Dear Friedns
It is my pleasure to inform you that our paper entitled "Detecting crash hotspots using grid and density-based spatial clustering" was published in Proceedings of the Institution of Civil Engineers -Transport. Our paper employs a grid and density-based clustering algorithm called GriDBSCAN to analyse crash data and find their spatial patterns. Other clustering methods such as Nearest Neighbour Hierarchical (NNH) and Kernel Density Estimation (KDE) were also applied to validate the results of the GriDBSCAN algorithm. Crash points recorded for Gebze and Izmit (Turkey) were clustered through these methods. This paper can be accessed via the following link. Please feel free to contact me if you have any question.
https://www.icevirtuallibrary.com/doi/10.1680/jtran.20.00028
Emerald Publishing
Detecting crash hotspots using grid and density-based spatial clustering
Data mining techniques, specifically spatial clustering methods, are used to analyse crash data and find their spatial patterns. In the present study, a grid and density-based clustering algorithm called GriDBSCAN was utilised for injury crash data. Other…
February 15, 2026 603
