Traffic Disturbance Reporting Quality Check via Statistical Frequency Distribution Comparison
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Solution Overview
Problem
Existing methods for evaluating the quality of traffic disturbance reporting processes, such as those indicated by quality indicators QKZ1 and QKZ2, lack reliability and may prioritize favorable values over actual traffic conditions, leading to incomplete or inaccurate representations of traffic situations.
Innovation Solution
A method that records and compares statistical frequency distributions of reported conditions from traffic disturbance reports with actual conditions from reference observations, using the chi-square test to derive a quality indicator that assesses the reliability and informative value of the reporting process, ensuring a more comprehensive representation of real traffic situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If quality indicators QKZ1 and QKZ2 are used to evaluate traffic disturbance reporting processes, then the evaluation can be performed rapidly and easily, but the reliability of the quality check is insufficient
Solution Approach 1:
The patent introduces reference observations as an intermediary element to mediate between the reported conditions and the evaluation process. These reference observations serve as a benchmark or mediator that enables a more reliable comparison while maintaining the rapid evaluation capability. The reference observations act as a reference frame that improves the reliability of quality assessment without compromising the speed of the evaluation process.
2Measurement precision
If quality indicators QKZ1 and QKZ2 are optimized for favorable values, then the evaluation results appear favorable, but the actual traffic conditions may not be accurately represented
Solution Approach 1:
The patent implements a feedback mechanism by comparing reported conditions against reference observations. This feedback loop allows the system to identify discrepancies between reported and actual traffic conditions, preventing the loss of important traffic situation information. The feedback ensures that quality indicators accurately reflect real traffic conditions rather than merely showing favorable values.
Solution Approach 2:
Instead of directly evaluating reported conditions in isolation, the patent inverts the approach by introducing reference observations as the baseline and comparing reported conditions against this reference. This inversion allows for a more accurate assessment of whether reported conditions truly represent actual traffic situations, preventing information loss about real traffic conditions.
3Reliability
If statistical frequency distributions are compared between reported and actual conditions, then the reliability of quality assessment is improved, but the complexity of the checking process increases
Solution Approach 1:
The patent uses statistical frequency distributions as a simplified copy or representation of the complex traffic condition data. Instead of analyzing individual traffic reports in detail, the system creates frequency distribution copies that capture the essential patterns. This copying approach maintains high reliability in quality assessment while reducing the complexity of the checking process by working with aggregated statistical data rather than raw individual reports.
Data Source
AI summary
A method of checking the quality of traffic disturbance reporting processes records a total number of traffic disturbance reports generated by a traffic disturbance reporting process, which traffic disturbance reports each relate to at least one defined reporting time period and at least one defined reporting route segment, over a predefined analyzing time period and a predefined analyzing range. A number of reported conditions is formed from the total number of traffic disturbance reports, and a first statistical frequency distribution of the reported conditions is determined. A total number of reference observations are recorded, which each relate to at least one defined observation time period and at least one defined observation route segment, within the analyzing time period and within the analyzing range. A number of actual conditions is formed from the total number of reference observations and a second statistical frequency distribution of the actual conditions is determined. The second statistical frequency distribution is compared with the first statistical frequency distribution, and a quality indicator for the traffic disturbance reporting process is derived from the result of the comparison.