Traffic Data Quality Determination via Multi-Source Comparison
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Solution Overview
Problem
Existing traffic systems are error-prone and lack methods for determining the correctness, precision, and quality of received data, leading to inaccurate traffic information that can affect comfortable, economical, safe, and speedy driving.
Innovation Solution
A quality determining method that acquires first traffic parameter data from a traffic system and second data from multiple traffic participants, comparing these to assess the quality of the data and adjust parameters such as traffic light phases and road topology for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traffic parameter data is acquired from a traffic system, then traffic information can be obtained for navigation and route guidance, but the data may be error-prone and inaccurate due to reception interferences, faulty signal generation, calibration errors, or poor predictions
Solution Approach 1:
The system implements feedback by comparing traffic parameter data from the traffic system with actual observed data from multiple traffic participants. This comparison provides feedback on the accuracy of the received data, enabling quality determination and correction of errors in navigation and route guidance systems.
Solution Approach 2:
The patent introduces an intermediary quality determination mechanism that mediates between the traffic system data and the navigation system. This intermediary compares received traffic parameter data with observed data from multiple traffic participants and determines data quality, preventing erroneous data from affecting navigation decisions.
2Measurement precision
If data from multiple traffic participants is collected and compared, then the quality and accuracy of traffic data can be determined, but the system complexity and data processing requirements increase
Solution Approach 1:
The system achieves universality by having multiple traffic participants (vehicles) perform the same data collection and comparison functions. Each traffic participant independently collects traffic parameter data and compares it with observed data, allowing the system to determine data quality through multiple independent evaluations without requiring a single complex centralized system.
Data Source
AI summary
Technologies and techniques for quality determination for a traffic system. First traffic parameter data is acquired from the traffic system, indicative of a parameter of the traffic system. Second traffic parameter data is acquired, indicative of another parameter of the traffic system, wherein the second traffic parameter data originate from a plurality of traffic participants. The parameter from the first traffic parameter data and second traffic parameter are obtained, wherein the parameter obtained from the first traffic parameter data is compared to the parameter obtained from the second traffic parameter data in order to determine the quality of the first traffic parameter data.