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A system for automatic notification and severity estimation of automotive accidents
1. IEEE 2014 JAVA PROJECT
A SYSTEM FOR AUTOMATIC NOTIFICATION AND SEVERITY ESTIMATION OF AUTOMOTIVE
ACCIDENTS
ABSTRACT:
New communication technologies integrated into modern vehicles offer an opportunity
for better assistance to people injured in traffic accidents. Recent studies show how
communication capabilities should be supported by artificial intelligence systems capable of
automating many of the decisions to be taken by emergency services, thereby adapting the rescue
resources to the severity of the accident and reducing assistance time. To improve the overall
rescue process, a fast and accurate estimation of the severity of the accident represent a key point
to help emergency services better estimate the required resources. This paper proposes a novel
intelligent system which is able to automatically detect road accidents, notify them through
vehicular networks, and estimate their severity based on the concept of data mining and
knowledge inference. Our system considers the most relevant variables that can characterize the
severity of the accidents (variables such as the vehicle speed, the type of vehicles involved, the
impact speed, and the status of the airbag). Results show that a complete Knowledge Discovery in
Databases (KDD) process, with an adequate selection of relevant features, allows generating
estimation models that can predict the severity of new accidents. We develop a prototype of our
system based on off-the-shelf devices and validate it at the Applus+ IDIADA Automotive Research
Corporation facilities, showing that our system can notably reduce the time needed to alert and
deploy emergency services after an accident takes place.
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OPP.BusStand,Karur-639 001.
TamilNadu ,India.Cell:+91 9894917187.
Website: www.ecwayprojects.com| www.ecwaytechnologies.com
Mail to: ecwaytechnologies@gmail.com.
