Host Vehicle Collision Avoidance via Relative Position Codes
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Solution Overview
Problem
Existing vehicle navigation systems lack effective methods to determine whether the expected path of a remote vehicle converges with that of a host vehicle, leading to potential collisions and inefficiencies in traversing a vehicle transportation network.
Innovation Solution
A system and method where a host vehicle processes remote vehicle messages to determine relative position and dynamic state codes, enabling identification of vehicle control actions for safe passage and collision avoidance by analyzing geospatial and kinematic information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle navigation systems use basic path tracking without convergence analysis, then the system complexity remains low, but collision risk increases and navigation safety deteriorates
Solution Approach 1:
The system performs preliminary determination of whether remote vehicle expected paths converge with host vehicle expected paths before actual collision risk materializes. By analyzing geospatial location data and dynamic state codes in advance, the system identifies convergent paths proactively, allowing preventive control actions to be taken rather than reactive responses, thereby improving safety without proportionally increasing complexity
Solution Approach 2:
The patent introduces an intermediary convergence determination mechanism that processes remote vehicle information (geospatial location, dynamic state) and translates it into convergence assessments. This intermediary layer analyzes relative position codes and dynamic state codes to determine path convergence, acting as a mediator between raw sensor data and collision avoidance decisions, thereby managing system complexity while enhancing reliability
2Measurement precision
If the system processes detailed geospatial and dynamic state information from remote vehicles, then collision detection accuracy improves, but information processing time and computational load increase
Solution Approach 1:
The system segments remote vehicle information processing into distinct components: geospatial location data processing, dynamic state code processing, and convergence determination. By dividing the information processing task into separate analytical stages, the system can process each element efficiently and independently, maintaining high detection accuracy while managing computational time through structured data handling
Solution Approach 2:
The system processes only the essential partial set of information needed for convergence determination - specifically relative position codes and dynamic state codes - rather than analyzing all possible vehicle parameters. This selective processing approach achieves sufficient collision detection accuracy without the computational overhead of complete vehicle state analysis, reducing processing time while maintaining necessary precision
3Reliability
If the host vehicle continuously monitors and adjusts its path based on remote vehicle positions, then collision avoidance effectiveness improves, but navigation efficiency and travel time may deteriorate
Solution Approach 1:
The system dynamically adjusts host vehicle control actions based on real-time convergence assessments of expected paths. When convergence is detected, the system applies appropriate control actions (such as path adjustments or speed modifications); when no convergence exists, normal navigation proceeds uninterrupted. This dynamic, conditional approach ensures collision avoidance effectiveness while maintaining navigation efficiency by avoiding unnecessary interventions
Solution Approach 2:
The system implements a feedback mechanism where convergence determination results directly influence subsequent control actions. The continuous monitoring loop processes remote vehicle information, determines convergence status, and adjusts host vehicle behavior accordingly. This feedback-driven approach optimizes the balance between safety and efficiency by applying control actions only when convergence is detected, rather than continuous intervention that would reduce navigation efficiency
Data Source
AI summary
A method and apparatus for use in traversing a vehicle transportation network may include receiving, from a remote vehicle, via a wireless electronic communication link, a remote vehicle message, the remote vehicle message including remote vehicle information, determining a relative position code indicating geospatial location of the remote vehicle relative to the host vehicle based the remote vehicle information, determining a remote vehicle dynamic state code based on the remote vehicle information, determining a host vehicle dynamic state code; identifying a vehicle control action based on the relative position code, the remote vehicle dynamic state code, and the host vehicle dynamic state code, and traversing a portion of the vehicle transportation network in accordance with the vehicle control action, such that traversing the portion of the vehicle transportation network includes performing passing lane collision avoidance.