• MANOJ G
• N.Deepika

- Activity security is a noteworthy concern for transportation overseeing offices and also customary residents. So as to give safe driving proposals, watchful investigation of roadway movement information is basic to discover factors that are firmly identified with deadly mishaps. In this paper we apply measurements examination and information mining calculations on the FARS Fatal Accident dataset as an endeavor to address this issue. The connection between deadly rate and different traits including crash way, climate, surface condition, light condition, and alcoholic driver were examined. Affiliation rules were found. Certain security driving recommendations were made in view of insights, affiliation rules, order model.

"Traffic Assist - Track and Monitor Accidents Using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.122-127, December-2018, Available :http://www.jetir.org/papers/JETIR1812919.pdf

"Traffic Assist - Track and Monitor Accidents Using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp122-127, December-2018, Available at : http://www.jetir.org/papers/JETIR1812919.pdf