01595074

Component

Finding an efficient way to design appropriate stopping patterns is a challenge for the Taiwan High Speed Rail (THSR). The majority of previous studies on stop planning adopted meta-heuristics or decomposition methods to tackle this complex problem. Although these solution techniques do improve the solution efficiency, none of them could guarantee the optimality of the solution. Thus, in this study, the authors proposed a novel optimization framework with an innovative network structure to address the complex stop planning problems in HSR systems. Given its special network structure and techniques, the binary integer programming (BIP) model can simultaneously form and determine the optimal stopping patterns according to passenger demand. Using this stop planning model will help high speed rail systems design optimal stopping patterns corresponding to passenger demand.

This paper was sponsored by TRB committee AR010 Standing Committee on Intercity Passenger Rail.

01584066

16-2193

English

10p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Figures; References; Tables

High speed rail; Location; Mixed integer programming; Network analysis (Planning); Optimization; Railroad stations; Travel demand

Taiwan

Data and Information Technology; Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Railroads

Transportation Research Board Annual Meeting 2016 Paper #16-2193

TRIS, TRB, ATRI

Jan 12 2016 4:58PM