WO2021204515A1 - Verfahren zum erzeugen eines einsatzzeitenschlüsselindikators, sowie managementsystem - Google Patents
Verfahren zum erzeugen eines einsatzzeitenschlüsselindikators, sowie managementsystem Download PDFInfo
- Publication number
- WO2021204515A1 WO2021204515A1 PCT/EP2021/057053 EP2021057053W WO2021204515A1 WO 2021204515 A1 WO2021204515 A1 WO 2021204515A1 EP 2021057053 W EP2021057053 W EP 2021057053W WO 2021204515 A1 WO2021204515 A1 WO 2021204515A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- motor vehicle
- computing device
- management system
- electronic computing
- determined
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 239000000446 fuel Substances 0.000 claims description 16
- 238000001514 detection method Methods 0.000 claims description 4
- 230000003287 optical effect Effects 0.000 claims description 4
- 239000002828 fuel tank Substances 0.000 claims description 3
- 239000003795 chemical substances by application Substances 0.000 claims 1
- 238000011156 evaluation Methods 0.000 description 4
- 238000004140 cleaning Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- 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
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/02—Registering or indicating driving, working, idle, or waiting time only
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
Definitions
- the invention relates to a method for producing a
- Use time key indicator for displaying a use time of a motor vehicle for a user by means of a management system according to the preamble of patent claim 1. Furthermore, the invention relates to a management system.
- KPI key performance indicators
- WO 2013/138798 A1 discloses a method for evaluating driver behavior on the basis of geodesics to improve the safety and efficiency of the driver.
- a method of a server device may include determining that a vehicle with telemetry data is communicatively coupled to the server device and comparing the telemetry data with objective data of the driver. A discrepancy between the telemetry data and the objective driver data can then be determined.
- a performance evaluation can be generated when comparing the variance with a threshold value and / or the objective driver data. The performance evaluation can be published together with other performance evaluations of other drivers in other vehicles, which are also communicatively coupled with the server device to a report dashboard module.
- Elements of game theory can be implemented to create a team driving challenge and / or driving performance program to aid in performance evaluation Generate to improve driver safety and efficiency for commercial fleets.
- DE 102018 126414 A1 discloses a drive train control of a vehicle which provides a fuel pump actuator signal, which indicates a fuel throughput, to a vehicle bus.
- a processor is configured to receive data from the vehicle bus.
- the processor integrates the actuator signal to accumulate the vehicle's fuel consumption and periodically sends the accumulated fuel consumption, vehicle speed, engine speed, engine status and vehicle location to a remote server.
- a subset of the accumulated fuel consumption is retrieved for a set of vehicles in a fleet driving a route during a time frame, the accumulated fuel consumption being compiled from fuel pump actuator signals.
- Fuel waste is calculated for identified idle periods in the accumulated fuel consumption. A financial loss due to wasted fuel will be charged. A report is made showing the financial loss.
- the object of the present invention is to create a method and a management system by means of which a simplified determination of productive times of the motor vehicle can be implemented.
- One aspect of the invention relates to a method for generating a deployment time key indicator for displaying a deployment time of a motor vehicle for a user by means of a management system, in which at least one operating parameter of the motor vehicle is transmitted to an electronic computing device of the management system external to the vehicle and in which, depending on the at least one transmitted Operating parameters is determined by means of the electronic computing device of the deployment time key indicator.
- At least one loading parameter of the motor vehicle is recorded and transmitted to the electronic computing device and the operating time key indicator is additionally generated as a function of the at least one loading parameter by means of the electronic computing device.
- the invention thus proposes that a key performance indicator (KPI), which corresponds to the deployment time key indicator, is displayed for the management system of a vehicle fleet, for example, which determines the productive deployment time and, for example, delimits it from non-productive times.
- KPI key performance indicator
- a simple KPI is determined for the motor vehicle or for a large number of motor vehicles, which can then be referred to as a fleet, for example, which determines productive deployment times.
- a productive working time can be, for example, the transport of goods or the transport of a person.
- non-productive operating times can be empty trips, tank trips, cleaning trips or visits to the workshop, for example.
