Optimized Restoration Sequence for Disrupted Freight Rail Network

A preliminary 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 cost. 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 of a small network and a disruption scenario are synthesized to demonstrate this method. The optimized restoration sequence and schedule found by the GA is proved globally optimal by exhaustive enumeration. The GA’s effectiveness is further verified with 3 additional disruption scenarios. 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. 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 cost of alternate shipment by trucks.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 19p

Subject/Index Terms

Filing Info

  • Accession Number: 01763492
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-03438
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:02AM