Autonomous Vehicle Rule Sharing for Mixed-Traffic Coordination
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Solution Overview
Problem
Existing autonomous driving systems lack the ability to seamlessly integrate with both autonomous and non-autonomous vehicles, as well as with infrastructure and pedestrians, to achieve safe and efficient traffic flow in complex environments.
Innovation Solution
The integration of Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Pedestrian (V2P) communication systems, which enable vehicles and infrastructure to share information about their status, location, and intentions, allowing for coordinated and safe driving behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous driving systems use traditional sensor-based detection methods, then they can operate independently without infrastructure support, but they fail to achieve seamless integration with other vehicles and infrastructure in complex environments
Solution Approach 1:
The patent introduces communication systems (V2V, V2I, V2P) as intermediary layers between autonomous vehicles and their environment. These communication channels enable information exchange about status, location, and intentions, allowing vehicles to coordinate safely without requiring complex direct sensing of all environmental factors. The communication intermediary resolves the contradiction by providing a standardized interface that enhances adaptability while managing system complexity through protocol-based interactions.
2Reliability
If autonomous vehicles rely solely on onboard sensors for environment perception, then they maintain system simplicity, but they cannot achieve safe operation in all weather conditions and complex intersections
Solution Approach 1:
The patent merges multiple information sources including onboard sensors, V2V communications from other vehicles, V2I communications from infrastructure, and V2P communications from pedestrians into a unified perception system. This combination allows the vehicle to achieve reliable safety performance in complex environments and all weather conditions by compensating for the limitations of any single detection method through data fusion from multiple channels.
3Productivity
If the system implements comprehensive V2V, V2I, and V2P communication protocols, then traffic flow efficiency improves, but information processing requirements and computational load increase
Solution Approach 1:
The patent extracts and processes only the most critical information from communication data streams, such as status, location, and intentions of other road users. By selectively extracting essential information rather than processing all available data, the system maintains high traffic flow efficiency through effective coordination while managing computational energy consumption through focused information processing.
4Adaptability or versatility
If autonomous vehicles use advanced obstacle detection and path planning algorithms, then they can navigate complex environments, but they lack coordination with other vehicles leading to reduced overall traffic efficiency
Solution Approach 1:
The patent implements feedback mechanisms where vehicles continuously exchange information about their status, location, and intentions with other vehicles and infrastructure through V2V, V2I, and V2P communications. This feedback loop enables coordinated path planning and navigation decisions that consider the actions of all road users, thereby maintaining individual navigation capability while significantly improving overall traffic flow efficiency through cooperative behavior.
Data Source
AI summary
Autonomous and manually operated vehicles are integrated into a cohesive, interactive environment, with communications to each other and to their surroundings, to improve traffic flow while reducing accidents and other incidents. All vehicles send/receive messages to/from each other, and from infrastructure devices, enabling the vehicles to determine their status, traffic conditions and infrastructure. The vehicles store and operate in accordance with a common set of rules based upon the messages received and other inputs from sensors, databases, and so forth, to avoid obstacles and collisions based upon current and, in some cases, future or predicted behavior. Shared vehicle control interfaces enable the AVs to conform to driving activities that are legal, safe, and allowable on roadways. Such activities enable each AV to drive within safety margins, speed limits, on allowed or legal driving lanes and through allowed turns, intersections, mergers, lane changes, stops/starts, and so forth.