Journal
TRANSPORTMETRICA A-TRANSPORT SCIENCE
Volume 16, Issue 3, Pages 1217-1249Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/23249935.2020.1720038
Keywords
Robust; timetabling; marshaling; skip-stop operation; urban rail transit
Funding
- Humanity and Social Science Youth Foundation of Ministry of Education of China [19YJCZH002]
- National Natural Science Foundation of China [71971019]
- National Key Research and Development Plan [2018YFB1201402]
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Urban rail transit (URT) demand often exhibits tidal or centripetal shapes during peak/off-peak hours. Inefficiency occurs when the supply of service is not adjusted to the fluctuating demand. This optimization can be realized by redesigning the URT timetables and/or through operational strategies. Certainly, implementation of the optimal/best-adjusted timetables must be feasible in order to accommodate efficient operations planning. This work develops a new methodology to derive an optimal timetabling design procedure for multiphase demands on a bi-directional URT line. It consists of three operational policies: marshaling, skip-stop operation, and robustness. The order of service is determined by the departure times. Following these considerations, this work develops a hybrid model formulated as a mixed-integer programming framework. The case study demonstrates the ability of the modeling framework to assess integrated effects, guarantee its robustness and to bring about 13% saving of the total cost associated with passengers, operations and reliability.
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