A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks

Abstract EN

Passenger flow risk forecasting is a vital task for safety management in high-speed railway transport hub.

In this paper, we considered the passenger flow risk forecasting problem in high-speed railway transport hub.

Based on the surveillance sensor networks, a passenger flow risk forecasting algorithm was developed based on spatial correlation.

Computational results showed that the proposed forecasting approach was effective and significant for the high-speed railway transport hub.