Driving Behavior Scoring for Unsafe Vehicle Operation Detection
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Solution Overview
Problem
Autonomous vehicles are prone to accidents and erratic maneuvers due to differences in navigation platforms, risk assessment protocols, and collision avoidance systems, and there is a lack of standardization, leading to unsafe driving behaviors that can result in accidents or injuries.
Innovation Solution
A system and method that use transceivers and processors to determine driving scores based on observed behavior, generating an indication of unsatisfactory driving if scores exceed a threshold, and providing this information to entities such as drivers, owners, or law enforcement, using various communication channels like 5G NR systems and DSRC channels, to limit vehicle operations or alert other vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous vehicles use different navigation platforms and risk assessment protocols, then vehicle functionality and adaptability are improved, but driving safety and behavior consistency deteriorate
Solution Approach 1:
The patent applies homogeneity by establishing a standardized risk assessment protocol that all autonomous vehicles must follow. This standardization ensures consistent driving behavior across different vehicles while maintaining compatibility with various navigation platforms. The unified protocol creates homogeneous assessment criteria that override platform-specific variations, thereby improving driving safety without sacrificing adaptability.
2Reliability
If driving behavior monitoring is continuously performed, then driving safety is improved, but system complexity and energy consumption increase
Solution Approach 1:
The patent implements continuous driving behavior monitoring with feedback mechanisms that provide real-time assessment of driving safety. The system continuously collects data on vehicle operations, compares actual behavior against the standardized risk assessment protocol, and generates feedback signals when unsafe conditions are detected. This feedback loop enables proactive safety management while managing system complexity through structured assessment criteria.
Solution Approach 2:
The monitoring system applies partial action by focusing assessment on critical driving parameters and high-risk situations rather than continuously analyzing all vehicle operations. The risk assessment protocol identifies and prioritizes key safety-critical behaviors, enabling the system to achieve comprehensive safety monitoring while reducing computational complexity and energy consumption by not uniformly processing all possible data streams.
3Stability of the object's composition
If strict driving standards are enforced, then driving behavior consistency is improved, but ease of operation and driver flexibility deteriorate
Solution Approach 1:
The patent applies dynamics by creating an adaptive monitoring system that adjusts its enforcement strictness based on contextual factors. The risk assessment protocol evaluates driving behavior against standardized criteria but allows for dynamic adjustments based on environmental conditions, traffic situations, and vehicle-specific characteristics. This dynamic approach maintains behavior consistency for safety-critical parameters while providing flexibility for non-critical operational variations.
Data Source
AI summary
Systems and methods for determining whether a vehicle is driving in an unsafe or unsatisfactory manner are disclosed. In some implementations, a system may determine one or more driving scores for a vehicle based on observations of a driving behavior of the vehicle during a time period. The system may generate an indication of unsatisfactory driving based on at least one of the one or more driving scores exceeding a threshold value. The system may provide the indication of unsatisfactory driving to one or more entities. In some aspects, the system may identify one or more dangerous driving attributes exhibited by the vehicle during the time period based on the observations received from the one or more devices. The system may also generate the indication of unsatisfactory driving based at least in part on the identified dangerous driving attributes.