Design and development of artificial intelligence assisted railway gate controlling system using internet of things

Abstract

A improvised solution for the Indian Railways' human level crossing controls and the attendant reliability issues they cause. In our nation, level crossings have been the scene of several train accidents. So far, there have been zero productive actions. Using an infrared (IR) detector and an audible alert, the proposed system automatically opens and closes level crossing gates based on when trains approach or depart from the crossing. However, it's possible that a car may become stuck between the pedestrian crossing barriers if they're automated. Here, an ultrasonic sensor may identify the obstruction between the crossing gates, and an Internet of Things (IoT) module would inform the train of the situation. When a train approaches or departs from a railroad crossing, infrared sensors detect its presence and alert an Arduino-UNO, which then commands the gates to open or close using a little servomotor stationed nearby. Using the Node MCU and GPS navigational technology, this system also aims to reduce latency in detecting combustion attacks within the compartment. The resulting section of this paper proves the proposed work efficiency by means of graphically illustrates the following metrics such as: human detection accuracy, gate closing efficiency, alerting system efficiency and data storage efficiency.