Abstract
Network line planning optimal considering extra-long distance transportation can adapt to high-speed railway (HSR) network operation environment and meet the demand of extra-long distance travel. First, the distance of 1500 km or more is defined as extra-long transportation distance based on market competitiveness. The difficulties of direct or transfer transportation for extra-long distance transportation are analyzed. Direct method of extra-long distance is determined according to direct passenger volume and the number of important nodes while transfer method is represented considering transfer times, organization forms, varieties of schemes, and comfort. Then, ideas of optimizing line plan based on riding scheme is put forward. Network optimizing line plan model with riding scheme is developed considering extra-long distance transportation. The model which minimizes traveling cost and train running expense optimizes train frequency and train stop plan with riding scheme. Last, the method and optimizing model is verified by the network which took Baoji–Lanzhou HSR as the core. The optimal result is a benefit to improve operation efficiency and market competitiveness of HSR.
Highlights
China’s high-speed railway (HSR) network is developing rapidly, with the characteristics of constantly changing network structure, providing faster and high-frequency passenger transportation, and ensuring faster transfer services
It is necessary to add the transfer scheme which is composed of multiple trains into the optimization mode. e model is more di cult to describe the relationship between train and passenger volume and the relationship between train stop and passenger volume for the initial solution
The through passenger volume and the number of important nodes in the train running path should be taken into account when extra-long distance passengers are transported by through trains
Summary
China’s HSR network is developing rapidly, with the characteristics of constantly changing network structure, providing faster and high-frequency passenger transportation, and ensuring faster transfer services. Journal of Advanced Transportation applied multi objective optimization to generate non- dominated or Pareto optimal alternatives He proposed a solution algorithm for the multi objective bi-level models using genetic algorithms for line planning. E adaptability of the line planning method to the transportation demand of extra-long distance is still poor, and there are some shortcomings such as less consideration of transfer and low efficiency. Focusing on the transportation demand of extra-long distance of HSR, we put forward an optimization model of networked line plan based on the riding scheme which can obtain according to the determining methods of direct or transfer transportation.
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