Offboard Intersection Path Generation with Selective Updates
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Solution Overview
Problem
Traditional vehicle path prediction algorithms are not accurate for intersections due to varying turning radii and lack of intersection path information in map messages, making it difficult to predict vehicle paths and prevent collisions, especially with vulnerable road users.
Innovation Solution
A remote station that includes a transceiver, memory, and control module to store baseline static paths and update them based on road obstruction information, dynamic paths, and broadcast map messages with intersection path data, using V2X communication to enhance vehicle path prediction and collision avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vehicle path prediction algorithms are used, then the system is simple to implement, but the prediction accuracy is insufficient for intersections
Solution Approach 1:
The path prediction system is segmented into multiple components: baseline static path data storage, real-time dynamic path tracking, road obstruction information integration, and map message generation. This segmentation allows each component to specialize in specific tasks, improving overall prediction accuracy while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
Baseline static paths are pre-calculated and stored in the system before real-time operation. These pre-computed paths represent typical vehicle trajectories through intersections under normal conditions. By having this preliminary data ready, the system can quickly adjust to real-time conditions without performing complex calculations from scratch, thus improving response speed and accuracy.
2Reliability
If baseline static paths are updated in real-time with road obstruction information, then the path accuracy improves, but the computational load increases
Solution Approach 1:
The system updates path data selectively rather than continuously recalculating all paths. When road obstruction information is received, only the affected baseline paths are updated with new dynamic path data. This partial update approach maintains high reliability for affected routes while minimizing unnecessary computational energy consumption for unaffected routes.
Solution Approach 2:
The system automatically detects when road obstruction information is received and triggers updates only for affected baseline paths. The control module self-manages the update process by comparing obstruction information with stored baseline paths, identifying affected routes, and performing targeted updates without requiring external intervention or exhaustive system-wide recalculation.
3Reliability
If dynamic path tracking and comparison is performed, then the collision avoidance capability improves, but the processing time increases
Solution Approach 1:
Baseline static paths are pre-computed and stored before real-time operation. These baseline paths represent typical vehicle trajectories through intersections. By having this reference data ready in advance, the system can quickly compare actual vehicle positions against expected paths without performing complex real-time calculations, thus reducing processing time while maintaining collision avoidance reliability.
Solution Approach 2:
The system continuously tracks actual vehicle paths and compares them with baseline static paths, using the comparison results to update dynamic path information. This feedback mechanism allows the system to detect deviations from expected paths in real-time, enabling timely collision avoidance actions while optimizing processing efficiency through iterative refinement rather than exhaustive analysis.
Data Source
AI summary
A remote station includes a transceiver, a memory and a control module. The memory is configured to store (i) baseline static paths of vehicles moving through an intersection, and (ii) map data. The control module is configured to obtain road obstruction information, based on the baseline static paths and the map data, determine whether the road obstruction information affects one or more of the baseline static paths of the vehicles through the intersection and update the one or more baseline static paths based on the road obstruction information, and broadcast, via the transceiver, a map message indicating the updated one or more baseline static paths.