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Reliability Optimization of a Railway Network

by 1,2,*, 3, 2 and 4
1
School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China
2
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
3
School of Foreign Languages, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China
4
Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua 321004, Zhejiang, China
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(23), 9805; https://doi.org/10.3390/su12239805
Received: 7 October 2020 / Revised: 9 November 2020 / Accepted: 14 November 2020 / Published: 24 November 2020
(This article belongs to the Section Sustainable Transportation)
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. View Full-Text
Keywords: railway network; reliability; optimization; investment limit; probability theory railway network; reliability; optimization; investment limit; probability theory
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MDPI and ACS Style

Meng, X.; Wang, Y.; Jia, L.; Li, L. Reliability Optimization of a Railway Network. Sustainability 2020, 12, 9805. https://doi.org/10.3390/su12239805

AMA Style

Meng X, Wang Y, Jia L, Li L. Reliability Optimization of a Railway Network. Sustainability. 2020; 12(23):9805. https://doi.org/10.3390/su12239805

Chicago/Turabian Style

Meng, Xuelei, Yahui Wang, Limin Jia, and Lei Li. 2020. "Reliability Optimization of a Railway Network" Sustainability 12, no. 23: 9805. https://doi.org/10.3390/su12239805

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