V2V Driving Behavior Scoring for Unsafe Interaction Analysis
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Solution Overview
Problem
Existing vehicle communication systems lack the ability to effectively analyze and score driving behaviors of vehicles and drivers, leading to unsafe interactions on the road.
Innovation Solution
Implementing vehicle-to-vehicle (V2V) communication systems to collect and analyze driving data, determine driving behaviors, and calculate driver scores based on positive or negative driving actions, using sensors and computing devices to assess interactions and adjust scores accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle-to-vehicle communication systems are implemented to collect and analyze driving data, then driving behavior analysis capability is improved, but system complexity increases
Solution Approach 1:
The system segments driving behavior analysis into multiple independent components: data collection module, data processing module, behavior determination module, and scoring module. Each component handles a specific aspect of the analysis process, making the overall system more manageable and less complex while maintaining high measurement precision for driving behavior assessment.
2Measurement precision
If multiple sensors and computing devices are used to analyze driving data from multiple vehicles, then accuracy of driving behavior determination is improved, but device complexity increases
Solution Approach 1:
The system merges data from multiple sensors and computing devices into a unified data processing framework. By combining information from various sources (vehicle sensors, communication systems, computing devices) and processing them through a centralized analysis system, the patent achieves high accuracy in driving behavior determination while managing device complexity through integrated architecture.
3Speed
If real-time analysis of driving data from multiple vehicles is performed, then responsiveness to unsafe driving behaviors is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing and filtering of driving data before full analysis. By pre-processing data streams, identifying relevant parameters, and preparing data structures in advance, the system can quickly analyze driving behaviors in real-time without excessive processing delays, thus improving responsiveness while managing computational resources efficiently.
Data Source
AI summary
One or more driving analysis computing devices in a driving analysis system may be configured to analyze driving data, determine driving behaviors, and calculate driver scores based on driving data transmitted using vehicle-to-vehicle (V2V) communications. Driving data from multiple vehicles may be collected by vehicle sensors or other vehicle-based systems, transmitted using V2V communications, and then analyzed and compared to determine various driving behaviors by the drivers of the vehicles. Driver scores may be calculated or adjusted based on the determined driving behaviors of vehicle drivers, and also may be calculated or adjusted based on other the driver scores of nearby vehicles.