Trajectory Determination Device Using Signaling Data Classification
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Solution Overview
Problem
Current methods for determining human flows between locations are unreliable, costly, and lack contextual information, making it difficult to accurately measure hourly distributions and transportation means.
Innovation Solution
A trajectory determination device that passively analyzes signaling data from communication devices using a classifier and analyzer to produce reliable, automatable, and cost-effective trajectory data, incorporating rules to filter and process signaling data into meaningful movement and stop markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual human measurement methods are used to determine human flows, then contextual information can be obtained, but the cost is high and reliability is poor
Solution Approach 1:
The patent replaces manual human measurement methods with an automated electronic system that processes signaling data from communication devices. The classifier and parser automatically extract trajectory information, replacing the need for human observers and manual counting methods, thereby improving reliability while reducing operational complexity.
Solution Approach 2:
The system creates a digital copy of physical movement patterns by analyzing signaling data from communication devices. Instead of directly observing and measuring physical flows, the system processes copies of signaling information (cell changes, timestamps) to reconstruct trajectories, enabling automated and reliable flow determination.
2Productivity
If manual measurement methods are used, then some contextual information is obtained, but the cost in human resources is high
Solution Approach 1:
The patent replaces manual human processing with automated electronic classification and parsing systems. The classifier categorizes signaling data events, and the parser extracts trajectory information automatically, dramatically improving processing efficiency while the structured electronic system manages complexity more effectively than manual methods.
Solution Approach 2:
The system processes its own input data automatically through the classifier and parser without requiring human intervention. The signaling data from communication devices is self-processed to generate trajectory information, enabling high productivity with automated self-service processing.
3Loss of information
If signaling data is processed without filtering, then all data is retained, but noise and irrelevant information increase
Solution Approach 1:
The patent extracts only the relevant trajectory information from the comprehensive signaling data through the parser. By taking out specifically the location and timestamp information needed for trajectory determination while leaving other signaling data behind, the system retains necessary information while eliminating noise and irrelevant details.
Solution Approach 2:
The processing system segments the comprehensive signaling data into classified events (through the classifier) and then further segments relevant trajectory information from these events (through the parser). This two-stage segmentation allows the system to process all data systematically while extracting only the relevant trajectory information, maintaining quality by separating signal from noise.
Data Source
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AI summary
A device for determining path comprises: a memory (4) for receiving signalling data associating mobile-communication-device identifiers, time markers and signalling identifiers, at least some of the signalling identifiers designating a location cell; a classifier (6) capable, for a given mobile-communication-device identifier, of marking the signalling data that are associated therewith with a movement marker indicating a state chosen from a list comprising at least one movement and one short stop; an analyser (8) capable of processing the marked signalling data depending on the movement markers in order to produce path data associating, on the one hand, a given mobile-communication-device identifier and, on the other hand, a series of movement markers, each of which is associated with a location cell and with a time marker, so that two movement markers, the time markers of which indicate that they are successive, designate separate states, by applying at least one processing rule.