In the urban rail transit transfer station, multi-source detection data from AFC systems, train weighing systems, and intelligent video devices can be applied to estimate the more detailed distribution of passenger flow within the station. This paper first proposes a model for estimating passenger flow in different directions within the station based on the relationships between passenger flows. Further, this paper abstracts the model into a multi-layer hierarchical flow network and introduces the forward-passing and backward-propagation techniques to solve the proposed model. Finally, taking a typical transfer station as an example, the passenger flow in different directions within this station was estimated, and transfer passenger flow was further extracted.
Passenger Flow Estimation in Urban Rail Transit Transfer Station Based on Multi-Source Detection Data
Lect. Notes Electrical Eng.
International Conference on Information Control, Electrical Engineering and Rail Transit ; 2022 ; Changsha, China November 25, 2022 - November 27, 2022
Proceedings of the International Conference on Information Control, Electrical Engineering and Rail Transit ; Kapitel : 24 ; 279-289
2023-11-22
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Urban rail transit transfer station , Passenger flow estimation , Multi-source detection data , Forward-passing , Backward-propagation Engineering , Control, Robotics, Mechatronics , Computer Imaging, Vision, Pattern Recognition and Graphics , Signal, Image and Speech Processing , Energy Systems , Communications Engineering, Networks
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