Freight train scheduling with elastic demand |
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Authors: | April Kuo Elise Miller-Hooks Hani S Mahmassani |
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Institution: | 1. Senior Operations Research Specialist, BNSF Railways, 2400 Western Center Blvd, Fort Worth, Texas 76131, United States;2. Department of Civil and Environmental Engineering, 1173 Glenn Martin Hall, University of Maryland, College Park, Maryland 20742, United States;3. Northwestern University Transportation Center, 600 Foster Street, Evanston, Il 60208-4055, United States |
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Abstract: | A train slot selection model based on multicommodity network flow concepts is developed for determining freight train timetables for scheduling rail services along multiple interconnected routes. The model seeks to minimize operating costs incurred by carriers and delays incurred by shippers while ensuring that the schedules and demand levels are mutually consistent. A column generation-based methodology is proposed for train slot selection to meet frequency requirements. This methodology is embedded in a simulation-based iterative framework, where demand for rail services is re-computed in accordance with the train schedule obtained by solving the freight train scheduling problem. |
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