Vehicle Driving Support System Personalized Position Recommendation
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Solution Overview
Problem
Existing vehicle driving support systems uniformly specify stop positions based on map and traffic information, failing to account for individual driver habits and varying conditions, leading to inefficient and complex support that excludes operations outside designated areas.
Innovation Solution
An information processing system that stores and analyzes driver-specific operation patterns within predetermined areas, determining recommended positions by considering operations both inside and outside these areas, allowing for personalized and accurate driving support even when operations extend beyond the support zone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform stop position specification based on map and traffic information is used, then the driving support system can be simplified, but the accuracy and suitability of driving support for individual drivers deteriorates
Solution Approach 1:
The invention segments the driving support function by dividing it into uniform base support (map/traffic information) and personalized adaptive support (driver-specific patterns). The system processes different types of information separately and combines them, allowing simplified uniform support while adding personalized accuracy without overwhelming system complexity.
Solution Approach 2:
The system dynamically adapts the driving support by transitioning from static uniform specifications to dynamic personalized recommendations. It learns and updates driver-specific patterns over time, adjusting support accuracy based on individual driver behavior while maintaining system simplicity through automated adaptation.
2Device complexity
If driving support is limited to operations within predetermined areas, then the support system can be simplified, but the coverage and effectiveness of driving support deteriorates when operations occur outside these areas
Solution Approach 1:
The system achieves multi-functionality by designing the support area management to handle both intra-area and extra-area operations through a unified framework. The same pattern recognition and recommendation mechanisms work whether operations occur inside or outside predetermined areas, eliminating the need for separate management systems while expanding coverage.
Solution Approach 2:
The system performs preliminary learning of driver patterns across all areas before providing support. By pre-acquiring driver behavior data and establishing baseline patterns, the system can accurately support operations outside predetermined areas without requiring complex real-time adjustments, maintaining simplicity while expanding versatility.
3Measurement precision
If driver-specific patterns are acquired and analyzed, then the accuracy of driving support improves, but the data processing and system complexity increases
Solution Approach 1:
The system implements self-service by enabling drivers to automatically contribute to their own profile development. Through automated data collection from vehicle sensors and driver actions, the system builds personalized patterns without requiring manual input or complex external processing. The driver's own behavior data serves the system's learning needs, reducing external complexity while improving accuracy.
Solution Approach 2:
The system uses feedback loops where driver responses to support recommendations are continuously monitored and fed back into the pattern recognition system. This automated feedback mechanism refines driver-specific patterns over time, improving accuracy through iterative learning while keeping data processing manageable through systematic feedback integration.
Data Source
AI summary
Disclosed is an information processing system for a vehicle that calculates a recommended position of a driving operation in a predetermined area in which the driving operation is supported. The information processing system for a vehicle includes storage means for storing driving operation information of a driver and position information of the vehicle in each predetermined area so as to be associated with each other. The information processing system for a vehicle specifies a driving operation pattern of the predetermined area considering the state of the driving operation over the inside and outside of the predetermined area and determines the recommended position of the driving operation in the predetermined area according to the specified driving operation pattern, on the basis of the information stored in the storage means. According to this structure, even when some driving operations of a driving operation group included in the driving operation pattern are performed outside the area, it is possible to specify the driving operation pattern, determine the recommended position of the driving operation, and perform high-accuracy driving support suitable for the driver.