Enhancing Road Safety through Crime Hotspot Detection and Secure Route Planning

Abstract

In the light of increasing criminal activities, it is become important that everyone should concern about individual safety. It has been seen those criminal activities near criminal hot spot happening frequently. Road safety is of paramount significance, as people frequently need to travel often through unfamiliar areas via various modes of transport, such as walking, public transport, private vehicles, auto rickshaws, or cabs. It is observed this incident are more often when victims are likely to be individual. This paper aims to enhance the safety of people. It analyzed criminal records happened recently and aims to take individual feedback regarding certain incident in particular area. This System intended to take geographical locations as input, to identify the safest route between a given source and destination at a particular time. The approach uses optimized A* algorithm to determine optimized route considering crime rate severity and proximity. Open-Source Routing Machine (OSRM) to handle the real-time mapping and routing data. OSRM provides efficient and accurate routing, allowing the system to dynamically calculate the shortest and safest routes based on real-world road networks. The system offers three types of routes-fastest, safest, and optimized using a modified A* algorithm that balances travel efficiency with safety.