Driver Characteristics Data Transfer Across Multiple Vehicles
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Solution Overview
Problem
Existing systems fail to efficiently manage and transfer driving-characteristics data across different vehicles for the same driver, limiting the consistency and effectiveness of driving assistance.
Innovation Solution
A control method executed by a computer that coordinates with multiple vehicles, receiving and transferring personal-characteristics data of a driver between vehicles for improved driving assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driving-characteristics data is collected and stored separately in each vehicle, then data security and vehicle-specific customization are improved, but data consistency and assistance effectiveness across different vehicles deteriorate
Solution Approach 1:
The system segments driving-characteristics data into two parts: personal-characteristics data (driver-specific information) and vehicle-specific data. Personal-characteristics data is extracted and transferred between vehicles, while vehicle-specific data remains local. This segmentation allows the same driver's data to be applied across different vehicles while maintaining vehicle-specific customization capabilities.
Solution Approach 2:
The system introduces an intermediary mechanism (data transfer processing unit) that extracts personal-characteristics data from the driver database and transfers it to subsequent vehicles. This intermediary enables data consistency across vehicles while maintaining security through controlled transfer processes and authentication mechanisms.
2Adaptability or versatility
If driving-characteristics data is transferred between vehicles, then assistance effectiveness and driver customization are improved, but system complexity and data management difficulty increase
Solution Approach 1:
The system extracts only the essential personal-characteristics data (driver behavior patterns, preferences, and characteristics) from the complete driving-characteristics database, separating it from vehicle-specific data. This extraction reduces data management complexity by focusing only on transferable personal information while leaving vehicle-specific data management simpler and more localized.
Solution Approach 2:
The system performs preliminary extraction and organization of personal-characteristics data before transfer occurs. The data is pre-processed, authenticated, and formatted in advance, which simplifies the actual transfer process and reduces the complexity of real-time data management during vehicle transitions.
3Adaptability or versatility
If personal-characteristics data is extracted and transferred, then driving assistance consistency for the same driver is improved, but data processing time and computational resources increase
Solution Approach 1:
The system extracts only the critical personal-characteristics data elements needed for driving assistance consistency, rather than transferring complete datasets. This selective extraction reduces processing time and computational resources while maintaining the essential driver-specific customization across vehicles.
Data Source
AI summary
A control method executable by a computer configured to cooperate with at least a first vehicle and a second vehicle, the control method includes receiving input of personal-characteristics data corresponding to a driver who drives the first vehicle, the personal-characteristics data being acquired by the first vehicle and being used for improving assistance of driving-characteristics of the driver, and when a predetermined condition is satisfied, outputting the personal-characteristics data corresponding to the driver such that the personal-characteristics data can be used by the second vehicle.