Safety index: Using ubiquitous data for a safe transportation system

When it comes to any type of crime it is just not a good picture to paint. Crime is a worldwide problem that directly or indirectly touches every one of us in multiple manners: as sufferers, in paying greater costs for merchandises and amenities, besides living with the concerns of fright and corruption. Moreover, location has a significant impact on crime. We propose a system to provide optimal travel route in Gurgaon, India (chosen as sample) along different modes of transport keeping in mind the distance and safety. We shall be using different learning algorithms to train the system based on available crime statistics (using research and surveys from government/non-government organizations).