| Issue |
E3S Web Conf.
Volume 372, 2023
2023 4th International Conference on Urban Engineering and Management Science (ICUEMS2023)
|
|
|---|---|---|
| Article Number | 02016 | |
| Number of page(s) | 4 | |
| Section | Urban Traffic Management and Logistics Service | |
| DOI | https://doi.org/10.1051/e3sconf/202337202016 | |
| Published online | 06 March 2023 | |
Research on Dynamic Evaluation of Metro Passenger Credit
1
Chuzhou chuning intercity railway development and Construction Co., Ltd, Chuzhou, Anhui, China.
2
Intelligent Transportation System Research Center, Southeast University, Nanjing, Jiangsu, China.
* E-mail: 331061643@qq.com
a E-mail: 1187322201@qq.com
b E-mail: casualonion@foxmail.com
With the expansion of metro network, the large passenger flow in peak hours has brought great challenges to metro operation. While upgrading the security inspection, the traffic efficiency of passengers in metro stations has also been affected. Considering public security and security inspection efficiency, using the method of passenger credit rating to establish a differentiated security inspection mode has become the development direction of intelligent security inspection in the future. It is necessary to study the passenger credit evaluation system due to a lack of research on metro passenger credit scoring. However, previous research focused on static credit evaluation rather than dynamic credit evaluation. This paper introduces motivation factor, time weight and night safety reduction coefficient to conduct dynamic passenger credit evaluation.
© The Authors, published by EDP Sciences, 2023
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