High-speed rail cost recovery time based on an integer optimization model

A fuzzy optimization model based on improved symmetric tolerance approach is introduced, which allows for rescheduling high-speed railway timetable under unexpected interferences. The model nests different parameters of the soft constraints with uncertainty margin to describe their importance to the optimization purpose and treats the objective in the same manner. Thus a new optimal instrument is expected to achieve a new timetable subject to little slack of constraints. The section between Nanjing and Shanghai, which is the busiest, of Beijing-Shanghai high-speed rail line in China is used as the simulated measurement. The fuzzy optimization model provides an accurate approximation on train running time and headway time, and hence the results suggest that the number of seriously impacted trains and total delay time can be reduced significantly subject to little cost and risk.

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Design of Optimization Model and Program to Generate Timetables for a Single Two-Way High Speed Rail Line under Disturbances

Computing in Civil Engineering (2011) ◽

10.1061/41182(416)33 ◽

2011 ◽

Author(s):

T. W. Ho ◽

C. Y. Lin ◽

S. M. Tseng ◽

C. C. Chou

Keyword(s):

Optimization Model ◽

High Speed ◽

High Speed Rail ◽

Rail Line

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An optimization model of energy and transportation systems: Assessing the high-speed rail impacts in the United States

Transportation Research Part C Emerging Technologies ◽

10.1016/j.trc.2015.03.007 ◽

2015 ◽

Vol 54 ◽

pp. 131-156 ◽

Cited By ~ 17

Author(s):

Venkat Krishnan ◽

Eirini Kastrouni ◽

V. Dimitra Pyrialakou ◽

Konstantina Gkritza ◽

James D. McCalley

Keyword(s):

United States ◽

Optimization Model ◽

High Speed ◽

The United States ◽

Transportation Systems ◽

High Speed Rail

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Optimization Model of Passenger Train Service Plan Based on the Degree of Passenger Satisfaction

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.505-506.577 ◽

2014 ◽

Vol 505-506 ◽

pp. 577-582 ◽

Cited By ~ 2

Author(s):

Pei Liu ◽

Bao Ming Han ◽

Qi Zhang

Keyword(s):

Optimization Model ◽

High Speed ◽

Transportation Costs ◽

High Speed Rail ◽

Passenger Train ◽

Railway Line ◽

Passenger Transportation ◽

Passenger Satisfaction ◽

Service Plan ◽

Transportation Organization

The passenger train service plan which is the basis of passenger transportation organization shows how to organize passenger flow into train flow. The degree of passenger satisfaction reflects the difference between perceived service and expected service. Due to the deficiency of transportation supply, a minority of passengers have to take their "originally reluctant" trains instead of "preferred" trains. This paper firstly analyses extra passenger transportation costs in high-speed rail line. Secondly, a multiobjective optimization model of passenger train service plan based on the degree of passenger satisfaction is proposed, in which minimizing the total passenger train stop times and minimizing the extra passenger transportation costs are the two planning objectives. Finally, a case study on the Beijing-Tianjin intercity railway line shows that the model can be solved by the genetic algorithm and can achieve satisfactory results.

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