Sensor Based Smart Railway Accident Detection and Prevention System for Smart Cities Using Real Time Mobile Communication

Recent advances in various technologies have introduced effective new systems that can be successfully deployed in various future rail operations and applications, including smart city security functions. Rail accidents are a major problem in the transportation industry in many countries around the world. There is an urgent need to install protective elements to prevent accidents. This research describes the design and implementation of the rail safety system for smart cities using real-time mobile communication. The proposed prototype system has two basic functions to operate, namely accident detection and accident prevention. The proposed system consists of several sensors, LTE module, micro-controller, motorized gate and various displays for traffic control. The detection of the train is tracked via round trip time of the ultrasonic sensor and a micro-controller is used together with a GPS module and an LTE module to detect accidents. Hence there is two-way communication between the train and the control room. The proposed system is implemented by controlling the automated doors according to the reading of the sensors. When the sensors detect the movement of the rail, they can indicate this in real time through a buzzer and the message, which will eventually close the doors installed at the level crossing. In addition, the coordinates of the rail are transmitted via the GPS module, the GPS module continuously monitors the location, speed and time of the car. Therefore, the stated goal is achieved through real-time two-way communication between the control room and the rail via LTE and GPS modules. In this research, a prototype is designed and tested in real time for various scenarios to demonstrate the effectiveness of the proposed system. In the end, this research provides the simulation results to substantiate our claim to the reliability and importance of the proposed system for the implementation in the smart cities.