Data-parallel Implementation of Accident Black Spot Searching Method

S, Szénási [Szénási, Sándor (Informatika), szerző] Alkalmazott Informatikai Intézet (ÓE / NIK); Jankó, Domokos

Angol nyelvű Tudományos Szakcikk (Folyóiratcikk)
Megjelent: ÓBUDA UNIVERSITY E-BULLETIN 2062-2872 6 (1) pp. 9-15 2016
    Identification of accident hot spots of the public roadway (also called accident black spots) is one of the main tasks of road safety experts to avoid further traffic accidents and personal injuries. There are several available methods for this purpose, and one of the most promising of them is based on the GPS (Global Positioning System) coordinates of accidents and uses a well-known data-mining approach called DBSCAN (Density- based Spatial Clustering of Applications with Noise). This method is well parallelizable. Therefore, we can run multiple independent searches from different starting points of the search space. This paper presents a graphics accelerator based implementation of the original sequential algorithm to decrease the processing runtime.
    Hivatkozás stílusok: IEEEACMAPAChicagoHarvardCSLMásolásNyomtatás
    2021-03-07 13:01