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Accident Spot Detection System using Android


Poonam Patil , Sandip Polytechnic; Smita Bhalerao, Sandip Polytechnic; Pallavi Late, Sandip Polytechnic; Laxmi Pawar, Sandip Polytechnic; Nitin Dhamale, Sandip Polytechnic


Accident Spot, Detection System, Android


Now a day it is seen that there are number of vehicle and accident increasing day by day. Many people get injured and some of them even die due to unavailability of emergency facilities. The emergency responders take much long time to reach the spot which some time fail to save the lives. So to reduce this scenario there is need to decrease the time between the accidents occurred and the emergency facility provided to them. Mostly, it is found that road accident happening are more frequent at certain specific locations i.e. black spot. The analysis of these black spot can help in identifying certain road accident factor that make a road accident to occur frequently in that locations. In this project we apply statistics analysis and Eclat algorithm on the Fatal Accident dataset as an attempt to address this problem. Association rule mining is one of the popular data mining techniques that identify the causes of road accident. In this project, we first applied Eclat algorithm to group the accident locations into A level, B level, C level accident location. Eclat algorithm takes accident level count as a factor to cluster the locations. Then we will use association rule mining to identify these locations. The rules show different factors associated with road accidents at different locations. According to this android phone which will detect the accidental spot and alert to hospital system and police station with alert message along with the link of map using GPS which will address the exact place of accident.

Other Details

Paper ID: IJSRDV7I120139
Published in: Volume : 7, Issue : 12
Publication Date: 01/03/2020
Page(s): 73-74

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