Abstract: A method for identifying potential hazard zones in road traffic by vehicles connected to a central computer unit involves recording an incident indicative of a potential hazard zone and transmitting it to the central computer unit with its geolocation. The transmitted incident is listed as a hotspot in a digital map if there are a large number of similar incidents with the same geolocation. Contextual information is added to the transmitted incident. The hotspot is analyzed for the identification of a potential hazard zone, a current hotspot is compared with confirmed hotspots, the hotspots are visualized on a platform, with a geolocation of a hotspot-confirmed traffic critical incident being transmitted to an authority to be checked and/or as a warning message to a vehicle currently near such an analyzed hotspot.

Abstract: A method for predicting a traffic situation for an automatically operating vehicle involves constantly recording the surroundings of the vehicle and predicting a traffic situation of the vehicle is predicted for a future point in time using recorded surroundings data and prediction parameters. Upon reaching the future point in time, a current real traffic situation is recorded, the current real traffic situation is compared to the predicted traffic situation, and it is determined in the comparison whether a prediction error was present during the prediction. In the event of a prediction error, the prediction parameters are corrected.

Abstract: A method for identifying potential hazard zones in road traffic by vehicles connected to a central computer unit involves recording an incident indicative of a potential hazard zone and transmitting it to the central computer unit with its geolocation. The transmitted incident is listed as a hotspot in a digital map if there are a large number of similar incidents with the same geolocation. Contextual information is added to the transmitted incident. The hotspot is analyzed for the identification of a potential hazard zone, a current hotspot is compared with confirmed hotspots, the hotspots are visualized on a platform, with a geolocation of a hotspot-confirmed traffic critical incident being transmitted to an authority to be checked and/or as a warning message to a vehicle currently near such an analyzed hotspot.

Abstract: A method for predicting a traffic situation for an automatically operating vehicle involves constantly recording the surroundings of the vehicle and predicting a traffic situation of the vehicle is predicted for a future point in time using recorded surroundings data and prediction parameters. Upon reaching the future point in time, a current real traffic situation is recorded, the current real traffic situation is compared to the predicted traffic situation, and it is determined in the comparison whether a prediction error was present during the prediction. In the event of a prediction error, the prediction parameters are corrected.