OD DATA ANALYZING APPARATUS, OD DATA ANALYZING METHOD, AND PROGRAM

To obtain a base pattern of movement through analysis of OD data representing frequency of movement from an origin to a destination.SOLUTION: An OD data analysis apparatus 101 has an acquiring unit 102 for acquiring a frequency c'i,j of movement from a point i of N origins to a point j of M des...

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Hauptverfasser: NODA ITSUKI, MAKISHIMA AKITO, OCHIAI JUNICHI
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MAKISHIMA AKITO
OCHIAI JUNICHI
description To obtain a base pattern of movement through analysis of OD data representing frequency of movement from an origin to a destination.SOLUTION: An OD data analysis apparatus 101 has an acquiring unit 102 for acquiring a frequency c'i,j of movement from a point i of N origins to a point j of M destinations. A calculating unit 103 calculates a probability matrix W' based on the acquired frequency c'i,j. A decomposing unit 104 subjects the probability matrix W', with respect to a base number K, to approximate decomposition to obtain a product TU^R^V^ of a transposed matrix TU^ of a non-negative matrix U^=[u^k,i] having K rows and N columns and having the sum of each row set as 1, a non-negative diagonal matrix R^=diag [r^k] having the sum of diagonal elements set as 1, and a non-negative matrix V^=[v^k,j] having K rows and M columns and having the sum of each row set as 1. An output unit 105 outputs r^k as a ratio of movement classified into a base pattern k, u^k,i as probability of departing from the point i, and v^k,j as probability of reaching the point j.SELECTED DRAWING: Figure 1 【課題】出発地から目的地までの移動の頻度を表すODデータを分析して、移動の基底パターンを得る。【解決手段】ODデータ分析装置101において、取得部102は、N個の出発地のうち地点iから、M個の目的地のうち地点jまでの移動の頻度c'i,jを取得する。計算部103は、取得された頻度c'i,jに基づいて、確率行列W'を計算する。分解部104は、基底数Kに対して、確率行列W'を、各行の総和が1であるK行N列の非負行列U^ = [u^k,i]の転置行列TU^と、対角要素の総和が1である非負対角行列R^ = diag [r^k]と、各行の総和が1であるK行M列の非負行列V^ = [v^k,j]と、の積TU^ R^ V^に近似分解をする。出力部105は、基底パターンkに分類される移動の割合として、r^kを、地点iから出発する確率として、u^k,iを、地点jに到着する確率として、v^k,jを、それぞれ出力する。【選択図】図1
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A calculating unit 103 calculates a probability matrix W' based on the acquired frequency c'i,j. A decomposing unit 104 subjects the probability matrix W', with respect to a base number K, to approximate decomposition to obtain a product TU^R^V^ of a transposed matrix TU^ of a non-negative matrix U^=[u^k,i] having K rows and N columns and having the sum of each row set as 1, a non-negative diagonal matrix R^=diag [r^k] having the sum of diagonal elements set as 1, and a non-negative matrix V^=[v^k,j] having K rows and M columns and having the sum of each row set as 1. An output unit 105 outputs r^k as a ratio of movement classified into a base pattern k, u^k,i as probability of departing from the point i, and v^k,j as probability of reaching the point j.SELECTED DRAWING: Figure 1 【課題】出発地から目的地までの移動の頻度を表すODデータを分析して、移動の基底パターンを得る。【解決手段】ODデータ分析装置101において、取得部102は、N個の出発地のうち地点iから、M個の目的地のうち地点jまでの移動の頻度c'i,jを取得する。計算部103は、取得された頻度c'i,jに基づいて、確率行列W'を計算する。分解部104は、基底数Kに対して、確率行列W'を、各行の総和が1であるK行N列の非負行列U^ = [u^k,i]の転置行列TU^と、対角要素の総和が1である非負対角行列R^ = diag [r^k]と、各行の総和が1であるK行M列の非負行列V^ = [v^k,j]と、の積TU^ R^ V^に近似分解をする。出力部105は、基底パターンkに分類される移動の割合として、r^kを、地点iから出発する確率として、u^k,iを、地点jに到着する確率として、v^k,jを、それぞれ出力する。【選択図】図1</description><language>eng ; jpn</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SIGNALLING ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR ; TRAFFIC CONTROL SYSTEMS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220126&amp;DB=EPODOC&amp;CC=JP&amp;NR=2022017773A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220126&amp;DB=EPODOC&amp;CC=JP&amp;NR=2022017773A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>NODA ITSUKI</creatorcontrib><creatorcontrib>MAKISHIMA AKITO</creatorcontrib><creatorcontrib>OCHIAI JUNICHI</creatorcontrib><title>OD DATA ANALYZING APPARATUS, OD DATA ANALYZING METHOD, AND PROGRAM</title><description>To obtain a base pattern of movement through analysis of OD data representing frequency of movement from an origin to a destination.SOLUTION: An OD data analysis apparatus 101 has an acquiring unit 102 for acquiring a frequency c'i,j of movement from a point i of N origins to a point j of M destinations. A calculating unit 103 calculates a probability matrix W' based on the acquired frequency c'i,j. A decomposing unit 104 subjects the probability matrix W', with respect to a base number K, to approximate decomposition to obtain a product TU^R^V^ of a transposed matrix TU^ of a non-negative matrix U^=[u^k,i] having K rows and N columns and having the sum of each row set as 1, a non-negative diagonal matrix R^=diag [r^k] having the sum of diagonal elements set as 1, and a non-negative matrix V^=[v^k,j] having K rows and M columns and having the sum of each row set as 1. 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A calculating unit 103 calculates a probability matrix W' based on the acquired frequency c'i,j. A decomposing unit 104 subjects the probability matrix W', with respect to a base number K, to approximate decomposition to obtain a product TU^R^V^ of a transposed matrix TU^ of a non-negative matrix U^=[u^k,i] having K rows and N columns and having the sum of each row set as 1, a non-negative diagonal matrix R^=diag [r^k] having the sum of diagonal elements set as 1, and a non-negative matrix V^=[v^k,j] having K rows and M columns and having the sum of each row set as 1. An output unit 105 outputs r^k as a ratio of movement classified into a base pattern k, u^k,i as probability of departing from the point i, and v^k,j as probability of reaching the point j.SELECTED DRAWING: Figure 1 【課題】出発地から目的地までの移動の頻度を表すODデータを分析して、移動の基底パターンを得る。【解決手段】ODデータ分析装置101において、取得部102は、N個の出発地のうち地点iから、M個の目的地のうち地点jまでの移動の頻度c'i,jを取得する。計算部103は、取得された頻度c'i,jに基づいて、確率行列W'を計算する。分解部104は、基底数Kに対して、確率行列W'を、各行の総和が1であるK行N列の非負行列U^ = [u^k,i]の転置行列TU^と、対角要素の総和が1である非負対角行列R^ = diag [r^k]と、各行の総和が1であるK行M列の非負行列V^ = [v^k,j]と、の積TU^ R^ V^に近似分解をする。出力部105は、基底パターンkに分類される移動の割合として、r^kを、地点iから出発する確率として、u^k,iを、地点jに到着する確率として、v^k,jを、それぞれ出力する。【選択図】図1</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SIGNALLING
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TRAFFIC CONTROL SYSTEMS
title OD DATA ANALYZING APPARATUS, OD DATA ANALYZING METHOD, AND PROGRAM
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