STREET ACCIDENT PREDICTION USING INFORMATION MINING TECHNIQUES

Street visitors accident are taken into consideration as primary public fitness problem. Which will supply safe driving hints, cautious analysis of avenue traffic f acts is critical to discover out variables which can be carefully associated with fatal injuries. In this paper we apply probability analysis and records mining algorithms on FARS Fatal Accident dataset as an attempt to deal with this problem. The relationship between fatal rate and different attributes together with collision way, weather, floor condition, mild condition, and under the influence of alcohol motive force were investigated. Category version turned into constructed by naive bayes class ifier, and clusters were fashioned by way of easy k -way clustering algorithm. Sure safety riding suggestions were made based on chance, type version, and clusters acquired. Index Term -Roadway fatal accidents, classification, clustering, FARS