Evaluation of High-Speed Railway Maintenance Plan Factors Based on Triangular Fuzzy Number

In order to improve the maintenance abilities of high speed railway and reduce train delays, an evaluation system is proposed based on actual maintenance plan data. Evaluation of the railway maintenance plan is supposed to identify any weak links and contribute to the safety of the operational environment. In this system, four key maintenance plan factors are identified:power supply, control system equipment, station infrastructure, and signal and communication equipment. The triangular fuzzy number and a fuzzy evaluation method are introduced to build an importance scale matrix for estimating the importance of these four factors in maintenance plans. Delays caused by equipment and infrastructure failures are extracted and combined based on real delayed train data. These factors are also proved to be independent. Factors causing delays and the number of delayed trains are used to quantitatively measure the effects of maintenance plan factors. Finally, maintenance plan data and delayed train data from the China Railway Company are used to verify the feasibility of the method. Results show that implementing a daily HSR maintenance plan has a positive effect on decreasing train delays. The amount of attention focused on the maintenance factors is inversely proportional to the delay situation. Maintenance of control equipment and power supply equipment is weak, which is the primary cause of train delays.