Traffic Jam Sign Index for Driving Assistance
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Solution Overview
Problem
Existing methods for sensing traffic jam signs are prone to variations in traveling environments and driver characteristics, leading to inconsistent sensing accuracy and reliability.
Innovation Solution
A driving assistance method using a three-dimensional accelerometer to calculate power spectra, determine angle information from a single regression line, and compute a traffic jam sign index as the product of angle variation and speed, which is then used to sense traffic jams based on predetermined conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single regression line is calculated from the power spectrum of acceleration to sense traffic jam signs, then the sensing method is simple, but the sensing accuracy varies due to traveling environments and driver characteristics
Solution Approach 1:
The patent changes the parameter used for traffic jam detection from a single regression line inclination to a composite index (traffic jam sign index) that incorporates multiple parameters including power spectrum characteristics, acceleration statistics, and temporal variations. This allows the system to adapt to different traveling environments and driver characteristics while maintaining consistent detection accuracy.
Solution Approach 2:
The patent creates a composite sensing approach by combining multiple acceleration components (longitudinal, lateral, vertical), statistical measures (mean, standard deviation), frequency domain characteristics (power spectrum), and temporal variations into a unified traffic jam sign index. This composite methodology resolves the contradiction by achieving high accuracy without excessive complexity.
2Ease of operation
If a threshold is set for the inclination value to detect traffic jam signs, then the detection process is straightforward, but the threshold cannot be universally applicable across different traveling environments
Solution Approach 1:
The patent implements a dynamic detection approach where the traffic jam sign index is continuously updated based on real-time acceleration data, power spectrum analysis, and temporal variations. Instead of using a fixed threshold, the system adapts to changing traveling environments and driver characteristics by recalculating the index parameters, thereby maintaining both operational simplicity and environmental adaptability.
3Ease of manufacture
If the inclination of the regression line is used as the sole indicator for traffic jam detection, then the method is simple to implement, but the reliability is insufficient due to variations in traveling conditions
Solution Approach 1:
The patent creates a multi-functional detection system where the traffic jam sign index serves multiple purposes: it incorporates power spectrum characteristics, acceleration statistics, temporal variations, and environmental adaptations. This universal index replaces the single-purpose regression line inclination method, achieving both implementation feasibility and high reliability across diverse conditions.
Data Source
AI summary
A driving assistance method includes: a step of, by a driving assistance apparatus, calculating a power spectrum by a frequency analysis of an acceleration obtained by a three-dimensional accelerometer; a step of, by the driving assistance apparatus, obtaining information on an angle based on a magnitude of an inclination of a single regression line of the power spectrum in a predetermined frequency range; a step of obtaining a speed by the driving assistance apparatus; a step of, by the driving assistance apparatus, calculating a traffic jam sign index as a product of a value associated with a degree of variation in the angle and a value associated with the speed; and a step of, by the driving assistance apparatus, sensing a traffic jam sign based on a change in the traffic jam sign index within a predetermined time.