Abstract
With the increase of the railway operating mileage, the railway network is becoming more and more complicated. We expect to build more railway lines to offer the possibility to offer more high quality service for the passengers, while the investment is often limited. Therefore, it is very important to decide the pairs of cities to add new railway lines under the condition of limited construction investment in order to optimize the railway line network to maximize the reliability of the railway network to deal with the railway passenger transport task under emergency conditions. In this paper, we firstly define the reliability of the railway networks based on probability theory by analyzing three minor cases. Then we construct a reliability optimization model for the railway network to solve the problem, expecting to enhance the railway network with the limited investment. The goal is to make an optimal decision when choosing where to add new railway lines to maximize the reliability of the whole railway network, taking the construction investment as the main constraint, which is turned to the building mileage limit. A computing case is presented based on the railway network of Shandong Province, China. The computing results prove the effectiveness of the model and the efficiency of the algorithm. The approach presented in this paper can provide a reference for the railway investors and builders to make an optimal decision.
Highlights
Nowadays, railway transportation needs to become more and more competitive to get a bigger share of the transportation market
The high speed railway lines between Liaocheng and Dezhou and Liaocheng and Jinan are both added in the railway network
We have modeled a railway network reliability optimization problem based on the probability theory
Summary
Railway transportation needs to become more and more competitive to get a bigger share of the transportation market. One is to optimize the railway network, such as extending railway operating mileage and improving the signaling systems to provide more service lines for the passengers. There are already many characteristics to be studied when we focus the research work on the railway network: average path length, clustering coefficient, degree distribution, and so on. These characteristics all have explicit definitions, on which we can carry out deep research. We try to define the railway network reliability based on probability theory and design an approach to optimize the railway network in the view of improving the connection reliability of it
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