Railway passenger traffic turnover is an important manifestation of railway transportation capacity and the main basis for determining the scale of railway transportation infrastructure construction. Whether the forecast results of railway passenger traffic are reasonable will have a direct impact on the transportation production and efficiency of the railway. In recent years, the data of railway passenger transportation turnover is collected and used, and the grey prediction method is used to establish a GM (1,1) prediction model to predict the future passenger turnover. The method is characterized by systemicity, connectivity and dynamics. The accuracy test shows that the accuracy level of the model is "good".
Forecast of Railway Passenger Transport Turnover Based on GM(1,1) Model
2019-12-01
235244 byte
Conference paper
Electronic Resource
English
Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model
Tema Archive | 2014
|