نوع مقاله : مقاله پژوهشی
کلیدواژهها
موضوعات
عنوان مقاله English
نویسندگان English
Identifying road accident hotspots enables better understanding of accident patterns for road safety experts to improve roads safety. This study as an applied research, analyzes road accidents to identify blackspots using clustering algorithms: Kernel Density Estimation (KDE), Local Moran's I, and K-Means. The Iranian Ministry of Roads and Urban Development's definition of blackspots was used as the reference for algorithms comparison and results validation. The study examined road accident data on the Mashhad-Bojnord road from 2019-2022. After extracting blackspots using the mentioned algorithms in raster format, their overlap with the reference blackspots was calculated. The KDE algorithm showed the highest match with the blackspots, with 82.55% and 70.96% overlap in forward and return directions, respectively. Analysis of blackspots and accidents distributions near settlements revealed that the highest accident density occurs in the first 30 kilometers of Mashhad city, between Farooj and Shirvan cities, 14 kilometers after Shirvan city exit in the forward direction, and the first 8 kilometers of Bojnord city.
کلیدواژهها English
