Traffic Information Processing Standardization for Congestion Prediction
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Solution Overview
Problem
Current digital broadcast systems for traffic information lack standardization, making it difficult for terminals from different manufacturers to detect and interpret traffic information effectively, and do not provide accurate predictions of congestion status.
Innovation Solution
A method and apparatus for processing traffic information that includes encoding and transmitting data with identifiers for congestion amount, tendency, travel time, and travel speed predictions, using a standardized format like TPEG-CTT messages, which are decoded by terminals to provide users with accurate and timely traffic updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standardized traffic information format is used, then compatibility across different terminals is improved, but information completeness and prediction accuracy deteriorate
Solution Approach 1:
The traffic information is segmented into multiple hierarchical levels: basic traffic status information and optional prediction information modules. The prediction information is further divided into congestion amount prediction, congestion tendency prediction, travel time prediction, and travel speed prediction. This segmentation allows terminals to selectively process information based on their capabilities while maintaining standardized structure.
Solution Approach 2:
The standardized message structure is designed to be universal by incorporating optional information fields that can accommodate different types of prediction data. The message format can function as both basic traffic information carrier and comprehensive prediction information carrier, adapting to different terminal requirements through optional field inclusion.
2Measurement precision
If comprehensive traffic information is transmitted, then prediction accuracy is improved, but data transmission complexity increases
Solution Approach 1:
The comprehensive traffic information is segmented into modular prediction components (congestion amount, tendency, travel time, travel speed), each with standardized data structures. This modular segmentation reduces overall complexity by allowing systematic processing of each prediction type independently while maintaining complete information.
3Ease of operation
If detailed prediction information is provided, then user experience is improved, but information processing time increases
Solution Approach 1:
Prediction information about future congestion status, travel time, and travel speed is calculated and prepared in advance by the server before transmission to terminals. This preliminary action allows terminals to receive ready-to-use prediction data without performing complex real-time calculations, significantly reducing processing time while providing comprehensive prediction details for improved user experience.
Data Source
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Figure 2b~2d
Figure 2e~2f
AI summary
An apparatus for processing traffic information is provided. The apparatus comprises a receiving unit configured to receive traffic information and a decoding unit configured to decode the received traffic information. The traffic information includes a sequence of one or several traffic information message and a first number corresponding to the number of traffic information messages. The traffic information message comprises a traffic information component including information corresponding to a congestion tendency for a road. An interrelated method for processing traffic information is also provided.