An Interactive Multi-Objective Optimization for Tactical Revision of Train Timetables: A Computationally-Tractable Method for Planners

Railway timetable planners often face the challenge of aligning ideal timetables with limited vehicles and fluctuating capacity needs during their tactical planning phases. To address this, we have developed a multi-objective timetable revision approach using mixed-integer linear programming (MILP)...

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Vydané v:	IEEE access Ročník 13; s. 157220 - 157234
Hlavní autori:	Maekawa, Yuki, Shen, Eric Tang Kui, Hashimoto, Yuuki, Hori, Satoru
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Capacity planning Carriages Commuter transport Costs Integer programming Iterative methods Linear programming Mixed integer Mixed integer linear programming multi-objective optimization Multiple objective analysis Optimization Planning Processor scheduling Rail transportation railway Real-time systems Revisions Schedules Scheduling Systematics timetable planning Timetables Tradeoffs User satisfaction
ISSN:	2169-3536, 2169-3536
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