Reliability Evaluation Model Construction and Classification of HD High-speed Railway Station Service System Based on Big Data Platform

After the reform and opening up, my country has continuously improved the transformation and construction of urban traffic and transportation systems, and achieved expected results. However, looking at the entire urban transportation system, my country's urban transportation and transportation systems are still lacking foresight in the preliminary design and planning. The lack of innovation in the mid-term operation and maintenance and the lack of timeliness in the later feedback and adjustments. This article focuses on the status quo of the HD high-speed rail station service system, using big data to measure the number of passengers arriving in a unit time, the ticket window service system, the automatic ticket collection service system, the security inspection service system, and the number of equipment and facilities of the ticket service system, the effective queuing area and the Perform statistical investigations on service capabilities, establish an evaluation model for the reliability of the HD high-speed rail station service system, and obtain a new reliability level by calculating the crowd density of each service subsystem. For subsequent analysis of the problems of the system, the station service system can be analyzed. Optimization provides theoretical basis.