EP3469308A1 - Verfahren zum abstimmen eines treffpunktes eines automatisiert fahrenden kraftfahrzeuges und einem nutzer - Google Patents
Verfahren zum abstimmen eines treffpunktes eines automatisiert fahrenden kraftfahrzeuges und einem nutzerInfo
- Publication number
- EP3469308A1 EP3469308A1 EP17721670.2A EP17721670A EP3469308A1 EP 3469308 A1 EP3469308 A1 EP 3469308A1 EP 17721670 A EP17721670 A EP 17721670A EP 3469308 A1 EP3469308 A1 EP 3469308A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- meeting point
- motor vehicle
- user
- automated
- alternative
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000012790 confirmation Methods 0.000 claims abstract description 6
- 230000007613 environmental effect Effects 0.000 claims abstract description 6
- 238000004590 computer program Methods 0.000 claims description 8
- 238000011156 evaluation Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 abstract 1
- 230000029305 taxis Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3438—Rendez-vous, i.e. searching a destination where several users can meet, and the routes to this destination for these users; Ride sharing, i.e. searching a route such that at least two users can share a vehicle for at least part of the route
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3605—Destination input or retrieval
- G01C21/362—Destination input or retrieval received from an external device or application, e.g. PDA, mobile phone or calendar application
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/0088—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
- G05D1/0285—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using signals transmitted via a public communication network, e.g. GSM network
-
- 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
- G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
Definitions
- the invention relates to a method for tuning a meeting point of an automated moving motor vehicle and a user and an associated computer program and computer program product.
- Automated vehicles will play an important role in road traffic in the future. In particular, the use of transport and freight traffic is being considered. Decisive for the acceptance of such automated moving vehicles in the transport sector is, in addition to safety, reliability.
- the invention is based on the technical problem of providing a method for tuning a meeting point of an automated moving motor vehicle with a user, in which the voting process is optimized. Another technical problem is the creation of an associated computer program and computer program product.
- the method for tuning a meeting point of an automated moving motor vehicle and a user comprises the following method steps: a) input of a desired meeting point by the user by means of a
- the confirmation or the at least one alternative meeting point is transmitted to the terminal of the user,
- the tuning of the meeting point can be optimized, if due to the
- the automated motor vehicle can, for example, a taxi or a
- the user can transmit proposals for alternative T reffen to the headquarters or the automated moving motor vehicle. It can be provided that this alternative meeting place is always accepted or confirmed by the control center or the motor vehicle. Alternatively, for this alternative meeting place, an evaluation can be made beforehand as for the desired meeting place, and then the procedure can be run through completely again accordingly.
- the advantage is that it may be present
- At least one parameter of the user is taken into account in the selection of the at least one alternative meeting place.
- a parameter are, for example, age or the number of pieces of luggage.
- the arrival times of the motor vehicle and the user are taken into account in the selection of the alternative checkpoint (s). This allows the
- Tuning process be optimized so that the user, for example, does not have to wait long.
- the respective expected arrival times can be displayed, so that the user can adjust accordingly.
- alternative meeting points are displayed, which are optimized in particular for the motor vehicle, being offered as compensation to the user a financial compensation, because this z. B. Run a little longer or wait.
- the environment data comprises traffic data and / or event data.
- traffic data For example, when evaluating the desired meeting place, it can be taken into account that a theater performance is about to end at the desired time. Accordingly, it is to be expected that many people on the desired
- Environment data such as parking lots or parking garages are taken into account, as in particular in combination with the event information at the end of an event many vehicles drive from the parking lot or drive out of the parking garage.
- the environment data include postings from other automated motor vehicles.
- it can be recognized, for example, whether there are further orders for the desired meeting place, which could make the assignment more difficult.
- Bookings from other non-automated taxis can also be considered.
- an association between automatically moving motor vehicle and user is changed dynamically. For example, it may be provided that during the navigation to the meeting point, an automatically moving motor vehicle is replaced by another motor vehicle, which is closer to the meeting point, for example. This allows a flexible control of the vehicle fleet and an optimization of the traffic flow.
- the invention will be explained in more detail below with reference to a preferred embodiment.
- the figures show:
- 1 is a schematic block diagram of a device for tuning a
- Fig. 2 a schematic representation of a desired meeting place and a
- 3 is a simplified flowchart of a method for tuning a
- FIG. 1 shows a device 1 for tuning a meeting point of an automatically moving motor vehicle 2, 3 and a user 4. It is assumed that the motor vehicles 2, 3 are self-driving taxis.
- the device 1 further has a center 5, which is connected to a database 6 for environmental data.
- the user 4 transmits via a terminal a desired meeting point and time to the center 5.
