Real-time Traffic Aggregation System for Bandwidth Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current traffic data aggregation systems provide all real-time traffic information, which can be inefficient for consumers who only need a fraction of the data, leading to unnecessary bandwidth usage and computational load.
Innovation Solution
A system that allows customers to request and receive a specific percentage of real-time traffic data, using algorithms like naïve and minimum spanning tree to prioritize and aggregate data based on customer needs, reducing data transfer and focusing on critical road segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all real-time traffic data is provided to consumers, then complete traffic information is available, but bandwidth usage and computational load increase unnecessarily
Solution Approach 1:
The patent extracts only the necessary traffic data from the complete dataset and provides it to consumers. The system identifies and transmits only critical road segment information and essential traffic parameters, eliminating redundant data transmission while maintaining information completeness for the consumer's specific needs.
Solution Approach 2:
The patent segments traffic data into critical and non-critical components. By dividing the complete traffic dataset into essential segments (critical road segments) and optional segments (less important areas), the system transmits only the necessary portions, reducing bandwidth usage while preserving information completeness for the consumer's specific application needs.
2Loss of information
If all real-time traffic data is provided to consumers, then complete traffic information is available, but computational load increases unnecessarily
Solution Approach 1:
The patent extracts only the necessary traffic data from the complete dataset and provides it to consumers. The system identifies and transmits only critical road segment information and essential traffic parameters, eliminating redundant data transmission while maintaining information completeness for the consumer's specific needs.
Solution Approach 2:
The patent performs preliminary aggregation and filtering of traffic data before transmission to consumers. By pre-processing the complete dataset to identify and isolate only the critical components needed by consumers, the system reduces the computational burden on consumer devices while ensuring information completeness for their specific applications.
3Measurement precision
If traffic data is aggregated at link level or TMC level, then detailed traffic information is available, but data volume and transmission requirements increase
Solution Approach 1:
The patent applies local quality by providing different levels of data detail to different consumers based on their specific needs. Critical road segments receive detailed link-level data, while other areas receive aggregated summaries, optimizing the balance between measurement precision and data volume for each consumer's specific application requirements.
Solution Approach 2:
The patent implements dynamic data aggregation levels that can be adjusted based on consumer needs and traffic conditions. The system dynamically determines the appropriate level of detail for different road segments and consumers, providing high detail where necessary and aggregated summaries where sufficient, thereby optimizing the precision-volume trade-off in real-time.
Data Source
AI summary
Systems, apparatuses, and methods are provided for aggregating and reporting real-time traffic conditions. Real-time traffic data for a network is collected. A request from a customer is received for a percentage of the real-time traffic data in the network, the percentage being greater than 0% and less than 100%. The real-time traffic data in the network is aggregated. The aggregated real-time traffic data is reported to the customer.