Traffic Data Determination Using Real-Time Condition Coefficients
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Solution Overview
Problem
Existing methods for determining traffic data are not accurate enough due to reliance on outdated statistical information, lacking real-time condition data such as speed traps, weather, and road works, which affects travel time predictions and route recommendations.
Innovation Solution
A method and apparatus that incorporate current condition data from servers to modify statistical data, using modification coefficients to determine more accurate traffic data, enabling real-time travel time predictions and route recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If statistical traffic information is used for determining traffic data, then the system can provide traffic predictions, but the accuracy of travel time predictions deteriorates due to outdated information
Solution Approach 1:
The patent combines statistical traffic information with real-time condition data (weather, speed traps, road works) to create a hybrid traffic data determination system. This merging allows the system to maintain the benefits of historical patterns while incorporating current conditions, thereby improving accuracy without losing time efficiency
Solution Approach 2:
The system pre-calculates modification coefficients based on historical statistical data and stores them for quick retrieval. When real-time condition data becomes available, these pre-prepared coefficients are rapidly adjusted rather than calculated from scratch, reducing processing time while maintaining accuracy
2Measurement precision
If real-time condition data is incorporated to improve traffic data accuracy, then measurement precision improves, but device complexity increases due to additional data sources and processing requirements
Solution Approach 1:
The patent introduces modification coefficients as an intermediary element that bridges statistical traffic information and real-time condition data. These coefficients simplify the integration process by providing a standardized mechanism to adjust historical data based on current conditions, reducing the complexity of directly combining multiple diverse data sources
Solution Approach 2:
The system changes parameters by introducing modification coefficients that adjust statistical traffic data based on condition data. Instead of fundamentally restructuring the data determination process, the patent modifies existing parameters (traffic data values) through multiplicative coefficients, maintaining system simplicity while improving accuracy
Data Source
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AI summary
The present invention relates to a method and apparatus for determining traffic data. The method comprises the steps of providing statistical data 1201 relating to traffic at links of a street map, providing condition data 1202 relating to links of the street map, and determining traffic data based on the statistical data and the condition data 1203-1209.