- This communication can be wireless (for example, by means of a smartphone) or a wired communication (for example by means of a PC via an Internet connection).
- the center 5 now checks, taking into account the locations of the motor vehicles 2, 3 and the current environment data such as traffic situation, event notes, other bookings of motor vehicles, whether the desired meeting place is easily accessible or how good the assignment between the motor vehicle and users at the desired meeting place likely is. If the desired meeting meets an evaluation criterion, the central office 5 confirms the order and communicates with a suitable motor vehicle 2, 3, in which case the central station 5 sends the corresponding information (meeting point, route, user, destination point, etc.) to the motor vehicle 2, 3 , transmitted. The motor vehicle 2, 3 then automatically moves to the desired meeting point to pick up the user. In this case, the motor vehicle 2, 3 while driving the user continuously inform about his location and planned arrival time.
- the central office 5 confirms the order and communicates with a suitable motor vehicle 2, 3, in which case the central station 5 sends the corresponding information (meeting point, route, user, destination point, etc.) to the motor vehicle 2, 3 , transmitted.
- the motor vehicle 2, 3 then automatically moves to the desired meeting point to pick up
- the center 5 determines at least one alternative meeting point, taking into account at least one parameter of the user 4, such as number of pieces of luggage, age, mobility problems.
- the parameters may already have been transmitted with the original request, or they may have been queried in the dialog.
- the user can then decide whether he wants to hold on to the desired meeting point, confirm the alternative checkpoint or propose his own alternative checkpoint, which is then re-evaluated by the central 5. Subsequently, a suitable motor vehicle 2, 3 is ordered to the meeting point or alternative T reffddling.
- booking As usual, the user uses a smart device for the booking process on a digital road map (eg theater entrance main street TE as desired meeting point T)
- a digital road map eg theater entrance main street TE as desired meeting point T
- Option (2) The user selects from a list, the alternatives were estimated by distance, traffic and luggage and number of persons. Since the user has booked a taxi for 2 people without luggage, a 3-minute walk to the other side of the theater is nothing in the way.
- the motor vehicle changes its route to the alternative starting point.
- step S1 an automatically moving motor vehicle 2, 3 with a meeting point, time, number of people and luggage is booked.
- the control center checks the desired meeting place. If the rating S3 is positive, the booking is confirmed in a step S4 and the motor vehicle 2, 3 is navigated to the meeting point in step S5. If, on the other hand, the evaluation is negative, alternative checkpoints are transmitted in step S6 and checked by the user in step S7. If the user confirms the original meeting point or an alternative meeting point according to S6, this will be in one Step S8.1 transmitted to the center and the process continues with S5. If, on the other hand, the user enters his own alternative meeting point in a step S8.2, then this is rated again (S2).
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Game Theory and Decision Science (AREA)
- Medical Informatics (AREA)
- Business, Economics & Management (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102016210494.2A DE102016210494B4 (de) | 2016-06-14 | 2016-06-14 | Verfahren zum Abstimmen eines Treffpunktes eines automatisiert fahrenden Kraftfahrzeuges und einem Nutzer |
PCT/EP2017/060726 WO2017215831A1 (de) | 2016-06-14 | 2017-05-04 | Verfahren zum abstimmen eines treffpunktes eines automatisiert fahrenden kraftfahrzeuges und einem nutzer |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3469308A1 true EP3469308A1 (de) | 2019-04-17 |
Family
ID=58671671
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP17721670.2A Withdrawn EP3469308A1 (de) | 2016-06-14 | 2017-05-04 | Verfahren zum abstimmen eines treffpunktes eines automatisiert fahrenden kraftfahrzeuges und einem nutzer |
Country Status (5)
Country | Link |
---|---|
US (1) | US10996066B2 (de) |
EP (1) | EP3469308A1 (de) |
CN (1) | CN109313038A (de) |
DE (1) | DE102016210494B4 (de) |
WO (1) | WO2017215831A1 (de) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3796271B1 (de) * | 2019-09-19 | 2023-11-08 | Volkswagen AG | Ermitteln von berechtigungen beim anfahren von orten mit einem autonomen kraftfahrzeug |
