20240010206. System and Method of Reducing Vehicle Collisions Based on Driver Risk Groups simplified abstract (BlueOwl, LLC)
Contents
System and Method of Reducing Vehicle Collisions Based on Driver Risk Groups
Organization Name
Inventor(s)
Micah Wind Russo of Oakland CA (US)
Eric Dahl of Newman Lake WA (US)
Theobolt N. Leung of San Francisco CA (US)
System and Method of Reducing Vehicle Collisions Based on Driver Risk Groups - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240010206 titled 'System and Method of Reducing Vehicle Collisions Based on Driver Risk Groups
Simplified Explanation
The patent application describes systems and methods for reducing vehicle collisions based on driver risk groups. Here is a simplified explanation of the patent:
- Vehicle operators are classified into driver risk groups based on shared attributes such as location, workplace, school, demographic, hobby, interest, etc.
- Vehicle sensor data associated with each operator in the driver risk group is analyzed, including speed, acceleration, braking, cornering, following distance, turn signal usage, seatbelt use, etc.
- The analysis identifies indicators of safe driving behavior associated with the driver risk group.
- When a third party queries about a vehicle operator in the driver risk group, an indication of the safe driving behavior associated with the group is provided.
Potential applications of this technology:
- Insurance companies can use this system to assess the risk profile of their policyholders and offer personalized premiums based on their safe driving behavior.
- Fleet management companies can use this system to monitor and improve the driving behavior of their drivers, leading to reduced accidents and maintenance costs.
- Transportation authorities can use this system to identify high-risk driver groups and implement targeted educational campaigns or enforcement measures to improve road safety.
Problems solved by this technology:
- This technology helps identify and classify drivers based on their risk profile, allowing for targeted interventions to reduce accidents and improve road safety.
- It provides a more accurate assessment of driver behavior by analyzing various sensor data, going beyond traditional methods that rely solely on historical accident records or self-reported information.
Benefits of this technology:
- Improved road safety by identifying and addressing high-risk driver groups.
- Personalized insurance premiums based on actual driving behavior, leading to fairer pricing and incentives for safe driving.
- Enhanced fleet management and reduced costs for companies by monitoring and improving driver behavior.
- More effective allocation of resources by transportation authorities to target specific driver groups for education and enforcement efforts.
Original Abstract Submitted
systems and methods for reducing vehicle collisions based on driver risk groups are provided. a plurality of vehicle operators may be classified into a driver risk group based on one or more attributes (e.g., location, workplace, school, demographic, hobby, interest, etc.) shared by the plurality of vehicle operators. vehicle sensor data (e.g., speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, seatbelt use data, etc.) associated with each of the plurality of vehicle operators of the driver risk group may be analyzed. based on the analysis of the vehicle sensor data, one or more indicia of safe driving behavior associated with the driver risk group may be identified. in response to a third-party query regarding a vehicle operator in the driver risk group, an indication of the safe driving behavior associated with the driver risk group may be provided to the third party.
