Abstract: Road traffic accidents (RTAs) have turned out to be India’s biggest emerging challenge. Road safety is an issue of global concern on human life and property. In India more than1,37,000 people were killed in road accidents in 2013 alone, which is greater than the number of people killed in all our wars put together. The main aim of this work is to develop an inexpensive and efficient accident prediction and intimation system based on the concept of inherent magnetic feature of vehicle bodies to provide crash insight to vehicles. Anisotropic magneto-resistive (AMR) sensors which are optimized to work in the Earth’s magnetic field range and sonar or ultrasonic sensors are adopted for development of the proposed sensor system. AMR sensors are used to measure the magnetic ?eld disturbances caused by vehicles to Earth’s inherent uniform magnetic field and to get presence and relative position of vehicles. AMR sensors are able to work at small inter-vehicular distances down to 0 meter having high refreshment rate and highly inexpensive and compact. Achieving zero road accidents is practically impossible, but with the help of effective accident prediction and noti?cation, we can reduce the severity to the minimal level. Here we integrated GSM and GPS based noti?cation system which will be providing the timely intimation including the crash location to the nearby police station or hospitals which will ensure post-trauma medical care within minimum time. Accident severity and vehicles involved can also be predicted by the proposed system. A brief review on technologies to predict the collision between vehicles and notification systems are also covered in this paper.
Keywords: Accident prediction, Notification, Magnetometers, AMR, Intelligent transportation system.