键词：	Railroad resilience;Transportation network disruption;Transportation network recovery;Network restoration;Railroad network development
摘要：	A method is proposed for optimizing the restoration sequence of damaged components in a disrupted rail freight network. Given the network's demand matrix and capacity settings, a mixed-integer linear program (MILP) model is developed for assigning capacitated freight flows and minimizing total hourly costs. The cumulative cost increment (excess) is computed for each examined restoration sequence in a disruption scenario, using the duration of each restoration step and minimized hourly costs in intermediate network states from the MILP. A simple genetic algorithm (GA) is applied for finding the restoration sequence that minimizes the excess after a disruption event. A numerical case with a small network and a disruption scenario is synthesized to demonstrate this method. The optimized restoration sequence and schedule found by the GA are proved globally optimal in this case by exhaustive enumeration. The GA's effectiveness is further verified with three additional disruption scenarios. A sensitivity analysis shows that the minimized excess is more sensitive to capacities of damaged components when capacity levels of components or upper limits of travel time are lower. The minimized excess is highly sensitive to the demand level when freight flows are moderately undersaturated. It is also found that restorations of damaged nodes should have higher priorities at lower capacities of damaged nodes, higher capacities of damaged links, and higher unit costs of alternate shipments by trucks.
出版年：	2021
期刊名称：	Journal of Transportation Engineering
卷：	147
期：	9