An HSR corridor with m stations and n trains.

<div><p>High-speed railway timetables are typically based on origin-destination (OD) passenger demand, establishing departure times and intervals for trains. Utilizing this data, operators systematically develop daily train timetables that are consistent across a defined operational cycl...

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Bibliographic Details
Main Author:	Zhipeng Huang (1759759) (author)
Other Authors:	Limin Yang (391341) (author), Jinlian Li (343111) (author), Tao Zhang (43681) (author), Zixian Qu (21568078) (author), Yusen Miao (21568081) (author)
Published:	2025
Subjects:	Sociology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified xi &# 8217 speed railway timetables speed railway scheduling speed railway corridor speed rail operators speed rail corridor others remain difficult low occupancy rates genetic algorithm combined defined operational cycle various network arcs three key attributes resulting timetable balances xlink "> high level programming model establishing departure times analyzing passenger preferences uniform departure intervals passengers </ p departure times train timetable state three passenger demand integrates preferences dimensional network departure time wolfe method typically based travel demand seat preference seat classes scientific rigor nested frank impedance functions fare structures fare cost diverse demands consistent across case study approach enhances
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An HSR corridor with m stations and n trains.

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