People-flow analysis apparatus noise cleansing and trip data generation

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Solution Overview

Problem

Conventional people-flow distribution systems compute inaccurate values if the people-flow model obtained from hypothetical data is inappropriate, leading to unreliable analysis.

Innovation Solution

A people-flow analysis apparatus that reads location information from mobile terminals, performs cleansing processing to eliminate noise, generates trip data, determines means of transportation, and calculates scale-up factors to estimate accurate people-flow data by aggregating actual observed location information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional people-flow models use hypothetical data, then the system can operate without actual location information, but the computed people-flow distribution values become inaccurate

Engineering Contradiction:
Improvepeople-flow distribution accuracyVSAvoidreliability of analysis
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent extracts and removes noise components from raw location information through cleansing processing. By separating useful location data from noisy data, the system achieves accurate people-flow distribution computation without relying on hypothetical models, directly resolving the accuracy-reliability contradiction

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent performs preliminary cleansing processing on location information before it is used for people-flow analysis. By pre-processing and filtering noise from location data in advance, the system ensures high-quality input data for accurate people-flow distribution computation, eliminating the need for hypothetical data

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the system processes raw location information without cleansing, then processing is simpler and faster, but noise in the data reduces measurement accuracy

Engineering Contradiction:
Improvelocation information accuracyVSAvoiddata processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The cleansing processing extracts and removes noise components from raw location information while preserving useful data. This selective extraction approach improves measurement precision without requiring complete reprocessing of all data, balancing accuracy with processing efficiency

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies cleansing processing selectively to remove only the noisy portions of location information rather than completely reprocessing all data. This partial action approach achieves necessary accuracy improvement without excessive processing complexity

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20240183677A1People-flow analysis apparatus, people-flow analysis method, and people-flow analysis system
Publication Date: 2024.06.06 PACIFIC CONSULTANTS CO LTD
  • US20240183677A1 patent drawing
  • US20240183677A1 patent drawing
  • US20240183677A1 patent drawing

AI summary

An apparatus incudes processing circuitry configured to: read, along with time information, location information included in radio waves received by a positioning apparatus from multiple mobile terminals; perform cleansing processing for thinning out, according to a predetermined rule, the location information received by the positioning apparatus; generate, for the cleansed location information, trip data indicating travel paths of users carrying the mobile terminals; and determine, for the generated trip data, means of transportation of the users.