• Asmita Bhat
• Vrushali Patil
• Madhuri Sonawane
• Shital Bagul

As criminal activities are increasing day by day, it is very important to ensure the safety of people to the best possible extent. Current times, demands people to travel to various places, known or unknown. People may not be aware of the unsafe areas and unsafe streets while travelling. In this paper, we attempt to mine the records of 12 years based on geographical locations to determine the safest route amongst all possible routes for given source and destination at a particular time. We use the ID3 decision tree algorithm and determine the risk involved for the streets within a given route. Also, based on the gender and the time of journey, the safest route is suggested so as to provide safety while travelling. This paper discusses the approach , dataset used, the ID3 algorithm and results. This algorithm can be used for various applications such as area wise crime analysis, criminal profiling and assisting in real estate for prospective buyers.

Data mining, Spatial Database and GIS, ID3 Decision tree, Safest Route.

"Application to determine the Safest Route ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 4, page no.237-241, April-2017, Available :http://www.jetir.org/papers/JETIR1704058.pdf

"Application to determine the Safest Route ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 4, page no. pp237-241, April-2017, Available at : http://www.jetir.org/papers/JETIR1704058.pdf