Black Spot for North Greece (BSNG)

Black spot identification is considered a spatiotemporal phenomenon because it involves both the geographical location of the road network and the occurrence of road accidents over time. The analysis of road accidents is typically performed over a specified time period and at specific locations on the road network. The results of this analysis is used to identify locations on the road network that have a higher concentration of road accidents, which are referred to as black spots. These problematic places are evaluated to determine the underlying causes and the reason behind the higher spatial concentration of collisions. Factors such as road design, traffic volume, driver behavior, weather conditions, and road infrastructure can all play a role in car accidents. Identifying black spots can be challenging owing to limited data availability, data quality, and difficulties in accurately assessing factors contributing to road accidents. Additionally, changes in road design and infrastructure over time, as well as improvements in vehicle safety technology, can impact the validity of black spot analysis and the concept of black spot determination. In this work a study was conducted on traffic accidents situated on Greek road networks for the purpose of black spot recognition. The data were acquired from car crash reports issued by police and other government sources. A publicly available dataseta, called Black spots of North Greece (BSNG), and a highly accurate identification method were the outcomes of this study.