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

Author(s):  
T. W. Ho ◽  
C. Y. Lin ◽  
S. M. Tseng ◽  
C. C. Chou
2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Li Wang ◽  
Yong Qin ◽  
Jie Xu ◽  
Limin Jia

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.


Author(s):  
Jack E. Heiss

While planners and politicians alike go about kicking the tires of various trains, and traveling abroad on fact-finding missions about HSR, the question remains whether Americans will patronize high-speed rail in sufficient number to justify the investment. A common practice is to identify an existing or abandoned rail line as the candidate route that connects population centers, identify the former stations for rehabilitation, select a technology, and then perform an investment-grade ridership study to determine whether sufficient revenues will be generated. This approach may prove sufficient in the upgrading of an existing conventional service, or re-establishing a previous service in those areas of the country with a long history of passenger rail. When approaching newer developed areas such as the Sunbelt cities, the inter-relationship of development patterns and fixed-guideway passenger services is not established. Those development patterns were influenced by the automobile, not by guideway-based transportation. A different approach is needed when history is not a guide. While the selection of the population centers to be served at the outset is appropriate and makes for a basic identification of the market to be served, it does not reveal the actual destinations that are interest to the travelers. The next step is to more thoroughly investigate travel between those points. That investigation should include surveys to determine trip purpose, identify the main attractors in the markets, the demographics of the travelers and how time is valued by the travelers. Finally, estimates must be made of the absolute numbers of those traveling. Additionally, examination of the current travel patterns through the patronage of existing services can provide clues to the market demand. The acquisition of this market information then allows the planners to design a transportation product that will appeal to the potential customers and make a determination of potential revenue. Even when certain parameters of a system are set because of geography or availability of infrastructure, market information can guide improvements to maximize market capture. This paper will examine those data that are important to a high-speed rail plan and how some system decisions directly affect the ability of the transportation product offered to satisfy the needs of the traveling public. “Build it and they will come” cannot be trusted to repay the massive investment required by high-speed rail.


Author(s):  
Minghui Chen ◽  
Stéphanie Souche Le Corvec

The high-speed rail line (HSR) Ligne à Grande Vitesse Sud Europe Atlantique (LGV SEA) was inaugurated and put into operation on July 2, 2017. Since then, a decrease has been observed in air traffic and in air service frequency on the Paris–Bordeaux route. This paper examines the competition between HSR and air transportation services and the influence of this new transport infrastructure on passenger behavior. Using discrete choice models along with data from traveler surveys, an econometric analysis of traveler demand is conducted, dealing jointly with mode choice and schedule choice between Paris and Bordeaux. Results demonstrate that the variables specifically constructed to represent the schedule delay cost are significant, with late arrival generating relatively greater costs compared with early arrival. This model also makes it possible to evaluate the quality of transport timetable proposed by the transportation operators with the help of market share prediction.


2014 ◽  
Vol 49 (5) ◽  
pp. 634-647 ◽  
Author(s):  
Shoupeng Tang ◽  
Stephen D. Boyles ◽  
Nan Jiang

2013 ◽  
Vol 711 ◽  
pp. 562-565
Author(s):  
Hui Hu

From operation management strategy perspective, a multi-objective time-space network optimization model of train energy consumption on a high speed rail line is proposed on the basis of train time table predetermined. The models objectives are to minimize circulation of rail stock and total energy consumption, and decision variables are number of train units in stations, while constraints include node flow conservation, passenger demand and capacity limitation. Finally, a simulation case is provided and solved for comparison and an optimization analysis is carried on via weighting method to illustrate the models feasibility and effectiveness.


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