- a user of the management system who can also be referred to as a fleet manager, to be able to determine whether the motor vehicle is being used productively or non-productively. If, for example, the customer can be billed for the journey to a customer service vehicle, then there is a productive operating time. If this cannot be done, as is the case with a taxi, for example, then for this industry or this customer a scenario “empty travel route” may be a non-productive deployment time.
- loading times of motor vehicles, unloading times of vehicles, intermediate stops for picking up or dropping off goods or people can be classified as productive operating time or as non-productive operating time depending on the user.
- the operating times of the motor vehicle be determined and appropriately displayed to the customer, such as a fleet manager, for example. This can be done for the individual motor vehicle, but can also be averaged or summed over a large number of motor vehicles.
- the operating hours key indicator can also be an absolute value, for example “this week 17 hours productive operating time ”or as a relative value, for example“ 27% productive operating time ”.
- the fleet manager can define and classify geographic areas, so-called geofences. For example, he can define a geofence that identifies a goods depot and assign a time the vehicle is there to a productive or non-productive operating time.
- a simple scalar value is thus generated which determines the productive deployment time or the ratio of the productive deployment time to the non-productive deployment time and represents it in a suitable manner to the fleet manager.
- the operating time key indicator is observed or stored over different periods of time and thus enables a comparison, for example. For example, this week 30%, the previous week 27% or this week 30%, this month 27% or this year 25% can be displayed as the period with the operating hours key indicator.
- the management system has a display device which then in turn displays the usage time key indicator for the user, in particular the fleet manager.
- a current location of the motor vehicle and / or a current speed of the motor vehicle are transmitted to the electronic computing device as operating parameters.
- the operating hours key indicator can thus be reliably generated.
- the presence of at least one occupant of the motor vehicle is determined as the loading parameter.
- a large number of occupants in the motor vehicle can also be determined.
- the taxi has occupants and is thus performing a productive deployment time or a non-productive deployment time. This enables the operating time key indicator to be generated reliably.
- the presence of the at least one occupant is determined by means of a pressure sensor of the motor vehicle and / or by means of a seat belt occupancy sensor of the motor vehicle.
- the pressure sensor can be integrated into a vehicle seat, for example, and thus automatically determine the presence of the occupant when the occupant sits down on the vehicle seat.
- the presence of the occupant can be determined reliably and automatically on the basis of the seat belt occupancy sensor. Further possibilities are also included in order to record the occupant or the loading parameter. For example, the presence of the occupant in the motor vehicle can also be recorded by means of a camera. This allows the operating time key indicator to be determined in a simple manner.
- a loading of a loading space of the motor vehicle is determined as the loading parameter.
- a load or luggage for example in the trunk as a load space, can be determined as the load in the present case. This enables a productive operating time and a non-productive operating time to be differentiated on the basis of the load.
- the operating time key indicator can thus be reliably determined.
- the load in the loading space is determined by means of an optical detection device of the motor vehicle and / or by means of an electromagnetic chip system.
- the optical detection device can be designed as a scanner, whereby the loading and the loading parameters can then in turn be determined on the basis of the scanning, for example by means of a barcode on the loading.
- the load in the loading space can be reliably detected, for example, by means of an electromagnetic chip system, for example by means of an NFC system (Near Field Communication). This enables the deployment time key indicator to be reliably determined.
- a fuel level of a fuel tank of a motor vehicle and / or a charge status of an electrical energy storage device of the motor vehicle are additionally transmitted to the electronic computing device and the operating time key indicator is determined as a function thereof.
- the refueling of the motor vehicle can thus be detected by monitoring the fuel level.
- refueling the motor vehicle for example, is to be assessed as a non-productive operating time.
- Mission time key indicator is determined. For example, the location of the motor vehicle can be compared with a database of known locations of interest which, for example, correspond to gas stations, car washes or workshops. The electronic computing device can then in turn derive from this whether there is a productive or non-productive operating time. Depending on this, the operating time key indicator can then again be reliably determined for the user.
- the management system is used to determine a multiplicity of deployment time key indicators for a multiplicity of motor vehicles and, depending on the multiplicity of deployment time key indicators, a fleet key indicator is generated by means of the electronic computing device.
