Research on Peak Passenger Flow Forecasting at Fuzhou Metro Stations Based on Multi-source Data
In order to improve the prediction accuracy of peak passenger flow in subway stations,based on multi-source data and statistical rules,the characteristics of passengers entering the subway station during peak hours were analyzed,and the three-dimensional model of the person-to-post ratio-peak hourly flow-over-peak hour coefficient and the three-dimensional model of population-post-peak hour deviation coefficient were established.Taking the stations that have been opened and operating in Fuzhou City,Fujian Province as the research object,the AFC data were analyzed,the passenger entry and transfer information was obtained,and the influencing factors and key parameters were studied according to the different land use properties around the stations,and the ultra-peak hour coefficient model and peak hour deviation coefficient model were established.
万方数据
维普
