Smart Train Accident Detection And Prevention System Using Iot Technology

Abstract

The point of this paper is to plan and foster a finger impression based train motor getting to framework with a perspective on lessening manual working and to avert unauthorised users. As of late, train commandeer has been on the increment as equipped burglars center around taking vehicles, particularly the pristine ones. This is accomplished with the utilization of a finger impression module, ATMega328P microcontroller and Liquid Crystal Display (LCD) module. Correspondence based train control (CBTC) [8] is a control mechanism which use bidirectional train–ground to operate the trains in a safer manner. Since there is problem in controlling the train via remote operation and its transportability, wireless networks can be incorporated to manage the execution of train control system.For that we used ESP2866 wifi module which is used for uploading the train engine drivers database into the server. However we can avoid this collision and prevent the train from accident by utilizing the impact identification innovation which can be made by ultrasonic sound. This technology is used to detect the obstacle and it gradually slow down the speed of the train by applying the air brake to stop the train before the mishap occurs.