Dynamic Geofence V2X Message Filtering
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Solution Overview
Problem
Current Vehicle-to-Everything (V2X) systems face challenges in providing comprehensive and timely safety information due to limited range of Roadside Units (RSUs), leading to high deployment costs and inadequate coverage, which can result in delayed warnings for vehicles, especially at high speeds.
Innovation Solution
A V2X object exchange system generates and maintains dynamic geofences around client devices to filter relevant messages based on their current position, speed, and environmental parameters, using Multi-Access Edge Computing (MEC) and 5G NR connections to ensure low latency and high processing capacity, enabling efficient message forwarding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Roadside Units (RSUs) are deployed to provide safety information to vehicles, then vehicle safety is improved, but deployment costs increase and coverage remains inadequate due to limited RSU range
Solution Approach 1:
The system segments the safety information provision function between RSUs (infrastructure side) and client devices (vehicle side). RSUs broadcast safety information within their limited range, while client devices receive and process this information locally. This segmentation allows the system to achieve comprehensive coverage without requiring dense RSU deployment, thereby reducing deployment costs while maintaining vehicle safety.
2Area of stationary object
If more RSUs are deployed to expand coverage, then safety information coverage is improved, but deployment costs increase
Solution Approach 1:
The system transitions from a purely infrastructure-centric coverage model to a client-device-enabled coverage model. By empowering client devices with reception and processing capabilities, coverage extends beyond the physical range of RSUs. This dimensional shift from infrastructure-only to distributed client-infrastructure collaboration enables expanded coverage area without proportionally increasing RSU deployment costs.
3Reliability
If safety information is processed centrally, then system control is improved, but processing time increases causing delayed warnings
Solution Approach 1:
Client devices perform preliminary processing of safety information locally upon receipt from RSUs. The system pre-configures client devices with necessary processing capabilities and algorithms, enabling them to immediately analyze and act on safety information without waiting for centralized processing. This preliminary local action reduces warning delay while maintaining system control through coordinated architecture.
Solution Approach 2:
The system introduces client devices as intermediaries between RSUs and the final safety response. Client devices receive safety information from RSUs, process it locally, and generate appropriate responses or alerts. This intermediary layer enables faster local decision-making compared to centralized processing, reducing warning delay while maintaining overall system control through the coordinated RSU-client device architecture.
Data Source
AI summary
A device may include a memory storing instructions and processor configured to execute the instructions to select a vehicle attached to a base station; determine a speed and a vehicle type associated with the vehicle; and calculate an estimated braking distance for the vehicle based on the speed and the vehicle type. The processor may be further configured to generate a geofence for the vehicle based on the calculated estimated braking distance; use the generated geofence to identify at least one relevant Vehicle-to-Everything (V2X) message to be forwarded to the vehicle; and forward the identified at least one relevant V2X message to the vehicle via the base station.