New A.I. Patent Will Detect Aggressive Driving with Machine Learning

Truth Unmuted – by Martin Anderson

A recent patent application has proposed a system for identifying ‘aggressive driving behavior’ at junctions using machine learning algorithms deployed in civic edge computing devices.

In contrast to recent innovations of AI research into in-vehicle ‘road rage’ analytics (primarily intended for the benefit of insurance companies), the system proposed is instead municipal in nature, and could be aimed at facilitating penalties for drivers that are not conforming to the ambient norms of ‘safe’ driver behavior. It is also specifically intended to provide bad drivers with related in-car audiovisual alerts.

The patent was filed at the US Patent and Trademark Office on 29th April 2021 on behalf of the Board Of Regents of the University of Michigan, and the Denso corporation, a Japanese automotive components manufacturer owned by Toyota.

The proposed framework is not entirely passive or dependent on civic equipment, but would also require in-vehicle technologies capable of turning cars into contributing sensors for the system. Effectively, this would turn every equipped vehicle into a traffic monitoring node, though the same oversight would also be turned on the driver themselves, with the additional benefit of access to the vehicle’s onboard data streams. The schematic for the in-car installation (pictured below right) submitted in the patent includes direct sensor data from the vehicles brakes, throttle, steering wheel and odometer, as well as requiring access to maps data.

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