Connected Vehicle Instruction Prefetch for Low-Coverage Zones
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Connected vehicles face safety risks due to variable network coverage, particularly in zones with low or zero network connectivity, which can degrade autonomous driving and driver assist services by preventing timely information transmission.
Innovation Solution
A method that pre-emptively transmits driving instructions to connected vehicles approaching zones with low network coverage, using detection and prediction modules to ensure continued safe operation by adjusting driving modes or itineraries based on network capacity needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If connected vehicles rely on real-time network communication for autonomous driving and driver assist services, then the quality of driving assistance and safety monitoring is improved, but the system becomes vulnerable to service degradation in zones with low or zero network coverage
Solution Approach 1:
The system performs preliminary actions by detecting low network coverage zones in advance and proactively transmitting essential driving instructions and data before the vehicle enters these zones. This ensures that critical information is cached locally, maintaining autonomous driving functionality even when network connectivity is lost or degraded.
2Speed
If the system transmits driving instructions in real-time during low network coverage zones, then the responsiveness to current situations is improved, but the latency and information loss increase due to network limitations
Solution Approach 1:
The system anticipates entry into low network coverage zones and transmits necessary driving instructions, map data, and environmental information in advance while network connectivity is still adequate. This preliminary data transmission ensures that the vehicle has sufficient information to operate autonomously without requiring real-time updates during the low coverage zone.
Solution Approach 2:
The system dynamically adjusts data transmission parameters such as update frequency, data volume, and priority levels based on the detected network coverage conditions. In low coverage zones, the system reduces transmission frequency and prioritizes critical safety information, optimizing the balance between information completeness and transmission reliability.
3Adaptability or versatility
If the system continuously monitors and adapts to network coverage conditions, then the adaptability to varying environments is improved, but the complexity of the communication management system increases
Solution Approach 1:
The system implements self-service mechanisms where the vehicle autonomously detects network coverage conditions, determines its own data needs, and manages local caching without requiring complex external coordination. The vehicle independently adjusts its communication strategy based on pre-defined thresholds and algorithms, reducing the need for sophisticated centralized management.
Solution Approach 2:
The system uses configurable parameters and thresholds for network coverage detection and response triggers. These parameters can be adjusted based on vehicle type, driving mode, and service requirements, providing adaptability without requiring complex decision-making logic. The system transitions between operational modes based on simple parameter comparisons rather than complex algorithms.
Data Source
AI summary
A method for assisting the movement of a connected vehicle which is able to travel on a road network and able to communicate via a communication network having a variable network coverage level. The method includes, on the approach to a zone having a network coverage level which is below a given level, a step of pre-emptively transmitting at least one piece of information relating to the driving instructions which are intended for the connected vehicle in the zone concerned.