JP6842533B2 - 需要予測装置 - Google Patents
需要予測装置 Download PDFInfo
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- JP6842533B2 JP6842533B2 JP2019512585A JP2019512585A JP6842533B2 JP 6842533 B2 JP6842533 B2 JP 6842533B2 JP 2019512585 A JP2019512585 A JP 2019512585A JP 2019512585 A JP2019512585 A JP 2019512585A JP 6842533 B2 JP6842533 B2 JP 6842533B2
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- 238000007781 pre-processing Methods 0.000 claims description 48
- 239000000284 extract Substances 0.000 claims description 6
- 238000000034 method Methods 0.000 description 49
- 238000012545 processing Methods 0.000 description 20
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- 230000008569 process Effects 0.000 description 15
- 230000006870 function Effects 0.000 description 12
- 238000012805 post-processing Methods 0.000 description 11
- 238000004891 communication Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 6
- 238000000605 extraction Methods 0.000 description 5
- 238000013277 forecasting method Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
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- 238000010200 validation analysis Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
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Description
dist_all=sqrt(M)×{(sqrt(M)/2d)×2}=M/d …(1)
d=M/dist_all…(2)
したがって、半径dを、単位メッシュMの面積と、道路Cの総延長距離dist_allとから求めることができる。
上記実施の形態の説明に用いたブロック図は、機能単位のブロックを示している。これらの機能ブロック(構成部)は、ハードウェア及び/又はソフトウェアの任意の組み合わせによって実現される。また、各機能ブロックの実現手段は特に限定されない。すなわち、各機能ブロックは、物理的及び/又は論理的に結合した1つの装置により実現されてもよいし、物理的及び/又は論理的に分離した2つ以上の装置を直接的及び/又は間接的に(例えば、有線及び/又は無線)により接続し、これら複数の装置により実現されてもよい。
Claims (6)
- 乗車日時を示す情報、及び、乗車場所を示す位置情報を含む、営業用車両に関する複数の乗車履歴情報を取得する乗車履歴取得部と、
前記複数の乗車履歴情報を用いた空間クラスタリングにより、前記車両の需要予測を行う需要予測部と、
前記需要予測部による需要予測結果を出力する出力部と、
を有し、
前記乗車履歴情報は、車両の進行方向を示す情報を含み、
前記需要予測部は、前記車両の進行方向毎に需要予測を行う、需要予測装置。 - 前記複数の乗車履歴情報から、前記空間クラスタリングに用いる前記乗車履歴情報を抽出する前処理部を有し、
前記需要予測部は、前記前処理部により抽出された前記乗車履歴情報に基づいて需要予測を行う、請求項1に記載の需要予測装置。 - 前記前処理部は、前記乗車日時を示す情報が特定の条件を満たす前記乗車履歴情報を抽出する、請求項2に記載の需要予測装置。
- 前記前処理部は、前記位置情報が特定の条件を満たす前記乗車履歴情報を抽出する、請求項2に記載の需要予測装置。
- 前記需要予測部は、前記需要予測結果の妥当性を検証し、前記需要予測結果が妥当でない場合には、前記空間クラスタリングにおける条件を変更して前記空間クラスタリングを再度実施する、請求項1〜4のいずれか一項に記載の需要予測装置。
- 前記出力部は、前記需要予測結果において需要が高いと予測された位置に関する情報を、地図情報と重ね合わせて表示する、請求項1〜5のいずれか一項に記載の需要予測装置。
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2017080750 | 2017-04-14 | ||
JP2017080750 | 2017-04-14 | ||
PCT/JP2018/015563 WO2018190428A1 (ja) | 2017-04-14 | 2018-04-13 | 需要予測装置 |
Publications (2)
Publication Number | Publication Date |
---|---|
JPWO2018190428A1 JPWO2018190428A1 (ja) | 2020-02-27 |
JP6842533B2 true JP6842533B2 (ja) | 2021-03-17 |
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JP2019512585A Active JP6842533B2 (ja) | 2017-04-14 | 2018-04-13 | 需要予測装置 |
Country Status (3)
Country | Link |
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US (1) | US20190266625A1 (ja) |
JP (1) | JP6842533B2 (ja) |
WO (1) | WO2018190428A1 (ja) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20210125201A1 (en) * | 2018-06-08 | 2021-04-29 | Sony Corporation | Information processing apparatus, information processing method, and program |
JP2020071635A (ja) * | 2018-10-31 | 2020-05-07 | トヨタ自動車株式会社 | 需要予測情報の表示制御方法、表示制御装置、及び表示制御プログラム |
JP6894418B2 (ja) * | 2018-10-31 | 2021-06-30 | トヨタ自動車株式会社 | 需要予測情報の表示制御方法、表示制御装置、及び表示制御プログラム |
WO2020167244A1 (en) | 2019-02-13 | 2020-08-20 | Grabtaxi Holdings Pte. Ltd. | Automatically determining optimal transport service locations for points of interest from noisy multimodal data |
CN109871423A (zh) * | 2019-02-26 | 2019-06-11 | 武汉元光科技有限公司 | 公交线路脊线的更新方法及装置 |
JP7295057B2 (ja) * | 2020-03-27 | 2023-06-20 | トヨタ自動車株式会社 | 情報処理装置、情報処理方法、及び情報処理システム |
KR102425748B1 (ko) * | 2020-06-15 | 2022-07-27 | 포티투닷 주식회사 | 승차 수요 이력 데이터에 대한 클러스터링 기법을 통한 승객 탑승 예상 지역 결정 방법, 이에 사용되는 관리 장치 및 승차 수요 이력 데이터에 대한 클러스터링 기법을 통한 승객 탑승 예상 지역 결정 방법을 실행시키는 프로그램이 기록된 기록 매체 |
KR102405473B1 (ko) * | 2021-08-23 | 2022-06-08 | 포티투닷 주식회사 | 승객의 이동 흐름을 고려한 차량의 이동 경로를 결정하는 방법 및 장치 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010123075A1 (ja) * | 2009-04-23 | 2010-10-28 | 株式会社エヌ・ティ・ティ・ドコモ | 移動手段需要予測支援サーバ、移動手段供給システム、及び移動手段需要予測データ作成方法 |
US20140089036A1 (en) * | 2012-09-26 | 2014-03-27 | Xerox Corporation | Dynamic city zoning for understanding passenger travel demand |
KR101994631B1 (ko) * | 2014-04-24 | 2019-09-30 | 베이징 디디 인피니티 테크놀로지 앤드 디벨럽먼트 컴퍼니 리미티드 | 서비스의 공급을 관리하기 위한 시스템 및 방법 |
JP6653138B2 (ja) * | 2014-10-10 | 2020-02-26 | 株式会社日立システムズ | 需要予測システムおよび需要予測方法 |
JP6258246B2 (ja) * | 2015-04-02 | 2018-01-10 | ヤフー株式会社 | 解析装置、解析方法及びプログラム |
-
2018
- 2018-04-13 JP JP2019512585A patent/JP6842533B2/ja active Active
- 2018-04-13 US US16/343,866 patent/US20190266625A1/en not_active Abandoned
- 2018-04-13 WO PCT/JP2018/015563 patent/WO2018190428A1/ja active Application Filing
Also Published As
Publication number | Publication date |
---|---|
US20190266625A1 (en) | 2019-08-29 |
JPWO2018190428A1 (ja) | 2020-02-27 |
WO2018190428A1 (ja) | 2018-10-18 |
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