- a common deployment time key indicator which corresponds to the fleet key indicator, to be generated for an entire fleet.
- a fleet manager can get an overview of the extent to which his fleet is productive or non-productive. A simple overview can thus be generated for the user, which enables him to reliably estimate the deployment times in a large number of motor vehicles.
- Another aspect of the invention relates to a management system for generating a usage time key indicator for displaying a usage time of a motor vehicle for a user with at least one electronic computing device, the management system being designed to carry out a method according to the preceding aspect.
- the method is carried out by means of the management system.
- the management system has objective features which enable the method to be carried out and an advantageous embodiment thereof. Further advantages, features and details of the invention emerge from the following description of a preferred exemplary embodiment and with reference to the drawing.
- the features and combinations of features mentioned above in the description as well as the features and combinations of features mentioned below in the description of the figures and / or shown alone in the single figure can be used not only in the specified combination, but also in other combinations or on their own, without the frame to leave the invention.
- the single figure shows a schematic side view of an embodiment of a management system.
- the figure shows an embodiment of a management system 10 in a schematic side view.
- the management system 10 is designed to generate a deployment time key indicator KPI for displaying a deployment time of a motor vehicle 12 for a user 14 of the management system 10 with at least one electronic computing device 16.
- the management system 10 in particular furthermore has a display device 18 on which the usage time key indicator KPI can be displayed for the user 14.
- the user 14 can also be referred to as a fleet manager.
- At least one operating parameter 20 of the motor vehicle 12 is transmitted to the vehicle-external electronic computing device 16 of the management system 10 to display a deployment time of the motor vehicle 12 for the user 14 by means of the management system 10, and depending on the at least a transmitted operating parameter 20 is determined by means of the electronic computing device 16, the deployment time key indicator KPI.
- At least one loading parameter 22 of the motor vehicle 12 is additionally recorded and transmitted to the electronic computing device 16 and the deployment time key indicator KPI is additionally dependent on the at least one loading parameter 22 is generated by means of the electronic computing device 16.
- a current location of the motor vehicle 12 and / or a current speed of the motor vehicle 12 are transmitted to the electronic computing device 16 as the operating parameter 20.
- the operating parameter 20 and / or the loading parameter 22 can be transmitted to the electronic computing device 16 external to the vehicle by means of a mobile network 24.
- the presence of at least one occupant 26 of the motor vehicle 12 is determined as the loading parameter 22.
- the presence of the at least one occupant 26 is determined by means of a pressure sensor 28 and / or by means of a seat belt occupancy sensor 30 of the motor vehicle 12.
- a load 32 of a loading space of the motor vehicle 12, for example a trunk of the motor vehicle 12 is determined as the loading parameter 22.
- the load 32 in the loading space is determined by means of an optical detection device 34 of the motor vehicle 12 and / or by means of an electromagnetic chip system, for example an NFC system.
- a fuel level of a fuel tank 36 of the motor vehicle 12 and / or a state of charge of an electrical energy store 38 of the motor vehicle 12 are also transmitted to the electronic computing device 16 and the operating time key indicator KPI is determined as a function thereof. Furthermore, it can be provided that, by means of the electronic computing device 16, a current location of the motor vehicle 12 is compared with a map of the surroundings with places of interest POI and the deployment time key indicator KPI is determined as a function of the comparison.
- the figure also shows a further motor vehicle 40, which shows that the management system 10 can be used to determine a large number of operating time key indicators KPI for a large number of motor vehicles 12, 40 and, depending on the large number of operating time key indicators KPI, a fleet key indicator using the electronic computing device 16 is generated.
- the figure shows that for the management system ⁇ , for example a vehicle fleet, which in the present case then corresponds to the large number of motor vehicles 12, 40, a so-called key performance indicator (KPI) and thus the deployment time key indicator KPI is displayed, which shows the productive deployment time determined and differentiated from non-productive operating times.
- KPI key performance indicator
- Simple key performance indicators are indispensable, particularly for efficient management of the deployment of a vehicle fleet.
- a productive deployment time can be, for example, the transport of goods, for example the load 32, or the transport of an occupant 26.
