Autonomous Vehicle Strategy Modes for Mixed-Traffic Coordination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current autonomous vehicle technologies lack effective methods for safe and efficient operation in environments shared with non-autonomous vehicles, as they do not adequately address interoperability and coordination between different levels of autonomy, leading to potential safety issues and operational inefficiencies.
Innovation Solution
The implementation of a strategy mode selection system for autonomous vehicles, which includes uncoupled, permissive, assistive, and preventative modes, allowing vehicles to adjust their actions based on detected information about other vehicles and the environment to ensure safe and efficient operation, using broadcasting and sensing devices for communication and coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate with high autonomy levels without coordination strategies, then individual vehicle performance is improved, but safety and efficiency in shared environments deteriorate
Solution Approach 1:
The patent introduces strategy modes as intermediary behavioral frameworks that mediate between autonomous vehicle operations and non-autonomous vehicle environments. These modes (uncoupled, permissive, assistive, preventative) act as communication intermediaries that translate autonomous vehicle intentions into actions that are safe and predictable for human drivers, thereby maintaining high autonomy while improving safety in shared environments.
Solution Approach 2:
The patent implements dynamic strategy mode selection that adapts to changing environmental conditions, traffic situations, and interaction contexts. The autonomous vehicle can transition between different strategy modes in real-time based on detected conditions, allowing the system to maintain high autonomy levels while dynamically adjusting behavior to ensure safety and efficiency in shared environments.
2Reliability
If autonomous vehicles use multiple strategy modes for coordination, then safety and efficiency in shared environments are improved, but system complexity increases
Solution Approach 1:
The patent segments the autonomous vehicle's operational behavior into distinct, well-defined strategy modes (uncoupled, permissive, assistive, preventative). Each mode represents a specific behavioral paradigm with clear rules and decision-making logic. This segmentation reduces system complexity by organizing complex coordination tasks into manageable, modular components that can be independently implemented and tested.
Solution Approach 2:
The patent applies different strategy modes locally to specific interaction contexts and environmental conditions. Rather than using a single complex control system for all situations, the vehicle selects appropriate strategy modes based on local conditions such as traffic density, road type, and presence of vulnerable road users. This local quality approach simplifies the overall system by allowing specialized behavior for each context.
3Productivity
If autonomous vehicles detect and respond to other vehicles in real-time, then operational efficiency and safety are improved, but information processing requirements increase
Solution Approach 1:
The patent implements preliminary classification of detected vehicles and environments into categories that map to specific strategy modes. Rather than processing all possible information about every vehicle in real-time, the system pre-establishes classification frameworks and decision rules that allow rapid determination of appropriate strategy modes based on key identifying features, thereby reducing information processing requirements while maintaining operational efficiency.
Data Source
Figure 1
Figure 2A~2D
Figure 3A~3D
AI summary
Systems and methods for operating autonomous vehicles are described. An autonomous vehicle may detect strategy modes and/or actions of other vehicles in a local environment. The autonomous vehicle may then select a strategy mode for its operations based on the detected strategy modes and/or actions of other vehicles, and based on an operational goal for the autonomous vehicle. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle may further select an action for its operations based on the selected strategy mode.