This paper is torepresent a Traffic Accident Report and Analysis System (TARAS) through datamining using Clustering technique.
Detect the causes of accidents is the main aimof this paper. The transport department of government of India produced thedataset for the study contains traffic accident records of the year and lookinto the performance of J48. The classification accuracy on the test result disclosesthe three cases such as accident, vehicle and casualty. Genetic Algorithms isused for the future selection to lower the measurements of the dataset.
However,it is not possible to find out very strict details for enhancing roadconstruction plans from this data. More detailed location specific informationfrom accident locations and situations are needed. with the help of thisProject, the analysis can be done and therefore preventive measures can betaken. It can help the government to keep track of records of the accidents,causes of accident, vehicle number, vehicle owner’s name and address.
In thiswork, we extended the research to three different cases such as Accident,Casualty and Vehicle for finding the cause of accident and the severity ofaccident. With the current data it is possible to recognize the risky roadsegments and the road user groups responsible for accidents in certainenvironments. This project will also help us to add news record and delete olddata .The viewer or user can also make their own account for viewing the site.you can view the data about causality .
Our system will provide the graphicalview of the accidents with respect to the data entered into the systemaccording to the period .This system will provide the solutions as accidentscauses. So that with the help of this system government can take the necessaryactions according accidents cases.1) Accurate Location ofaccident2) GPS integration3) Government IDAuthentication for user Data4) Advanced Filtertechnique Accident Solution prediction