Road Accidents Dataset Poland 1st Half 2023

Location characteristics provide context regarding the presence of traffic signals, signs, road geometry (straight, curved, decline, ascent), environmental features (hilltop, embankment, crosswalk), infrastructure elements (bridges, tunnels), and road construction. The road surface condition is captured as binary variables that indicate whether the surface was dry, wet, had puddles, was icy, contaminated, or rutted. The vector of accident types includes various collision modalities, impacts with pedestrians, animals, barriers, stationary vehicles, and other unspecified incidents.

Weather conditions are also binary variables, reflecting whether it was clear, cloudy, glare, windy, rainy, snowy, or foggy at the time of the accident. The dataset includes the number of vehicles involved and their types, such as two-wheelers, cars, buses, trucks without trailers, tractors, and others. Road characteristics such as highway or expressway status, carriageway type, number of lanes, population density, average traffic, and allowed speed are included.

Time-related variables provide details on the accident, response times, delays in reporting and clearing the accident, as well as daily and weekly temporal markers. Lastly, the dataset includes a predictive variable for the anticipated time required to clear the accident from the road, which is vital for traffic management and emergency response optimization.