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With the yearly increase of mileage and passenger volume in China’s high-speed railway, the problems of traditional paper railway tickets have become increasingly prominent, including complexity of business handling process, low efficiency of ticket inspection and high cost of usage and management. This paper aims to make extensive references to successful experiences of electronic ticket applications both domestically and internationally. The research on key technologies and system implementation of railway electronic ticket with Chinese characteristics has been carried out.
Research in key technologies is conducted including synchronization technique in distributed heterogeneous database system, the grid-oriented passenger service record (PSR) data storage model, efficient access to massive PSR data under high concurrency condition, the linkage between face recognition service platforms and various terminals in large scenarios, and two-factor authentication of the e-ticket identification code based on the key and the user identity information. Focusing on the key technologies and architecture the of existing ticketing system, multiple service resources are expanded and developed such as electronic ticket clusters, PSR clusters, face recognition clusters and electronic ticket identification code clusters.
The proportion of paper ticket printed has dropped to 20%, saving more than 2 billion tickets annually since the launch of the application of E-ticketing nationwide. The average time for passengers to pass through the automatic ticket gates has decreased from 3 seconds to 1.3 seconds, significantly improving the efficiency of passenger transport organization. Meanwhile, problems of paper ticket counterfeiting, reselling and loss have been generally eliminated.
E-ticketing has laid a technical foundation for the further development of railway passenger transport services in the direction of digitalization and intelligence.
Dai, L., Yan, Z., & Jing, H. (2020). Highly concurrent face recognition technology with insightface and faiss. Railway Computer Application, 29(10), 16–20 (in Chinese).
Fang, Y. (2020). Practices and inspirations from German railway passenger whole process travel service. Railway Transport and Economy, 42(10), 115–121 (in Chinese).
Jia, Y., Yan, W., & Zhang, L. (2011). New data transfer method in civil aviation transaction system. Journal of Civil Aviation University of China, 29(3), 42–46, 51 (in Chinese).
Jia, C., Dai, L., Xu, H., & Su, J. (2018). Railway passenger real-name registration identity verification system based on face recognition technology. Railway Computer Application, 27(7), 49–53, 63 (in Chinese).
Jing, H., Yan, Z., Dai, L., & Li, B. (2019). Face recognition algorithm based on faster R-CNN. Railway Computer Application, 28(10), 8–11 (in Chinese).
Li, S. (2020). A study on selection and application of railway electronic ticket formats. Railway Transport and Economy, 42(11), 92–96, 103 (in Chinese).
Li, Y., Tian, F., & Ni, Z. (2016). Designing server architecture for complicated and high concurrency civil aviation businesses. Computer Applications and Software, 33(5), 4–7, 39 (in Chinese).
Li, Y., Yan, Z., Zhu, J., & Dai, L. (2017). Predicament and solution for relational database of railway ticketing and reservation system. Railway Computer Application, 26(12), 22–25 (in Chinese).
Li, B., Zhu, J., Yan, Z., Dai, L., & Hou, Y. (2021). Construction of face retrieval platform on railway ticket system and its key technologies. Railway Transport and Economy, 43(5), 58–63, 91 (in Chinese).
Liang, H., Huang, K., & Du, J. (2017). The design and applied research of China aviation new passenger order transformation. Electronic Test, 21, 70–72 (in Chinese).
Liu, C. (2001). NDesign of MOR ticketing center and use of key technologies. China Railway Science, 22(2), 15–22 (in Chinese).
Ma, T. (2005). Development of E-ticketing in China. Civil Aviation Economics & Technology, 9, 32–34 (in Chinese).
Mei, Q., Yang, L., Fan, C., & Feng, Y. (2018). Optimization of favorite contacts cluster architecture based on Redis technology. Railway Computer Application, 27(10), 35–39 (in Chinese).
Peng, M., Yang, J., & Hu, G. (2017). Civil aviation public information service cloud platform based on cloud computing. Computer Technology and Development, 27(2), 139–142 (in Chinese).
Qiu, P., Wan, H., Lin, Y., Liu, Y., & Yao, Y. (2017). Developing cache strategies for online ticketing systems by analyzing user behaviors. Computer and Modernization, 5, 92–98 (in Chinese).
Sui, Y., Yan, Z., Dai, L., & Jing, H. (2021). Face multi-attribute detection algorithm based on RetinaFace. Railway Computer Application, 30(3), 1–4 (in Chinese).
Tian, F., Ni, Z., Ding, J., & Wang, J. (2016). Dynamic load balance design for high concurrency civil aviation business. Computer Applications and Software, 33(10), 1–5 (in Chinese).
Wang, J., & Liu, C. (2001). Railway ticket selling and booking system. China Railway Science, 22(3), 137–139 (in Chinese).
Yang, L., Wang, F., Mei, Q., & Zhu, J. (2015). Mass request processing in railway Internet ticketing. Railway Computer Application, 24(7), 25–27 (in Chinese).
Yao, Y., Zhou, Z., Li, Y., & Yang, C. (2017). The design of dynamic caching system for airline flight inquiry. Electronic Test, 7, 18–21 (in Chinese).
Yi, S., Zhu, J., & Jing, H. (2020). Face recognition technology applies in railway scene based on MTCNN face occlusion technology research. Computer Simulation, 37(5), 96–99 (in Chinese).
Zhang, J., & Li, G. (2018). Application of railway self check-in system. China Railway, 1, 60–64 (in Chinese).
Zhou, L., & Wang, F. (2018). A study on the load balancing of data from the railway ticketing system. Railway Transport and Economy, 40(5), 46–50 (in Chinese).
Zhou, G., Jia, Y., & Huang, K. (2005). China BSP electronic ticketing. Computer Engineering, 31(Supplement 1), 74–75, 78 (in Chinese).
Zhu, J. (2012). Research on general project of new generation ticketing system. Railway Computer Application, 21(6), 1–6 (in Chinese).
Zhu, J., Wang, J., & Zhang, J. (2014). Research and application of large data query technology based on NoSQL database. China Railway Science, 35(1), 135–141 (in Chinese).
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