01660427

Component

Transportation congestion is worse in metropolitan areas where the population is concentrated and urban sprawl is taking place. It is necessary to improve mobility and relieve congestion, and the purpose of this study is to develop a design model of an express rail line to improve the existing urban rail transit network. The model has a bi-level structure in which the upper level of the model is formulated to determine the line configuration and capacity to maximize the net benefit of the entire rail network, whereas the lower level of the model is formulated as the transit equilibrium assignment to grasp the effect of in-vehicle congestion on the absolute travel time. The inconvenience of passengers due to in-vehicle congestion is converted into time units as a monotonically increasing function. The cost of congestion and the actual total travel time are considered together to improve the mobility and reduce the congestion of the urban rail network. A genetic algorithm is employed to solve the combinatorial optimization problem in a reasonable time. The results show that the developed model can find the optimal express rail line by reflecting the relation of the trade-off between accessibility and mobility of system. The model and algorithm developed in this study contribute to the establishment of the long-term plan of public transportation networks in metropolitan areas.

This paper was sponsored by TRB committee ADA20 Standing Committee on Metropolitan Policy, Planning, and Processes.

18-04271

English

4p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Maps; References; Tables

Express service; Mobility; Planning and design; Rail transit; Traffic congestion

Design; Planning and Forecasting; Public Transportation; Railroads

Transportation Research Board Annual Meeting 2018 Paper #18-04271

TRIS, TRB, ATRI

Jan 8 2018 11:03AM