With the large-scale construction of China's high-speed railway network, the demand for passenger flow is growing and varies in different seasons. Therefore, refinement operational requirements are increasingly prominent. However, the passenger flow itself has time-varying characteristics, and the division of passenger flow seasons and periods is divided by manual methods and experience subjectively. As a result, it is difficult to adjust it dynamically with the passenger flow changing dynamically. There are few studies on the seasons and periods of the division about high-speed railway passenger flow at home and abroad. In this study, the seasonal and period division methods of high-speed railway passenger flow were studied, the dynamic characteristics of passenger flow were analyzed, and the annual passenger flow fluctuation was considered. Then, the high-speed railway passenger flow was divided into seasons by using the firefly affinity propagation algorithm. Meanwhile, the high-speed railway passenger flow was divided into periods by employing the orderly clustering algorithm with the consideration of the daily passenger flow fluctuation.
Seasonal and Period Division Method for Dynamic Passenger Flow of High-Speed Railway
Smart Innovation, Systems and Technologies
Advances in Smart Vehicular Technology, Transportation, Communication and Applications ; Kapitel : 3 ; 27-41
2023-05-15
15 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Railway passenger cars for high-speed service
Engineering Index Backfile | 1939
|Research on Seasonal Index Based on Dynamic Clustering of the Daily Railway Passenger Flow Title
Trans Tech Publications | 2014
|RAILWAY PASSENGER CARS FOR HIGH SPEED SERVICE
SAE Technical Papers | 1939
|High speed electric passenger locomotive, north eastern railway
Engineering Index Backfile | 1922