Design and Application of Large Passenger Flow Warning System for Urban Rail Transit

Abstract

With the continuous of new rail transit line, the situation of large passenger flow impact is extremely severe. It is urgent to monitor the status of urban rail transit in real time and ensure the safe and efficient operation of rail transit. This paper analyzes various problems brought by the current large passenger flow impact on the rail transit network in Beijing. Based on the characteristics of the Internet of Things technology, such as sence, transmission, Intelligence, and application, the idea of building a IOT system for the prevention and pre-warning of large passenger flows in rail transit was proposed. This paper establishes a network passenger flow distribution model based on the improved logit model, which realizes accurate judgment and intelligent analysis of large passenger flow in rail transit, and uses passenger flow model data to automatically and intelligently display track events and risk prediction and intelligent pre-warning capabilities. Based on the Internet of Things technology, this paper builds a rail transit passenger flow prevention and pre-warning IOT system with rail operation, supervision and service. The construction and successful application of the platform can provide accurate data support for the daily operation of companies, government management department and the emergency evacuation command under the incident, which plays an exemplary role in the application of the Internet of Things technology in traffic safety prevention.