Optimizing Tailored Bus Bridging Paths

Optimizing Tailored Bus Bridging Paths

Gu, Wei (Tongji University)
Yu, Jie (University of Wisconsin-Milwaukee)
Ji, Yuxiong (Tongji University)
van der Gun, J.P.T. (TU Delft Transport and Planning)
Pel, A.J. (TU Delft Transport and Planning)
Zhang, H. Michael (University of California; Tongji University)
van Arem, B. (TU Delft Transport and Planning)

2017-11-13

Metro disruptions due to unexpected events reduce transit system reliability, resulting in significant productivity loss and long passenger delays. Bus bridging strategy is often used to connect stations affected by metro disruptions such that passengers could continue their journey. The literature usually designed bridging routes and then allocated buses to designed routes with specific frequencies. The restriction that each bus can only operate on a route greatly limits the service flexibility and decreases operation efficiency. We propose a flexible bus bridging strategy to deal with the disruptions of metro networks. The proposed strategy optimizes a tailored bridging path for each bus. The path dictates the stations that a bus should visit in sequence once it is dispatched from the depot. A two-stage model that balances the needs of transit agency and passengers is developed to optimize the tailored bridging paths based on affected metro stations, reserved buses, bus capacity, passenger demands and bus travel times. The Stage I model produces schematic bridging paths by minimizing the maximum bus bridging time. The Stage II model further details the paths by minimizing average passenger delay. The superiority of the proposed strategy to a traditional strategy is demonstrated in a case study in Rotterdam, The Netherlands.

Bus bridging
Metro network disruptions
Tailored bridging paths
Two-stage model
Integer linear programming

http://resolver.tudelft.nl/uuid:cdd9f9ef-3bd1-4f4b-8d89-a51c0b3724b0

2019-03-01

TRB Annual Meeting Online, 2018

TRB 2018: 97th Annual Meeting of the Transportation Research Board, 2018-01-07 → 2018-01-11, Walter E. Washington Convention Center, Washington D.C., United States

Institutional Repository

conference paper

© 2017 Wei Gu, Jie Yu, Yuxiong Ji, J.P.T. van der Gun, A.J. Pel, H. Michael Zhang, B. van Arem