Abstract
This study aims to determine the characteristics of the accident-prone areas (black site) and points prone to accidents (black spot) traffic, the location of the accident-prone areas (black site) and points prone to accidents (black spot) traffic, and map location of accident-prone areas (black site) and accident-prone points (black spot) traffic. The variables in this study using primary data and secondary data. Primary data includes determining the coordinates of X and Y, land use, and traffic signs. The secondary data includes geometric road, traffic volume, road capacity, the data event of an accident, and the slope of the terrain. Mechanical analysis identifying accident-prone areas (black site) and accident-prone points (black spot) traffic is Z-Score analysis techniques and Cusum (Cumulative Summary). The results showed that the characteristics of the accident-prone areas (black site) and accident-prone points (black spot) traffic is influenced by land use, geometric road, traffic volume, the capacity of the road, traffic signs, and the data scene of the accident.
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