01595782

Component

A flexible train scheduling strategy should be employed to adapt to dynamic passenger demand, especially unbalanced passenger demand, and offer better service in urban railway corridors. A train scheduling model that minimizes total passenger travel time with stop pattern decision under dynamic passenger demand is proposed in this paper. The model minimizes total passenger travel time by adjusting the departure times, running times, stopping times, headways, and stop patterns of all trains at each station in an urban railway corridor. A genetic algorithm and a method that calculates the total passenger travel time are developed to solve the model. The proposed model is applied to a case of an urban railway corridor. Results show that the proposed model with stop pattern decision can better adapt to dynamic passenger demand with less total passenger travel time than the timetable of all-stop patterns. This study concludes that more number of skip-stops are required under an unbalanced passenger demand.

This paper was sponsored by TRB committee AP065 Standing Committee on Rail Transit Systems.

01584066

16-1316

English

18p

2016

Transportation Research Board 95th Annual Meeting

Web

Figures; References (22) ; Tables

Departure time; Passenger trains; Scheduling; Stopped time delays; Travel demand; Travel time; Urban areas

Operations and Traffic Management; Passenger Transportation; Railroads

Transportation Research Board Annual Meeting 2016 Paper #16-1316

TRIS, TRB, ATRI

Jan 12 2016 4:35PM