INTELLIGENT MACHINE SENSING AND MACHINE LEARNING-BASED COMMERCIAL VEHICLE INSURANCE RISK SCORING SYSTEM

摘要

An intelligent machine sensing and machine learning-based commercial vehicle insurance risk scoring system utilizes in-vehicle sensors, OBD outputs, and electronic driver logs from real-time monitored commercial vehicles as well as accident-causality historical statistics to produce an accurate insurance risk score per monitored vehicle and its driver. The insurance risk score generated by the intelligent machine sensing and machine learning-based commercial vehicle insurance risk scoring system incorporates multiple insurance risk factors with a variable weighting ratio per factor, which is multiplied by a numerical value per factor, wherein each weighting ratio may be autonomously machine-determined based on the significance of each insurance risk factor to a likelihood of an actual accident or another safety event. Furthermore, the insurance risk score per monitored vehicle or commercial driver is objectively comparable to peer vehicles or drivers in a commercial fleet organization, and can undergo min-max feature scaling in deriving each finalized score.