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 light of increasing criminal activities, it has become important that everyone should be concerned about individual safety. It has been observed that criminal activities occur frequently in areas designated as criminal hotspots. Road safety is of paramount importance, as people often need to travel through unfamiliar areas via various modes of transportation, including walking, public transit, private vehicles, autorickshaws, and taxis. It is observed that these incidents are more often when the victims are likely to be individuals. This paper aims to enhance the safety of people. It analysed recent criminal records and aims to gather individual feedback regarding a specific incident in a particular area. This System Is intended to take geographical locations as input and identify the safest route between a given source and destination at a specific time. The approach utilises an optimised A* algorithm to determine the optimal path, considering both crime rate severity and proximity. Open-Source Routing Machine (OSRM) is used to handle realtime 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 optimised, 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