Enhancing Road Safety through Crime Hotspot Detection and Secure Route Planning
Shrey Arun Ingole1, Shailesh Yerawad2, Soham Godkar3, Pranav Waklekar4, Suruchi Gaurav Dedgaonkar5, Pravin Futane6
1Shrey Ingole, Department of Information Technology, Vishwakarma Institute of Information Technology, Pune (Maharashtra), India.
2Shailesh Yerawad, Department of Information Technology, Vishwakarma Institute of Information Technology, Pune (Maharashtra), India.
3Soham Godkar, Department of Information Technology, Vishwakarma Institute of Information Technology, Pune (Maharashtra), India.
4Pranav Waklekar, Department of Information Technology, Vishwakarma Institute of Information Technology, Pune (Maharashtra), India.
5Dr. Suruchi Dedgaonkar, Department of Information Technology, Vishwakarma Institute of Information Technology, Pune (Maharashtra), India.
6Dr. Pravin Futane, Department of Information Technology, Vishwakarma Institute of Information Technology, Pune (Maharashtra), India.
Manuscript received on 12 October 2024 | First Revised Manuscript received on 20 October 2024 | Second Revised Manuscript received on 12 December 2024 | Manuscript Accepted on 15 January 2025 | Manuscript published on 30 January 2025 | PP: 29-37 | Volume-12 Issue-1, January 2025 | Retrieval Number: 100.1/ijies.K109511111124 | DOI: 10.35940/ijies.K1095.12010125
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Safe Routing, Crime Hot Spot Mapping, OSM, A* Algorithm, QGIS.
Scope of the Article: Artificial Intelligence & Methods