Automated Driving Rule Adaptation via Vehicle Behavior Observation
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Solution Overview
Problem
Automated vehicles' strict adherence to driving rules can inhibit traffic flow, as they may not adapt to local driving habits or deviations observed in other vehicles, leading to inefficiencies in traffic movement.
Innovation Solution
A driving-rule system for automated vehicles that includes a vehicle detector and controller to detect deviations in other vehicles' behavior and modify its own driving rules to align with local habits, using sensors and communication technologies to adjust parameters like following distance, passing rules, acceleration rate, and waiting times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated vehicles strictly adhere to driving rules, then safety and predictability are improved, but traffic flow efficiency deteriorates
Solution Approach 1:
The patent implements dynamic modification of driving rules by the controller based on real-time observations of other vehicles. The system transitions from static, pre-programmed driving rules to dynamic adaptation where the controller learns and adjusts driving behavior patterns observed in surrounding traffic, resolving the contradiction between strict rule adherence and traffic flow efficiency
Solution Approach 2:
The system employs feedback mechanisms where the vehicle detector continuously monitors other vehicles' behavior deviations from driving rules, and the controller uses this feedback information to modify its own driving rules. This closed-loop feedback system allows the automated vehicle to adapt to local driving habits while maintaining safety, improving traffic flow without compromising reliability
2Stability of the object's composition
If automated vehicles follow pre-programmed driving rules, then behavior predictability is improved, but adaptability to local driving habits deteriorates
Solution Approach 1:
The system transforms static driving rules into dynamic, adaptable guidelines. The controller continuously observes and learns from other vehicles' behavior patterns, modifying its driving rules to match local habits while maintaining consistent and predictable behavior through systematic adaptation rather than random changes
Solution Approach 2:
The automated vehicle performs self-learning and self-adjustment by observing other vehicles and automatically modifying its own driving rules. The controller serves itself by implementing learned behaviors without external intervention, enabling adaptability to local driving habits while maintaining operational consistency
Data Source
AI summary
A driving-rule system (10) suitable to operate an automated includes a vehicle-detector (16) and a controller (20). The vehicle-detector (16) is suitable for use on a host-vehicle (12). The vehicle-detector (16) is used to detect movement of an other-vehicle (14) proximate to the host-vehicle (12). The controller (20) is in communication with the vehicle-detector (16). The controller (20) is configured to operate the host-vehicle (12) in accordance with a driving-rule (22), detect an observed-deviation (24) of the driving-rule (22) by the other-vehicle (14), and modify the driving-rule (22) based on the observed-deviation (24).