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- W226996865 abstract "Freight transportation by railroads is an integral part of the U.S. economy. Identifying critical rail infrastructures can help stakeholders prioritize protection initiatives or add necessary redundancy to maximize system resiliency. The criticality of an infrastructure element, link or yard, is based on the increased cost (delay) incurred when that element is disrupted. An event of disruption can cause heavy congestion and the capacity at links and yards should be considered when the fright flow is re-routed. This paper proposes an optimization model for making-up and routing of trains in a disruptive situation to minimize the system-wide total cost, including classification time at yards and travel cost time along the links. Train design optimization seeks to determine the optimal number of trains, their routes, and associated blocks, subject to various capacity and operational constraints at rail links and yards. An iterative heuristic algorithm is proposed to attack the computational burden for real-world networks. The solution algorithm considers the impact of volume on travel time in a congested or near-congested network. The proposed heuristics provide a quality solution with high speed, demonstrated by numerical experiments for small instances. A case study is conducted for the network of a major U.S. Class-1 railroad company based on publicly available data. The paper provides a map showing the criticality of infrastructure in the study area. The heuristic algorithm can also help in managing freight flow in response to a disruptive event." @default.
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- W226996865 date "2013-01-01" @default.
- W226996865 modified "2023-09-27" @default.
- W226996865 title "Determination of Criticality of Freight Railroad Infrastructure Based on Flow Optimization under Heavy Congestion" @default.
- W226996865 hasPublicationYear "2013" @default.
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