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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Principais autores:	Yuki Maekawa, Eric Tang Kui Shen, Yuuki Hashimoto, Satoru Hori
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
Colecção:	IEEE Access
Assuntos:	Mixed integer linear programming multi-objective optimization railway scheduling timetable planning
Acesso em linha:	https://ieeexplore.ieee.org/document/11146756/
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