Behavior-Based Vehicle Driver Identification for Phone Restrictions
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Solution Overview
Problem
Conventional methods for identifying a vehicle driver require expensive biometric sensors or manual intervention, and there is a need for a cost-effective and efficient way to manage driver mobile phone use during vehicle operation to enhance safety.
Innovation Solution
A method and apparatus that utilize vehicle data to compile a candidate driver identification profile (DIP) without biometric sensors, comparing it to pre-stored profiles, and applying restrictions to mobile devices based on match determinations, using algorithms to monitor driver behavior and vehicle data for accurate identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric sensors are used to identify the driver, then driver identification accuracy is improved, but system cost increases
Solution Approach 1:
The patent creates a behavioral copy or profile of the driver's driving patterns, vehicle usage habits, and operational characteristics. Instead of using expensive biometric sensors, the system compiles a candidate driver identification profile based on observed behavioral data and compares it to pre-stored profiles. This copying approach achieves accurate driver identification while avoiding the high costs associated with biometric hardware.
2Measurement precision
If manual intervention is used to identify the driver, then driver identification accuracy is improved, but productivity decreases
Solution Approach 1:
The system performs driver identification automatically through self-service mechanisms. The driver's behavioral data is continuously collected and processed by the system without requiring manual intervention. The candidate profile is automatically compiled from vehicle data, automatically compared to pre-stored profiles, and the match is determined autonomously, thereby maintaining high accuracy while significantly improving identification speed and operational efficiency.
3Device complexity
If driver identification is not implemented, then device complexity is reduced, but safety deteriorates due to unchecked mobile phone use
Solution Approach 1:
The system performs preliminary driver identification and profile matching before allowing mobile device operations. By compiling the candidate driver identification profile in advance and comparing it to pre-stored profiles, the system determines the driver's identity proactively. This preliminary action enables the system to pre-establish appropriate restrictions on mobile phone use based on the identified driver, thereby preventing unsafe behaviors before they occur while maintaining relative system simplicity.
Data Source
AI summary
A method and apparatus are disclosed that identify a motor vehicle operation and whether a driver is operating a mobile device. One example of operation may include a method that includes receiving vehicle data based on active operation of a vehicle and compiling a candidate driver identification profile (DIP) based on the received vehicle data. The method may also include comparing the candidate DIP to a pre-stored DIP and determining a match between the candidate DIP and the pre-stored DIP. The method may also include applying a restriction to a mobile station operated by a driver of the vehicle responsive to the match determination.