- non-productive operating times can be empty trips, tank trips, cleaning trips or visits to the workshop, for example. It is of course possible for the user 14 to determine himself whether there is a productive or non-productive operating time.
- the customer can be billed for the journey to a customer service vehicle, then there is a productive operating time. If this cannot be done for a taxi, for example, then there is a non-productive deployment time for this industry or this customer for the “empty journey” scenario. It can also be left to the user 14 whether a classification for non-productive use time or productive use time, for example loading times of motor vehicles 12, 40, unloading times of motor vehicles 12, 40, stopovers for picking up or dropping off goods or people, is carried out.
- a classification for non-productive use time or productive use time for example loading times of motor vehicles 12, 40, unloading times of motor vehicles 12, 40, stopovers for picking up or dropping off goods or people, is carried out.
- the figure also shows that these deployment times can be determined and can be displayed to the user 14, in particular on the display device 18. This can be done for the motor vehicle 12, but also for a large number of motor vehicles 12, 40 and thus an entire fleet of motor vehicles 40, with a large number of existing ones in particular meaning more than one Hours of productive deployment time ”or as a relative value, for example“ 27% productive deployment time ”.
- the operating parameter 20, such as the location and speed of the motor vehicle 12, is sent to the electronic computing device 16 transfer.
- the motor vehicle 12 determines, for example, by means of the pressure sensor 28, as is also installed for the seat belt obligation, whether an occupant 26 is in the motor vehicle 12.
- the motor vehicle 12 determines the load 32 using suitable sensors, for example using a scanner or using NFC technology. Refueling can also be detected in a similar way by monitoring the fuel level. It is also possible for the vehicle location to be compared with a database of points of interest POI (Point Of Interest), these corresponding for example to a gas station, a car wash and a workshop.
- the electronic computing device 16 can then derive from this, in particular by means of an algorithm, whether there is a productive or non-productive operating time.
- POI Point Of Interest
- the user 14 defines and classifies geographic areas, so-called geofences.
- geofences For example, the user 14 can define a geofence that identifies a goods depot and then assign a stay of the motor vehicle 12 to a productive or non-productive operating time.
- Operating time key indicator KPI determines the productive operating time or the ratio of the productive operating time to the non-productive operating time and presents it to the user 14 in a suitable manner. In particular, it can be advantageous if it takes place over different periods of time and thus a comparison is made possible.
- the usage time key indicator KPI can indicate that this week 30%, the previous week 27% or this week 30%, this month 27% and this year 25 usage time for the motor vehicle 12 or for the further motor vehicle 40.
- the invention shows a method for determining and displaying productive deployment times in fleet management.
Landscapes
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Lock And Its Accessories (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Time Recorders, Dirve Recorders, Access Control (AREA)
Abstract
Description
Claims
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP21714118.3A EP4133437A1 (de) | 2020-04-09 | 2021-03-19 | Verfahren zum erzeugen eines einsatzzeitenschlüsselindikators, sowie managementsystem |
