Adaptive Driving Assistance Using Zone-Based Driver Risk Indexing
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Solution Overview
Problem
Conventional driver assistance systems do not provide customized driving assistance based on driver and/or road associated parameters, limiting their effectiveness in providing advanced assistance to users.
Innovation Solution
A vehicle driving assistance system that provides customized driving assistance by calculating a user driving index based on vehicle information and a zone index based on road information, correlating these indices to determine a driver assistance index for each geographical zone, and performing control actions when the index exceeds a predetermined threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional driver assistance systems use real-time traffic conditions and vehicle movement data, then basic driving assistance is provided, but customized driving assistance based on driver and road parameters is not achieved
Solution Approach 1:
The system segments the road into multiple geographical zones and calculates a zone index for each zone based on historical adverse instances and average vehicle count. This segmentation allows customized assistance to be provided for different road sections rather than applying a uniform approach, resolving the contradiction by enabling customization through spatial division without requiring complete system redesign
Solution Approach 2:
The system pre-calculates zone indices for different geographical zones using historical data before the actual driving trip. This preliminary action stores road safety characteristics in advance, allowing the system to quickly retrieve and apply customized assistance parameters during driving without real-time computation overhead, thus achieving customization without proportional increase in real-time system complexity
2Measurement precision
If the system calculates driver assistance index for each geographical zone, then customized driving assistance is provided, but data processing complexity increases
Solution Approach 1:
The system pre-calculates and stores zone indices for all geographical zones using historical adverse instance data and average vehicle count information before the driving trip begins. This preliminary computation of road safety metrics allows the system to quickly retrieve pre-computed values during actual driving without performing complex real-time calculations, thereby achieving precise zone-specific assistance while minimizing real-time data processing complexity
Solution Approach 2:
The system automatically correlates the user driving index with pre-stored zone indices to compute the driver assistance index for each zone without requiring manual intervention or complex external processing. This self-service computation uses readily available data (user behavior from vehicle sensors and pre-computed zone safety indices) to generate customized assistance parameters, achieving measurement precision through automated correlation of existing data streams
Data Source
AI summary
A vehicle driving assistance system is disclosed. The system may include a transceiver configured to receive a source location and a destination location for a user trip, a user driving information and road information associated with a plurality of geographical zones between the source location and the destination location. The system may further include a processor configured to calculate a user driving index based on the user driving information. Further, the processor may be configured to calculate a zone index for each geographical zone based on the road information. The processor may be further configured to correlate the user driving index and the zone index, and calculate a driver assistance index for each geographical zone based on the correlation. The processor may perform a control action when the calculated driver assistance index is greater than a predetermined threshold.