Station passenger flow volume trend prediction and statistical analyzing method

Abstract

The invention discloses a station passenger flow volume trend prediction and statistical analyzing method, which comprises the following steps: S1) recalling the historical passenger flow volume data; S2) establishing the functional relationship between the arrival time of the passengers and the number of passengers into the station in an earliest allowable period, or rather, the passenger flow volume trend forecasting model; and S3) utilizing the model obtained from the step 2 to make predictions; and according to the prediction data, making statistics and analysis of the passenger flow volume; and generating visible display. According to the method proposed by the invention, it is possible to estimate the passenger flow volumes of various periods of a day in the future as well as the passenger flow volumes of various waiting rooms so that the station working staff could clearly know in which period, the passenger flow volumes reach their peak, and in which waiting room, the peak of passenger flow volumes might occur, therefore, providing effective basis to avoid and control the passenger flow volume peak, regulate the loading capacity of trains and make proper scheduling.

Description

technical field [0001] The invention belongs to the technical field of railway intelligent monitoring and dispatching, and specifically relates to a method for predicting and statistically analyzing passenger flow trends at stations. Background technique [0002] With the rapid development of railway transportation such as bullet trains and high-speed railways, railways have always been the main means of transportation for people to travel with the advantages of safety, speed, comfort and low price. According to official data, the passenger flow of national railway Spring Festival travel in 2013 reached 240 million , an increase of 12.1% year-on-year. In 2014, the national railway Spring Festival passenger flow reached 266 million, and the passenger flow increased year by year. In 2015, the national railway Spring Festival passenger flow reached 295 million, and the passenger flow reached more than 8 million in a single day. The railway station is also overcrowded, which has...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of railway transportation such as bullet trains and high-speed railways, railways have always been the main means of transportation for people to travel with the advantages of safety, speed, comfort and low price. According to official data, the passenger flow of national railway spring travel in 2013 reached 240 million , a year-on-year increase of 12.1%. In 2014, the national railway Spring Festival passenger flow reached 266 million, and the passenger flow increased year by year. In 2015, the national railway Spring Festival passenger flow reached 295 million, and the passenger flow reached more than 8 million in a single day. Just in normal times, The railway station is also overcrowded, which has brought enormous pressure to the railway work. In order to maintain the order of passengers in the station and ensure the safety of passengers, and increase manpower and material resources to guide them, monitoring equipment is generally installed in the station. It is transmitted to the central control room, but when the staff finds an area that needs to be evacuated from the central control room, when notifying other staff in the station to deal with it, it is often impossible to arrive and deal with it in time due to too many passengers, especially when illegal incidents occur. be resolved in time

The inability to evacuate the passenger flow in time makes the station staff and passengers exhausted and restricts the development of railway transportation

Images