Passenger flow prediction risk early warning method based on multi-source data fusion input

Abstract

The invention discloses a passenger flow prediction risk early warning method based on multi-source data fusion input. The method comprises the following steps of: acquiring sample data; classifying and preprocessing the sample data; setting corresponding passenger flow early warning thresholds for the various sample data; and comparing real-time passenger flow prediction data with the passenger flow early warning thresholds, and sending out a corresponding early warning instruction according to a comparison result. Under the condition that large passenger flow occurs, balance of passenger flow in a station is analyzed in real time, a station passenger flow imbalance coefficient is calculated, a passenger flow early warning threshold is obtained according to the station passenger flow imbalance coefficient; and the real-time passenger flow prediction data is compared with the passenger flow early warning thresholds, and the corresponding early warning instruction is sent out according to the comparison result; and measures such as passenger flow induction and station flow limiting can be taken in time, and therefore, cost can be reduced, the efficiency can be improved, and passenger travel risks are reduced.

Description

technical field [0001] The invention relates to the technical field of rail transit, in particular to a method for passenger flow prediction risk early warning based on multi-source data fusion input. Background technique [0002] With the rapid development of urbanization in our country, the urban space and population scale have increased sharply, making the contradiction between transportation supply and demand more prominent, and the congestion phenomenon is becoming more and more serious. Urban rail transit has become an important means to solve traffic congestion due to its advantages of fast speed, stable time, large transportation capacity, low operating cost, and small impact on the environment. [0003] Due to the increase of passenger flow in the morning and evening peak hours, some transfer stations show serious shortage of capacity and severe congestion, and in some specific facility areas, emergencies and accidents are likely to be induced, such as platform cong...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the technical problems existing in the background technology, the present invention proposes a passenger flow prediction risk warning method based on multi-source data fusion input to solve the passenger flow risk assessment that cannot be used for station equipment and facilities in the prior art, and improve station operation efficiency and security issues

Images