An Automated Railway Level Crossing System

Telecommunication, and computing technologies are the key technologies that can be used to derive solutions for many real-world problems. The developing countries still facing many issues in railway level crossings. The level crossing accidents may cause many serious hazards such as deaths, injuries, and vehicle damages, which altogether lead to a fall on a country's economy. This problem can be solved by adopting IoT technologies in the railway sector. There are many automated systems suggested by different researchers with different IoT approaches in the past. However, as we analyzed the literature thoroughly, there are shortcomings in each study performed. This paper proposes a novel system to overcome the shortcomings of the automated railway gates using IoT and machine learning concepts in an excellent and efficient way to reduce the fatal accidents of the level crossing into almost null. A comprehensive embedded system is proposed with two subsystems, which are Train Detection Subsystem (TDS) and Level Crossing Subsystem (LCS). The TDS is done using a vibration sensor and inductive proximity sensors, and a camera module accomplishes the vehicle detection process of LCS with image processing and a machine learning algorithm. The wireless communication process uses the AES algorithm for secure data transmission between LCS and TDS through Radio Frequency (RF) communication module. This model will be an efficient model to avoid many fatal accidents in the railway crossings and also will be an excellent solution to contribute to a country's economy indirectly.