Tailored V2X Network Connectivity for Contextual Entity Selection
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Solution Overview
Problem
Existing V2X networks do not effectively consider the contextual importance of various entities in making driving decisions, leading to unnecessary data volume and bandwidth consumption.
Innovation Solution
A system that receives real-time and historical data to identify required entities for a primary vehicle, creating a tailored V2X network by connecting the vehicle to only the necessary entities for a specific contextual situation, optimizing the network by reducing data volume and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a vehicle connects to all possible entities in a V2X network, then the comprehensiveness of driving decision-making is improved, but the data volume and network bandwidth consumption increase unnecessarily
Solution Approach 1:
The patent extracts and identifies only the specific entities that are relevant to the vehicle's current contextual situation and historical driving decisions. By filtering out unnecessary entities and extracting only the essential ones based on contextual analysis, the system reduces data volume while maintaining decision-making comprehensiveness.
Solution Approach 2:
The patent applies local quality by tailoring the V2X network connections specifically to each vehicle's contextual situation, historical driving patterns, and required entities. Instead of a uniform connection approach for all vehicles, the system customizes connections based on local contextual requirements, reducing overall data volume while maintaining necessary comprehensiveness.
2Adaptability or versatility
If a vehicle connects to all possible entities in a V2X network, then the comprehensiveness of driving decision-making is improved, but the network bandwidth consumption increases unnecessarily
Solution Approach 1:
The system extracts and identifies only the essential entities required for specific contextual situations, removing unnecessary entity connections. This extraction process reduces network bandwidth consumption by eliminating redundant data transmissions while preserving the comprehensiveness needed for safe driving decisions.
Solution Approach 2:
The patent applies partial action by establishing only the necessary connections to required entities rather than connecting to all possible entities. This partial connection approach consumes less network bandwidth while providing sufficient information for comprehensive driving decision-making in specific contextual situations.
3Quantity of substance
If a tailored V2X network is created by connecting only to required entities, then data volume and bandwidth consumption are reduced, but the system complexity increases due to contextual analysis requirements
Solution Approach 1:
The patent applies preliminary action by pre-processing and analyzing historical driving data to identify patterns and required entities before real-time operation. This preliminary analysis creates a knowledge base that simplifies real-time contextual analysis, reducing the perceived system complexity during actual vehicle operation while maintaining data volume reduction benefits.
Solution Approach 2:
The system uses feedback from historical driving decisions and contextual analysis to continuously refine entity identification. By incorporating feedback loops that learn from past driving situations, the system manages complexity through adaptive optimization rather than requiring complex real-time analysis for every decision.
Data Source
AI summary
An embodiment for connecting a vehicle to entities to form a tailored vehicle-to-everything (V2X) network is provided. The embodiment may include receiving real-time and historical data from one or more sources and an opt-in from a primary vehicle and one or more secondary vehicles. The embodiment may also include identifying one or more entity types that influenced a historical driving decision. The embodiment may further include identifying a contextual situation of one or more roadways in a geographical area. The embodiment may also include deriving one or more required entities for the primary vehicle to implement a driving decision on at least one roadway of the one or more roadways during a specific time period. The embodiment may further include creating a tailored V2X network for the primary vehicle. The embodiment may also include causing the primary vehicle to implement the driving decision.