A probabilistic model for rail transit passenger flow distribution using AFC data

• Published in: 2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) pp. 718 - 724
• Main Authors: He, Tiejun, Long, Haidan, Yan, Zhongshu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2022
• Subjects: AFC Data; Automation; Bayesian Theory; Data models; Legged locomotion; Mechatronics; Passenger Flow Assignment; Probabilistic logic; Rails; Schedules; Urban Rail Transit

It is of great significance to accurately analyze the change law of rail transit passenger flow and master the distribution status of internal passenger flow for improving the operation efficiency and service level of rail transit. The AFC (automatic fare collection) system of urban rail transit rec...