CRIME PRONE AREA DETECTOR WITH MAPPING SERVICES USING CRIME DATA

Computer engineering

Crimes are increasing at a rapid rate , thus safety & security is becoming a major concern for us . While travelling, people should know whether the route is safe or not to travel from. People who are new to a place , have no idea about the safe routes of that particular region. Now a days people rely on google maps for planning their routes but it only provides the shortest path & doesn’t provide any information on safer routes . There are several other route planning apps which provide the secured route, but do not consider all the factors that are responsible for safety of the path. Apart from other navigation apps, this paper describes an method to find secured route having lowest score. This paper uses updated crime and accident data available to determine average risk score of clusters/regions. Machine learning algorithms are used to generate the score of a path based upon average score of nearby clusters. Also, one can get better results by increasing the number of factors that affect the safety of the path. In future, a better prediction algorithm can be introduced through which traveler can identify probable crimes which he/she might face while travelling on a specific route.

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