WO2020192878A1 - Procédé et système permettant de faire fonctionner une pluralité de véhicules - Google Patents
Procédé et système permettant de faire fonctionner une pluralité de véhicules Download PDFInfo
- Publication number
- WO2020192878A1 WO2020192878A1 PCT/EP2019/057321 EP2019057321W WO2020192878A1 WO 2020192878 A1 WO2020192878 A1 WO 2020192878A1 EP 2019057321 W EP2019057321 W EP 2019057321W WO 2020192878 A1 WO2020192878 A1 WO 2020192878A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- vehicle
- vehicles
- data
- operator
- fleet
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000007620 mathematical function Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 230000015654 memory Effects 0.000 description 10
- 230000002349 favourable effect Effects 0.000 description 6
- 238000007726 management method Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000010801 machine learning Methods 0.000 description 3
- 230000002787 reinforcement Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000012384 transportation and delivery Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
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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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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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
Definitions
- step S4 transmitting the determined reference commands to a fleet operator
- step S5 receiving feedback data upon completion of the pending mission, the feedback data comprising information on mission completion accuracy, and
- the step S6 of updating the global self-learning model may comprise updating the global self-learning model based also on the operator command.
- the vehicles of said fleet of vehicles may be operating within a fixed route, thereby limiting the number of parameters a fleet operator needs to take into account. This may for instance be implemented for a fleet of passenger busses, or similar transporting vehicles having a number of determined stops or fixed points to pass along a fixed route.
- the control unit when the determined reference command is the same as the operator command for a vehicle of said plurality of vehicles, the control unit does not transmit the determined reference command for that vehicle to the fleet operator.
- the reward calculator 330 sends 332 objective feedback data.
- the fleet operator 10 may also send feedback data, in particular subjective feedback data. This is illustrated by arrow 32.
- the control unit 310 may receive feedback data from the reward calculator 330 or from the fleet operator 10, or from both. This is illustrated by the arrows 32, 332 being inputs to a logical OR-gate. The output is illustrated by the arrow 352.
- the memory is communicably connected to the processor (e.g., via a circuit or any other wired, wireless, or network connection) and includes computer code for executing one or more processes described herein.
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- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Traffic Control Systems (AREA)
Abstract
L'invention se rapporte à un procédé et à un système permettant de faire fonctionner une pluralité de véhicules. Des données de véhicule sont reçues d'une pluralité de véhicules, les données de véhicule comprenant une position géographique de chaque véhicule. Des données logistiques comprenant des paramètres associés à une mission en attente pour chaque véhicule de la pluralité de véhicules sont reçues. Au moyen d'un modèle d'auto-apprentissage global, une commande de référence pour la mission en attente pour chaque véhicule de la pluralité de véhicules est déterminée sur la base des données de véhicule reçues et des données de logistique reçues. Les commandes de référence déterminées sont transmises à un opérateur de flotte. Des données de rétroaction sont reçues lors de l'achèvement de la mission en attente, les données de rétroaction comprenant des informations sur la précision d'achèvement de mission, et le modèle d'auto-apprentissage global est mis à jour sur la base des données de véhicule reçues, des données de logistique reçues et des données de rétroaction reçues.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/EP2019/057321 WO2020192878A1 (fr) | 2019-03-22 | 2019-03-22 | Procédé et système permettant de faire fonctionner une pluralité de véhicules |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/EP2019/057321 WO2020192878A1 (fr) | 2019-03-22 | 2019-03-22 | Procédé et système permettant de faire fonctionner une pluralité de véhicules |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2020192878A1 true WO2020192878A1 (fr) | 2020-10-01 |
Family
ID=65995685
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2019/057321 WO2020192878A1 (fr) | 2019-03-22 | 2019-03-22 | Procédé et système permettant de faire fonctionner une pluralité de véhicules |
Country Status (1)
Country | Link |
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WO (1) | WO2020192878A1 (fr) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113408841A (zh) * | 2021-03-23 | 2021-09-17 | 南方电网电动汽车服务有限公司 | 一种基于充电运营服务平台的车队任务***及实现方法 |
US20220343248A1 (en) * | 2021-04-26 | 2022-10-27 | GoBrands, Inc. | Systems and methods of predicting estimated times of arrival based on historical information |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180290546A1 (en) * | 2014-06-19 | 2018-10-11 | Proterra Inc. | Charging of an electric vehicle fleet |
US20190039467A1 (en) * | 2017-08-04 | 2019-02-07 | Rivian Automotive, LLC | Delayed Battery Charging For Electric Vehicles Based on State of Charge |
-
2019
- 2019-03-22 WO PCT/EP2019/057321 patent/WO2020192878A1/fr active Application Filing
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180290546A1 (en) * | 2014-06-19 | 2018-10-11 | Proterra Inc. | Charging of an electric vehicle fleet |
US20190039467A1 (en) * | 2017-08-04 | 2019-02-07 | Rivian Automotive, LLC | Delayed Battery Charging For Electric Vehicles Based on State of Charge |
Non-Patent Citations (2)
Title |
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WIKIPEDIA: "Fleet management", INTERNET ARTICLE, 4 March 2019 (2019-03-04), XP055629704, Retrieved from the Internet <URL:https://en.wikipedia.org/w/index.php?title=Fleet_management&oldid=886211630> [retrieved on 20191008] * |
WIKIPEDIA: "Flottenmanagement", INTERNET ARTICLE, 26 January 2019 (2019-01-26), XP055629703, Retrieved from the Internet <URL:https://de.wikipedia.org/w/index.php?title=Flottenmanagement&oldid=185078535> [retrieved on 20191008] * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113408841A (zh) * | 2021-03-23 | 2021-09-17 | 南方电网电动汽车服务有限公司 | 一种基于充电运营服务平台的车队任务***及实现方法 |
US20220343248A1 (en) * | 2021-04-26 | 2022-10-27 | GoBrands, Inc. | Systems and methods of predicting estimated times of arrival based on historical information |
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