Traffic Management System at Railway Crossings Using Iot

Telecommunication and computing technologies have become instrumental in solving various real-world problems. One pressing issue that developing countries still face is the safety of railway level crossings. These crossings pose significant risks, including accidents resulting in fatalities, injuries, and vehicle damage, all of which have detrimental effects on a country's economy. To address this challenge, the adoption of IoT technologies in the railway sector holds great potential. Previous research has proposed automated systems employing different IoT approaches, but upon thorough literature analysis, it is evident that these studies have their limitations. To overcome these shortcomings, this paper presents a novel system that combines IoT and machine learning concepts to create an efficient and effective solution for reducing fatal accidents at level cro Additionally, the system sends notifications to users, indicating the nearest railway station and suggesting alternative routes to reduce travel time based on latitude and longitude data.The suggested solution uses IoT to establish an intelligent and automated traffic control system at railway crossings. The solution features a centralized control unit that takes data from IoT devices and optimizes traffic management using complex algorithms and Google database approaches. movements, traffic density, and pedestrian safety. This ensures efficient traffic flow, reduces waiting times, and enhances overall safety at railway crossings.