Navigation System Accident Risk Assessment
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Solution Overview
Problem
Current navigation systems lack the ability to assess real-time driving characteristics and predict the likelihood of traffic accidents, failing to provide drivers with timely warnings to adjust their behavior and reduce accident risks.
Innovation Solution
A system that utilizes vehicle sensors to collect data on driving characteristics, determines a driving profile, categorizes it into a pattern category, and identifies route segments where the probability of a traffic accident exceeds a threshold, communicating notifications to the driver to adjust their behavior and avoid risky routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation systems provide basic route guidance, then drivers can reach destinations, but the systems cannot assess real-time driving characteristics or predict accident likelihood
Solution Approach 1:
The patent combines multiple existing technologies (sensors, GPS, processors, communication modules) into an integrated navigation system that performs real-time driving characteristic assessment. This merging approach enables comprehensive accident risk evaluation without requiring a completely new system architecture.
Solution Approach 2:
The navigation system performs multiple functions simultaneously: it provides basic route guidance, collects sensor data, analyzes driving characteristics, predicts accident likelihood, and communicates warnings. This multi-functionality allows the system to enhance safety while maintaining its primary navigation purpose.
2Measurement precision
If the system monitors real-time driving characteristics using sensors, then accident risk can be assessed, but data processing complexity increases
Solution Approach 1:
The system pre-establishes the relationship between driving characteristics and accident risk probabilities before real-time operation. By having the processor configured to analyze sensor data according to predetermined criteria, the system avoids complex real-time calculations while maintaining high measurement precision.
Solution Approach 2:
The patent replaces complex mechanical or manual analysis of driving behavior with electronic sensor-based detection and automated processor analysis. This substitution enables precise measurement of driving characteristics without requiring complex manual assessment mechanisms.
3Ease of operation
If the system provides detailed accident risk notifications, then drivers can adjust behavior, but information overload may occur
Solution Approach 1:
The system provides targeted notifications specifically for route segments where accident risk exceeds the threshold, rather than providing uniform information for all routes. This localized approach ensures drivers receive relevant information only where needed, improving ease of behavior adjustment without information overload.
Solution Approach 2:
The system selectively communicates information about high-risk segments rather than providing complete route information. By focusing only on segments exceeding the accident risk threshold, the system maintains notification effectiveness while avoiding information overload for drivers.
Data Source
AI summary
Data indicating current driving characteristics of a driver driving a vehicle can be received in real time. A driving profile for the driver can be determined based on the data. The driving profile can be categorized into a driving pattern category. A plurality of candidate travel routes for the driver to reach an intended destination can be identified and, for each of the candidate travel routes, a plurality of route segments can be identified. Based on the driving pattern category, a probability that the current driving characteristics of the driver will cause a traffic accident can be determined for each of the plurality of route segments. Route segments for which the probability that the current driving characteristics of the driver will cause the traffic accident exceeds a threshold value can be determined. A notification can be communicated to the driver or vehicle indicating such probability.