Design and analysis of an intelligent collision avoidance system for locomotives

Railways provide a better alternative to other modes of transport by being energy efficient since it can carry large number of people and goods at the same time. In the recent years, number of accident due to trains are more and the losses also heavy. The main reason for these accidents is irresponsibility of driver and signalling problems which results severe damage to life and property. We have proposed a new method called Intelligent Collision Avoidance System (ICAS) for avoiding frontal collision. This system avoids the collision in an efficient way by notifying the status of two trains in the same track when they are separated by three kilo meters. This is done by warning the driver both visually and by giving a sound alert. The ICAS will manage situations efficiently and notify the opposite train which is on the same track. We have designed a new vibration sensor for sensing the train on the track. Analyses of channel model for different geographical area are discussed. The prototype is designed using micro controller and tested successfully through wireless communication.