Patent ID: 10850731

Abstract:
Proposed are a measuring apparatus (1) and a measuring method for automated traffic and driving pattern recognition and location-dependent measurement and forecast of absolute and relative risks for car accidents based on exclusively non-insurance related measuring data and based on automated traffic pattern recognition and associated with the traffic and driving pattern providing a high degree of temporal and spatial resolution. The proposed apparatus (1) provides a grid-based (2121, 2122, 2123, 2124), technically new way of automation of automated traffic and driving pattern recognition and risk-prediction related to motor accidents using environment based factors (elevation, road network, traffic data, weather conditions including socio-economic factors) that are impacting motor traffic and are location dependent received from appropriate measuring devices (41, . . . , 45). In this way, predictions of the accident risk for arbitrary areas can be provided. The measuring apparatus (1) is calibrated by comparing features of areas or road segments with the number and type of accidents that have measured or registered there, linking the features and accident data e.g. using the disclosed machine learning techniques.