01630613

Component

Urban rail transit transfer station is a key facility for gathering and switching passenger flows. High passenger demand coupled with non-recurrent events (e.g. train delay) may cause extreme passenger flow and density within the station, resulting in high risks of disastrous consequences (e.g. stampede). This paper proposes multiline coordinated train skip-stop plans to prevent extreme passenger flow and densities at transfer stations. A nonlinear binary programming model is developed and solved by the genetic algorithm (GA) to best plan the multiline skip-stop strategy. Case studies using real passenger demand and train data are performed to verify the model and the algorithm. Results indicate that application of the proposed skip-stop plan can significantly reduce the total passenger waiting time at transfer stations, therefore lower the risk of disastrous consequences.

This paper was sponsored by TRB committee AP045 Standing Committee on Intermodal Transfer Facilities. Alternate title: Optimal Skip-Stop Planning at Urban Rail Transit Transfer Stations for Nonrecurrent Extreme Passenger Flow Mitigation

01618707

17-02679

English

19p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Case studies; Crowds; Genetic algorithms; Mathematical models; Passengers; Programming (Mathematics); Rail transit stations; Waiting time

Planning and Forecasting; Railroads

Transportation Research Board Annual Meeting 2017 Paper #17-02679

TRIS, TRB, ATRI

Dec 8 2016 11:01AM