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Black spots are areas in the public road network where the number of accidents is significantly higher than expected. There are several methods that may be used to find these black spots, they usually use the road number and road section based positioning system, which is very useful in cases when we want to find black spots in one road only. But it has several disadvantages in the case of junctions, interurban areas, etc. It would better to use GPS coordinates, but the already existing black spot search methods are not applicable in this case. This paper presents a modified DBSCAN based clustering method in order to find accident black spots. DBSCAN is a general clustering algorithm, so it has been adapted to work with road accidents identified by GPS coordinates. We also present a fast and accurate technique, which calculates the accident density in a given area.

CLUSTERING ALGORITHM IN ORDER TO FIND ACCIDENT BLACK SPOTS IDENTIFIED BY GPS COORDIANTES