JP2022561594A JP7431347B2 (ja) | 2020-04-09 | 2021-03-19 | 運行時間主要業績指標を生成するための方法及びマネジメントシステム |
US17/917,603 US20230145315A1 (en) | 2020-04-09 | 2021-03-19 | Method for generating an operating time key performance indicator, and a management system |
CN202180027159.0A CN115380297A (zh) | 2020-04-09 | 2021-03-19 | 用于产生使用时间关键指标的方法以及管理系统 |
KR1020227034900A KR20220151672A (ko) | 2020-04-09 | 2021-03-19 | 운행 시간 핵심지표 생성 방법 및 관리 시스템 |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102020110076.0A DE102020110076A1 (de) | 2020-04-09 | 2020-04-09 | Verfahren zum Erzeugen eines Einsatzzeitenschlüsselindikators, sowie Managementsystem |
DE102020110076.0 | 2020-04-09 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2021204515A1 true WO2021204515A1 (de) | 2021-10-14 |
Family
ID=75203267
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2021/057053 WO2021204515A1 (de) | 2020-04-09 | 2021-03-19 | Verfahren zum erzeugen eines einsatzzeitenschlüsselindikators, sowie managementsystem |
Country Status (7)
Country | Link |
---|---|
US (1) | US20230145315A1 (de) |
EP (1) | EP4133437A1 (de) |
JP (1) | JP7431347B2 (de) |
KR (1) | KR20220151672A (de) |
CN (1) | CN115380297A (de) |
DE (1) | DE102020110076A1 (de) |
WO (1) | WO2021204515A1 (de) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE10018942A1 (de) * | 2000-04-17 | 2001-10-18 | Cargocom Gmbh | Verfahren zur telemetrischen Ermittlung der sich bei einem Lastkraftwagen ergebenden Gewichtsstrecke |
DE102009047330A1 (de) * | 2009-12-01 | 2011-06-09 | Deutsche Post Ag | Logistikfahrzeug mit RFID-Erfassungssystem |
WO2013138798A1 (en) | 2012-03-15 | 2013-09-19 | Spireon, Inc. | Geospatial data based assessment of driver behavior and performance |
DE102018126414A1 (de) | 2017-10-25 | 2019-04-25 | Ford Motor Company | Effizienzdarstellung zum flottenmanagement |
US20190279440A1 (en) * | 2014-09-23 | 2019-09-12 | Autoconnect Holdings Llc | Fleetwide vehicle telematics systems and methods |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6901762B2 (ja) * | 2017-07-21 | 2021-07-14 | 株式会社パインベース | 移動体情報収集装置、プログラム、情報処理装置、及び情報処理システム |
US20210012600A1 (en) * | 2018-03-16 | 2021-01-14 | Honda Motor Co., Ltd. | Delivery system |
-
2020
- 2020-04-09 DE DE102020110076.0A patent/DE102020110076A1/de active Pending
-
2021
- 2021-03-19 KR KR1020227034900A patent/KR20220151672A/ko unknown
- 2021-03-19 WO PCT/EP2021/057053 patent/WO2021204515A1/de unknown
- 2021-03-19 CN CN202180027159.0A patent/CN115380297A/zh active Pending
- 2021-03-19 EP EP21714118.3A patent/EP4133437A1/de active Pending
- 2021-03-19 US US17/917,603 patent/US20230145315A1/en active Pending
- 2021-03-19 JP JP2022561594A patent/JP7431347B2/ja active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE10018942A1 (de) * | 2000-04-17 | 2001-10-18 | Cargocom Gmbh | Verfahren zur telemetrischen Ermittlung der sich bei einem Lastkraftwagen ergebenden Gewichtsstrecke |
DE102009047330A1 (de) * | 2009-12-01 | 2011-06-09 | Deutsche Post Ag | Logistikfahrzeug mit RFID-Erfassungssystem |
WO2013138798A1 (en) | 2012-03-15 | 2013-09-19 | Spireon, Inc. | Geospatial data based assessment of driver behavior and performance |
US20190279440A1 (en) * | 2014-09-23 | 2019-09-12 | Autoconnect Holdings Llc | Fleetwide vehicle telematics systems and methods |
DE102018126414A1 (de) | 2017-10-25 | 2019-04-25 | Ford Motor Company | Effizienzdarstellung zum flottenmanagement |
Also Published As
Publication number | Publication date |
---|---|
JP2023521130A (ja) | 2023-05-23 |
DE102020110076A1 (de) | 2021-10-14 |
KR20220151672A (ko) | 2022-11-15 |
CN115380297A (zh) | 2022-11-22 |
EP4133437A1 (de) | 2023-02-15 |
US20230145315A1 (en) | 2023-05-11 |
