A Crowd-Sourced Adaptive Safe Navigation for Smart Cities

There has been a lot of work on finding safest path from source to destination. However, all these works mainly rely on the crime data available through government sources. The works are missing many important factor that affect safety of a route. In this work, we first propose safety measurement score and then show how it can be used for safe navigation. We proposed a comprehensive safety measure that adapts with time according to the user feedback and online crowd-sourced information. We have developed a complete end-to-end system to demonstrate efficacy of the proposed framework.