Vehicle Data Redundancy Filtering for Traffic Servers
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Solution Overview
Problem
Existing systems for transmitting data from mobile vehicles to traffic information servers face inefficiencies due to redundant information being transmitted, leading to increased costs and channel monopolization, which does not contribute to meaningful traffic analysis.
Innovation Solution
A method and system that determine redundancy by comparing vehicle speed and location data with previously transmitted data or determining if it falls within an expected range, preventing redundant data from being transmitted, thereby reducing unnecessary uploads and channel usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all vehicle data is transmitted to the traffic information server, then complete traffic information is available for analysis, but redundant data increases transmission costs and monopolizes communication channels
Solution Approach 1:
The system performs preliminary filtering of vehicle data before transmission by comparing data against expected ranges and checking for redundancy. This preliminary action prevents redundant data from being transmitted in the first place, reducing communication costs while ensuring only valuable traffic information reaches the server
Solution Approach 2:
The system extracts and transmits only the essential non-redundant data elements that contribute to meaningful traffic analysis. By separating useful information from redundant duplicates, the system reduces transmission costs while maintaining complete traffic information coverage
2Loss of information
If all vehicle data is transmitted to the traffic information server, then complete traffic information is available for analysis, but communication channels are monopolized by redundant transmissions
Solution Approach 1:
The system performs preliminary filtering of vehicle data before transmission by comparing data against expected ranges and checking for redundancy. This preliminary action prevents redundant data from being transmitted in the first place, reducing communication costs while ensuring only valuable traffic information reaches the server
Solution Approach 2:
The system extracts and transmits only the essential non-redundant data elements that contribute to meaningful traffic analysis. By separating useful information from redundant duplicates, the system reduces transmission costs while maintaining complete traffic information coverage
3Loss of energy
If data filtering is performed before transmission, then redundant transmissions are reduced and costs lower, but data comparison and range checking increase processing complexity
Solution Approach 1:
The filtering system operates autonomously at each vehicle endpoint, automatically comparing data against expected ranges and determining redundancy without requiring complex centralized processing. This self-service approach reduces transmission costs while keeping processing complexity manageable through localized decision-making
Data Source
AI summary
A method for transmitting data to a traffic information server includes obtaining, at a mobile vehicle, data including at least one of a vehicle speed and a vehicle location at a then-current time, and determining whether the data is redundant. Determining whether the data is redundant may be accomplished by at least one of comparing the data with other data previously transmitted to the traffic information server from an other mobile vehicle or determining whether the data falls within an expected range for a predetermined time interval. The method further includes transmitting the data, via a wireless communication system, to the traffic information server from the mobile vehicle if the data is determined to be non-redundant. Also disclosed herein is a system to perform the method.