Abstract
As a sustainable transportation mode, high-speed railway (HSR) has become an efficient way to meet the huge travel demand. However, due to the high acquisition and maintenance cost, it is impossible to build enough infrastructure and purchase enough train-sets. Great efforts are required to improve the transport capability of HSR. The utilization efficiency of train-sets (carrying tools of HSR) is one of the most important factors of the transport capacity of HSR. In order to enhance the utilization efficiency of the train-sets, this paper proposed a train-set circulation optimization model to minimize the total connection time. An innovative two-stage approach which contains segments generation and segments combination was designed to solve this model. In order to verify the feasibility of the proposed approach, an experiment was carried out in the Beijing-Tianjin passenger dedicated line, to fulfill a 174 trips train diagram. The model results showed that compared with the traditional Ant Colony Algorithm (ACA), the utilization efficiency of train-sets can be increased from 43.4% (ACA) to 46.9% (Two-Stage), and 1 train-set can be saved up to fulfill the same transportation tasks. The approach proposed in the study is faster and more stable than the traditional ones, by using which, the HSR staff can draw up the train-sets circulation plan more quickly and the utilization efficiency of the HSR system is also improved.
Highlights
During the past few years, China has been in a period when high-speed railway (HSR) developed rapidly, with the operation mileage increasing from 404 kilometers in 2008 to over 19 thousand kilometers at the end of 2015
A two-stage approach is designed to solve the problem, and an optimal train-set utilization plan is obtained as the output
The train-set utilization plan is drawn up to identify the work arrangements of train-sets, which is profoundly affected by the given train graph as well as the rules and regulations of maintenance
Summary
During the past few years, China has been in a period when high-speed railway (HSR) developed rapidly, with the operation mileage increasing from 404 kilometers in 2008 to over 19 thousand kilometers at the end of 2015. Maroti and Kroon [9] proposed an integer programming model with the consideration of maintenance constraint He designed a heuristic algorithm to solve the model and obtained a feasible solution. Hong et al [17] put forward an integer programming model considering the maintenance and train graph constraints, and a heuristic approach was applied to solve this problem. Based on TSP, Zhang [18] built a train-set utilization model in a railway network by taking both the running time constraint and running distances constraint into consideration, and an ant colony algorithm was used to solve the model; Zhou [19] proposed an integer programming model to obtain the train-set utilization plan, considering the constraint of Level 1 maintenance standard, and an improved ant colony algorithm was designed to solve the model. To realize the objective that the train-set utilization plan can be generated by computers automatically and used in practice,
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