Title :
Review on: Severity estimation unit of automotive accident
Author :
Raut, Saroj ; Karmore, Swapnili
Author_Institution :
Dept. of Comput. Sci., G.H. Raisoni Coll. of Eng., Nagpur, India
Abstract :
In the last decades, there have been remarkable growth in the total number of vehicles around the world, and results in increase in traffic accidents rate. Several approaches have found in existing road safety vehicular system through the use of telecommunication technologies but, most of them is for improving traffic safety and focused on vehicle to vehicle communication. In this framework, an advanced communication technology is supported by intelligent Artificial Neural Network (ANN) system and fuzzy system in order to mine the specific features of data sets. Hence it provides accurate notification and severity estimation of the accident for better assistance in traffic accidents. This system reduce the response time to give alert about accident and hence will improve the overall rescue process after an accident takes place. It´s an intelligent robust, cost effective system which is able to detect road accidents, notify them, and estimate their severity.
Keywords :
fuzzy set theory; mobile communication; neural nets; road accidents; road safety; traffic engineering computing; ANN; advanced communication technology; automotive accident; fuzzy system; intelligent artificial neural network system; road accidents; road safety vehicular system; severity estimation; severity estimation unit; telecommunication technologies; traffic accidents rate; traffic safety; vehicle to vehicle communication; Accidents; Algorithm design and analysis; Artificial intelligence; Estimation; Road safety; Sensors; Vehicles; Fuzzy System; Intelligent Transportation System; Severity of accident; Vehicle to control unit communication;
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
DOI :
10.1109/ICACEA.2015.7164800