Autonomous Vehicle Coordination Using V2V, V2I, and V2P Messaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current autonomous driving systems lack comprehensive integration with vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-pedestrian (V2P) communication, limiting their ability to achieve safe and efficient traffic flow and collision avoidance in complex environments, especially in adverse weather conditions and with multiple vehicles and pedestrians.
Innovation Solution
Implementing a system that integrates V2V, V2I, and V2P communication to enable autonomous vehicles and manually operated vehicles to share information and operate in a cohesive environment, using redundant sensor systems and standardized communication protocols to ensure safe driving behaviors and collision avoidance, including the use of radio-frequency messaging for real-time data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous driving systems use basic sensor systems without V2V, V2I, and V2P communication integration, then device complexity is reduced, but safety and collision avoidance capability deteriorate in complex environments
Solution Approach 1:
The patent combines multiple communication systems (V2V, V2I, V2P) with existing autonomous vehicle sensor systems into a unified communication framework. This merging allows the system to integrate data from diverse sources including other vehicles, infrastructure, and pedestrians, thereby improving safety and collision avoidance capability while managing complexity through standardized protocols and a cohesive architectural approach.
Solution Approach 2:
The communication system is designed with multi-functionality to handle various communication scenarios (vehicle-to-vehicle, vehicle-to-infrastructure, vehicle-to-pedestrian) using a unified framework. This universal design allows the same system architecture to serve multiple safety functions including collision avoidance, traffic flow optimization, and environmental awareness, thereby improving reliability without proportionally increasing complexity.
2Productivity
If autonomous vehicles operate without comprehensive V2V, V2I, and V2P communication, then device complexity is lower, but traffic flow efficiency and safety in adverse weather conditions worsen
Solution Approach 1:
The system performs preliminary actions by continuously exchanging communication data with other vehicles, infrastructure, and pedestrians before critical situations arise. This proactive information sharing allows the autonomous vehicle to anticipate potential hazards, plan trajectories in advance, and optimize traffic flow efficiency by coordinating movements with surrounding entities, thereby improving productivity while justifying the communication system complexity through preventive safety measures.
3Reliability
If autonomous driving systems lack standardized communication protocols for V2V, V2I, and V2P messaging, then ease of manufacture is improved, but reliability and data exchange effectiveness deteriorate
Solution Approach 1:
The patent employs standardized communication protocols that define specific parameters for data exchange including message formats, transmission frequencies, data structures, and communication timing. By establishing fixed parameters for V2V, V2I, and V2P messaging, the system ensures reliable and consistent data exchange across different vehicles and infrastructure components, thereby improving reliability while making implementation more straightforward through standardized specifications.
4Measurement precision
If autonomous vehicles use redundant sensor systems with V2V, V2I, and V2P communication integration, then measurement precision and safety improve, but use of energy and device complexity increase
Solution Approach 1:
The system implements partial redundancy by selectively activating communication channels and sensor systems based on environmental conditions and operational context. Rather than continuously operating all V2V, V2I, and V2P communication channels at full capacity, the system activates appropriate channels only when needed for safety-critical functions, thereby improving measurement precision and safety while reducing overall energy consumption through conditional and context-aware operation of redundant systems.
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.