Dynamic Vehicle Communication Path Selection
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Solution Overview
Problem
Current communication path management for vehicles is inflexible and unable to adapt to changing situations, such as vehicle movement, leading to suboptimal data transmission due to fixed data reduction methods.
Innovation Solution
A communication path managing method and system that analyzes multiple evaluation items of connected paths, identifies the vehicle's demand situation using sensing data, and selects the best path based on item importance information, ensuring efficient data transmission by dynamically adapting to the vehicle's movement and changing needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data amount is reduced to speed up response and reduce latency, then communication speed is improved, but data transmission completeness deteriorates
Solution Approach 1:
The patent implements dynamic data reduction strategies that adapt to different driving scenarios. The system dynamically adjusts the amount and type of data transmitted based on real-time driving conditions, vehicle state, and communication path characteristics, rather than applying a fixed data reduction rule. This allows the system to maintain data completeness when needed while achieving speed improvements when appropriate.
Solution Approach 2:
The system changes multiple parameters simultaneously including data reduction ratio, communication path selection, and transmission frequency based on the identified driving scenario. By adjusting these parameters dynamically, the system optimizes the balance between communication speed and data completeness for each specific situation.
2Device complexity
If a fixed communication path is used, then system complexity is reduced, but adaptability to different driving situations deteriorates
Solution Approach 1:
The system automatically identifies driving scenarios using onboard sensors and communication data, then autonomously selects the appropriate communication path and data reduction strategy without requiring manual intervention. This self-service approach enables complex adaptive behavior while keeping the user interface simple.
Solution Approach 2:
The system continuously monitors driving conditions, vehicle state, and communication performance, then uses this feedback to dynamically adjust communication path selection and data transmission parameters. This closed-loop control enables the system to adapt to changing situations while maintaining manageable complexity through automated decision-making.
3Productivity
If data reduction is applied universally, then communication efficiency is improved, but communication quality in critical situations deteriorates
Solution Approach 1:
The patent applies different data reduction strategies to different types of data based on their importance and the current driving scenario. Critical data such as safety-related information receives minimal or no reduction, while non-critical data undergoes more aggressive reduction. This localized quality approach ensures communication efficiency is improved overall while reliability is maintained for important data.
Solution Approach 2:
The system applies partial data reduction in normal situations to maintain efficiency, but switches to excessive data transmission (minimal reduction) when critical situations are detected. This variable action level allows the system to optimize for efficiency when appropriate and ensure reliability when needed.
Data Source
AI summary
A communication path managing method and a communication path managing system are provided. The communication path managing method includes the following steps: A plurality of communication paths connected to a vehicle are provided. A plurality of evaluation items of each of the communication paths are analyzed. A demand situation of the vehicle is identified according to a sensing data of the vehicle. An item importance information is obtained according to the demand situation. At least one of the communication paths is selected according to the evaluation items based on the item importance information.