Skip-stop operation is a low-cost approach to improving urban rail transit operation speed and passengers’ travel experience in single track lines. This paper proposes a novel bi-objective model to optimize the skip-stop scheme for bi-directional urban rail lines so that passenger’s waiting time and in-vehicle travel time can be properly leveraged. Different from the conventional “A/B” scheme, the proposed flexible skip-stop scheme (FSSS) can provide flexible stops to accommodate spatially varied passenger demand and better utilize the line capacity. The train headway is constrained by three kinds of departure intervals: the minimum safety interval, minimum departure interval that meets the passenger demand, and the minimum turnaround interval at the terminal stations. A tabu search procedure is then developed to efficiently search for the optimal solution. A case study is conducted based on a real-world bi-directional urban rail line in Shenzhen, China, using the ridership information extracted from smartcard data. Compared to the all-stop strategy, it is found that the proposed skip-stop strategy yields a better performance. The results show that around 22.6%-58% of passengers benefit from the FSSS operation with shorter significant in-vehicle travel time, while the passenger waiting time only increases slightly. The operational time per train is reduced by 5%. Transit agencies may also benefit from this scheme due to the savings of energy and operational costs.
Timetable Optimization of Urban Rail Transit: A Flexible Skip-Stop Scheme
17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China
CICTP 2017 ; 1822-1833
18.01.2018
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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