Terminal Track Matching for Same-Vehicle Detection
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Solution Overview
Problem
Conventional techniques require constant monitoring of all terminals to determine if they are in a vehicle, leading to significant processing loads and costs, and fail to easily determine if terminals are in the same moving object.
Innovation Solution
An information processing device that acquires and analyzes traveling tracks from multiple terminals to determine correspondence between stop time points and stop places, using a threshold-based determination process to identify terminals moving in the same object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If constant monitoring of all terminals is performed to determine whether they are in a vehicle, then determination accuracy is improved, but processing load increases
Solution Approach 1:
The invention extracts only the necessary features (stop time points and stop places) from terminal data to perform determination, rather than processing all terminal information. This selective extraction reduces processing load while maintaining determination accuracy by focusing on key characteristics that indicate vehicle presence.
Solution Approach 2:
The invention segments terminal information into specific actionable features (stop time points and stop places) rather than processing continuous or complete terminal data. This segmentation allows the system to work with discrete, manageable data points that are sufficient for vehicle determination, reducing overall processing requirements.
2Reliability
If information on all terminals is constantly grasped to determine terminal vehicle status, then determination reliability is improved, but processing cost increases
Solution Approach 1:
The invention extracts only the essential features (stop time points and stop places) needed for reliable vehicle determination, eliminating the need to process all terminal information. This extraction approach maintains determination reliability by focusing on discriminative features while reducing processing cost through decreased computational requirements.
3Measurement precision
If complete terminal tracking data is processed to determine same moving object, then determination accuracy is improved, but processing time increases
Solution Approach 1:
The invention extracts only stop time points and stop places from complete terminal tracking data, performing determination on these extracted features rather than the full dataset. This maintains determination accuracy for identifying terminals in the same moving object while significantly reducing processing time by working with a subset of critical data points.
Data Source
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AI summary
An information processing device (100) includes: an acquisition unit (121) that acquires information on a traveling track from a plurality of terminals; and a determination unit (124) that determines that some of the plurality of terminals have moved in the same moving object based on the correspondence between information on a stop time point and a stop place included in information on a traveling track acquired by the acquisition unit (121) and information on a stop time point and a stop place included in information on another traveling track.