In-Vehicle Function Recommendation via Driving Data Analysis
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Solution Overview
Problem
Existing in-vehicle systems fail to effectively present functions tailored to a driver's specific driving style or interests, leading to underutilization of available features, especially when a driver transitions to a new vehicle.
Innovation Solution
A data communication system comprising a function management server and an in-vehicle system that acquires driving data, inquiry information, and comment information to specify and distribute recommend functions to the driver, ensuring that functions effective for driving and of interest are presented, with the option to pre-install software for new vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the in-vehicle system provides all available functions to the driver, then the completeness of vehicle features is improved, but the driver cannot identify which functions are relevant to their specific driving style or needs
Solution Approach 1:
The patent segments the complete set of vehicle functions into personalized subsets based on driving style analysis. The function management server divides available functions into categories and recommends specific subsets tailored to each driver's characteristics, making the information manageable and relevant rather than presenting all functions at once.
Solution Approach 2:
The function management server acts as an intermediary between the vehicle's complete function set and the driver. It analyzes driving data, determines driving styles, and mediates by recommending appropriate function subsets, thus bridging the gap between available features and driver needs without requiring direct driver analysis of all functions.
2Adaptability or versatility
If the in-vehicle system presents personalized function recommendations, then the relevance to driver needs is improved, but the system complexity increases due to data acquisition and analysis requirements
Solution Approach 1:
The function management server serves as an intermediary that handles the complex tasks of data acquisition, driving style determination, and function recommendation. This externalizes the complexity from the in-vehicle system to a cloud-based server, allowing the vehicle to provide personalized recommendations without bearing the full computational burden.
Solution Approach 2:
The system performs preliminary actions by acquiring driving data and determining driving styles in advance, before presenting function recommendations to the driver. The function management server prepares personalized function subsets based on analyzed driving patterns, so that when functions are recommended, they are already tailored to the driver's proven behavior patterns.
3Measurement precision
If the system acquires and analyzes driving data to specify recommend functions, then the precision of function recommendations is improved, but the time required for data processing increases
Solution Approach 1:
The system performs driving style determination and function specification in advance through preliminary data processing. The function management server analyzes driving data and determines driving styles before the driver needs function recommendations, pre-computing personalized function subsets to reduce real-time processing delays.
Solution Approach 2:
The system implements feedback mechanisms where driving data is continuously acquired and analyzed to refine driving style determinations. The function management server uses feedback from ongoing driving behavior analysis to progressively improve the precision of function recommendations while optimizing processing efficiency through learned patterns.
Data Source
AI summary
A data communication system includes: a function management server that manages a function related to a vehicle; and an in-vehicle system mounted in the vehicle. The function management server and the in-vehicle system perform data communication with each other. The function management server acquires driving data of the driver from the in-vehicle system, specifies a recommend function, and distributes the recommend function information related to the specified recommend function to the in-vehicle system. When the in-vehicle system receives the recommend function information distributed from the function management server, the in-vehicle system presents the recommend function specified by the received recommend function information to the driver.