User Specific Safe Route Recommendation System
Yash S Asawa, Samarth Gupta, Varun, Nikhil Jain · Zenodo (CERN European Organization for Nuclear Research) · 2020
Criminal activities have reached unprecedented levels in almost every part of the world. Desperate times like these require desperate measures to ensure the safety of people, especially people that need to travel on a daily basis to places, known and unknown. The majority of these criminal offences occur while the victim is travelling, irrespective of the mode of transport: walking, personal vehicles, public transport vehicles, auto-rickshaws, or cabs. This paper proposes a User-Specific Safe Route Recommendation System which presents a safe route visualized on maps to the user based on the past criminal records of the geographical region. Our approach is implemented on two-levels, first to realize the user-specific features using a Decision Network and the latter to actuate the safe route generation using Geospatial Data Analysis. We visualize the determined routes through a colour-code based map interface. Keeping in mind the real-life impact our project needs to create; we have demonstrated our model on San Francisco city data to show the effectiveness of our approach.