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Title: Automated Railways Collision Avoidance System Using Wireless Networks
Authors: Chadha, Amit Bir Singh
Goyal, Abhishek
Verma, Davisha
Sood, Meenakshi
Keywords: GSM
Issue Date: 2013
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: This paper concentrates on predicting and removing the major cause of railway accidents, that is, head-on collisions on the same track. For this purpose we are using advanced technology to identify train positions, detect collision as well as the points where collisions may occur. The primary goal of this paper is to provide an anti-collision safety device for vehicles travelling on tracks, even without any driving personnel, that is to say, a device which itself can estimate risks and react in consequence. This ensures that if any collision is likely to occur, then this system will help to avoid collisions by giving an alarm in time and actuating emergency brakes if required. The goal of this work is to design and implement a cost effective and intelligent full-fledged microcontroller and wireless based Train Anti Collision System to successfully prevent the train collisions. It aims at efficiently integrating into the existing signaling system implemented in Indian Railways and avoiding accidents due to head-on collisions. For automated set-up, the advanced wireless technologies, GPRS and ZigBee are used. A ZigBee masterslave network is setup, which is interfaced with GPS to receive location-related data and then transmit it to different nodes.
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