Timetable Synchronization Optimization for Metro Networks with Consideration of Station Centrality
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 2697-2707 |
Journal / Publication | IEEE Transactions on Network Science and Engineering |
Volume | 9 |
Issue number | 4 |
Online published | 22 Apr 2022 |
Publication status | Published - Jul 2022 |
Link(s)
Abstract
In a metro network, the majority of passengers generally need to transfer from one line to another at least once in order to reach their destinations. A well-synchronized metro network timetable can shorten the commute time and improve the transfer experience, especially during non-peak hours and near the end of daily service. A mixed-integer optimization method is proposed to reduce the transfer waiting time and increase the number of connections. Specifically, arrival and departure times at transfer stations are synchronized with priority in accordance with the stations' node centrality. A case study on the Hong Kong metro network shows that the proposed method can generate well-synchronized timetables that support a higher overall transfer passenger volume and offer commuters generally shorter waiting times.
Research Area(s)
- Complex networks, Data models, Metro network, node centrality, Optimization, Rail transportation, Resource management, Symbols, Synchronization, synchronization optimization, transfer station
Citation Format(s)
Timetable Synchronization Optimization for Metro Networks with Consideration of Station Centrality. / Wu, Xingtang; Dong, Hairong; Tse, Chi Kong et al.
In: IEEE Transactions on Network Science and Engineering, Vol. 9, No. 4, 07.2022, p. 2697-2707.
In: IEEE Transactions on Network Science and Engineering, Vol. 9, No. 4, 07.2022, p. 2697-2707.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review