International Journal of Scientific Research and Engineering Development

Road traffic accidents are a major concern worldwide, causing significant loss of life, injuries, and economic damage. Identifying accident-prone areas is essential for improving road safety and supporting effective transportation planning. This study utilizes Geographic Information System (GIS) techniques to analyze the spatial distribution of road accidents and identify accident hotspots. Historical accident data, road network information, traffic characteristics, and location coordinates are integrated within a GIS environment for spatial analysis. Techniques such as accident density mapping, hotspot analysis, and spatial clustering are employed to detect high-risk locations. The generated GIS maps provide a visual representation of accidentprone zones, enabling transportation authorities and planners to implement targeted safety measures. The results demonstrate that GIS is an effective tool for identifying accident black spots and supporting datadriven decision-making for accident prevention and road safety management. The study highlights the importance of spatial analysis in reducing accident risks and enhancing the overall efficiency of transportation systems.

Shravani Bhoite, Anand Tapase, Shruti Kadam, Shravani Jadhav,"Detecting Accident-Prone Areas Using Geoghraphic Information System (GIS)" International Journal of Scientific Research and Engineering Development, V9(3): Page(2686-2693) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.