JP7431347B2 (ja) | 2024-02-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP2915153B1 (de) | Fahrzeugassistenzvorrichtung | |
DE102016123669A1 (de) | Identifizierung von akzeptablen fahrzeugladestationen | |
DE102009038680A1 (de) | System und Verfahren zum Berechnen eines Fahrzeuggesundheitsindex aus Verbunddaten | |
DE102011122191A1 (de) | Verfahren und Vorrichtung zur Unterstützung eines Fahrers bei einer Parkplatzsuche | |
DE102014008429A1 (de) | Verfahren und Vorrichtung zur Ermittlung freier Abstellplätze auf LKW-Parkplätzen und Mitteilung an LKW-Fahrer | |
DE102014003633A1 (de) | Anzeigeeinrichtung für einen Innenraum eines Kraftfahrzeugs und Verfahren zum Betreiben einer solchen | |
DE102013006070A1 (de) | Verfahren und Vorrichtung zur Übermittlung fahrzeugspezifischer Informationen an ein Endgerät eines Nutzers durch Mittel der drahtlosen Kommunikation | |
DE102016006541A1 (de) | Verfahren zum Ermitteln einer Empfehlung für ein anforderungsgerechtes Alternativfahrzeug und zum Übermitteln der Empfehlung an einen Fahrer eines aktuellen Fahrzeugs, Vorrichtung zum Durchführen des Verfahrens und Fahrzeug mit einer solchen Vorrichtung | |
DE102017000557A1 (de) | Verfahren zur Überwachung eines Fahrzeuginnenraums | |
DE102017217131B3 (de) | Verfahren zur Unterstützung einer Parkplatzsuche für einen Fahrzeugführer eines Lastkraftwagens sowie ein System, welches dazu eingerichtet ist, ein solches Verfahren durchzuführen | |
DE102009059870A1 (de) | Verfahren zum Anzeigen von Informationen in einem Fahrzeug und Vorrichtung dazu | |
WO2021204515A1 (de) | Verfahren zum erzeugen eines einsatzzeitenschlüsselindikators, sowie managementsystem | |
EP3802285B1 (de) | Verfahren und fahrzeugsystem zur optimierung von parkvorschlägen | |
DE102019004753A1 (de) | Verfahren zur Koordination einer autonomen Fahrzeugflotte, sowie Fahrzeugflottenkoordinierunssystem | |
DE102018203392A1 (de) | Fahrerassistenzverfahren zum Planen einer Routengestaltung eines Elektrokraftfahrzeuges mit einem oder mehreren Ladestopps an Ladestationen und entsprechende Fahrerassistenzvorrichtung | |
DE102017011023A1 (de) | Verfahren zum Erlernen des Nutzerverhaltens | |
DE102018004441A1 (de) | Verfahren zur Reservierung eines Sonderparkplatzes | |
EP3948719A1 (de) | Verfahren und steuereinrichtung zum automatischen reinigen eines kraftfahrzeugs | |
DE102021200183A1 (de) | Verfahren und Reichweitenermittlungsvorrichtung zur Ermittlung einer zu erwartenden Reichweite eines Fahrzeugs im Anhängerbetrieb | |
WO2011154267A2 (de) | Verfahren zum überwachen des betriebszustands eines fahrzeugs, insbesondere eines elektro- oder hybrid-fahrzeugs | |
DE102020118590A1 (de) | VERFAHREN UND SYSTEM FÜR EINE ZUM AUSGEBEN VON FEEDBACK-AUFFORDERUNGEN KONFIGURIERTE FAHRZEUGAUßENANZEIGE | |
DE102018215017A1 (de) | Verfahren zur Bestimmung einer Betriebsstrategie für Fahrzeug, System, Steuereinrichtung für ein Fahrzeug und ein Fahrzeug | |
DE102018130724A1 (de) | Verfahren zur Durchführung eines bidirektionalen Datentransfers über einen bidirektionalen Kommunikationskanal zwischen einem Fahrzeug und einem Backend-Server, Backend-Server, Fahrzeug und System | |
DE102010055079B4 (de) | Verfahren und Vorrichtung zum Auffinden und Darstellen möglicher gemeinsamer Treffpunkte mehrerer Fahrzeuge | |
DE102022002869A1 (de) | Verfahren zur Bestimmung der Verfügbarkeit von Ladestationen |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 21714118 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 20227034900 Country of ref document: KR Kind code of ref document: A |
|
ENP | Entry into the national phase |
Ref document number: 2022561594 Country of ref document: JP Kind code of ref document: A |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 2021714118 Country of ref document: EP Effective date: 20221109 |