DE102020210291A1 (de) | 2020-08-13 | 2022-02-17 | Volkswagen Aktiengesellschaft | Verfahren und System zum Bestimmen einer Abholposition für einen Nutzer |
CN112444264B (zh) * | 2021-01-29 | 2021-05-11 | 新石器慧义知行智驰(北京)科技有限公司 | 一种基于无人车的用户路径引导方法、装置及无人驾驶车辆 |
Citations (3)
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DE102010003610A1 (de) * | 2010-04-01 | 2011-10-06 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Verfahren, System und Abgleichmittel zum automatisierten Abgleich von dynamischen Fahrtrouten mit ortsbezogenen Mitfahranfragen |
EP2767963A1 (de) * | 2013-02-18 | 2014-08-20 | Harman Becker Automotive Systems GmbH | System und Verfahren zur automatischen Planung |
US20150219464A1 (en) * | 2014-02-04 | 2015-08-06 | Here Global B.V. | Method and apparatus for providing passenger embarkation points for points of interests |
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DE10343486A1 (de) * | 2003-09-19 | 2005-04-14 | Robert Bosch Gmbh | System für die Vermittlung von Diensten |
JPWO2006112172A1 (ja) | 2005-03-31 | 2008-12-04 | パイオニア株式会社 | ナビゲーション装置 |
US20100161210A1 (en) | 2008-12-24 | 2010-06-24 | Andrew Watkins | Method of Determining a Rendezvous and Related Personal Navigation Device |
US9958280B2 (en) * | 2011-08-16 | 2018-05-01 | Inrix, Inc. | Assessing inter-modal passenger travel options |
CN102509449B (zh) * | 2011-10-24 | 2014-01-15 | 北京东方车云信息技术有限公司 | 基于模糊决策的车辆调度方法 |
CN104732471A (zh) * | 2015-04-03 | 2015-06-24 | 北京嘀嘀无限科技发展有限公司 | 汇合位置选择方法与系统 |
US20160364812A1 (en) * | 2015-06-11 | 2016-12-15 | Raymond Cao | Systems and methods for on-demand transportation |
US20160364679A1 (en) * | 2015-06-11 | 2016-12-15 | Raymond Cao | Systems and methods for on-demand transportation |
US9904900B2 (en) * | 2015-06-11 | 2018-02-27 | Bao Tran | Systems and methods for on-demand transportation |
US20160364823A1 (en) * | 2015-06-11 | 2016-12-15 | Raymond Cao | Systems and methods for on-demand transportation |
CN105046331A (zh) * | 2015-06-30 | 2015-11-11 | 百度在线网络技术(北京)有限公司 | 订单匹配方法及装置 |
CN105069055B (zh) * | 2015-07-27 | 2018-07-27 | 福建工程学院 | 一种搭乘出租车的推荐方法、系统及客户端 |
DE102015010748A1 (de) * | 2015-08-17 | 2016-03-24 | Daimler Ag | Verfahren zum Vermitteln einer Transportdienstleistung |
US10685416B2 (en) * | 2015-12-10 | 2020-06-16 | Uber Technologies, Inc. | Suggested pickup location for ride services |
US20180156623A1 (en) * | 2016-12-05 | 2018-06-07 | Microsoft Technology Licensing, Llc | Generating travel instructions in multimodal transportation scenarios |
US10331727B2 (en) * | 2016-12-07 | 2019-06-25 | Google Llc | Graphical user interface to display commonly categorized entities |
US10371539B2 (en) * | 2017-03-09 | 2019-08-06 | Lyft, Inc. | Determining matches using dynamic provider eligibility model |
US10408624B2 (en) * | 2017-04-18 | 2019-09-10 | Microsoft Technology Licensing, Llc | Providing familiarizing directional information |
US10419878B1 (en) * | 2017-07-24 | 2019-09-17 | BlueOwl, LLC | Technology for capturing and analyzing sensor data to facilitate alternative transportation |
CA3119273A1 (en) * | 2018-11-09 | 2020-05-14 | Iocurrents, Inc. | Machine learning-based prediction, planning, and optimization of trip time, trip cost, and/or pollutant emission during navigation |
-
2016
- 2016-06-14 DE DE102016210494.2A patent/DE102016210494B4/de active Active
-
2017
- 2017-05-04 US US16/308,833 patent/US10996066B2/en active Active
- 2017-05-04 WO PCT/EP2017/060726 patent/WO2017215831A1/de unknown
- 2017-05-04 EP EP17721670.2A patent/EP3469308A1/de not_active Withdrawn
- 2017-05-04 CN CN201780037168.1A patent/CN109313038A/zh active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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DE102010003610A1 (de) * | 2010-04-01 | 2011-10-06 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Verfahren, System und Abgleichmittel zum automatisierten Abgleich von dynamischen Fahrtrouten mit ortsbezogenen Mitfahranfragen |
EP2767963A1 (de) * | 2013-02-18 | 2014-08-20 | Harman Becker Automotive Systems GmbH | System und Verfahren zur automatischen Planung |
US20150219464A1 (en) * | 2014-02-04 | 2015-08-06 | Here Global B.V. | Method and apparatus for providing passenger embarkation points for points of interests |
Non-Patent Citations (1)
Title |
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See also references of WO2017215831A1 * |
Also Published As
Publication number | Publication date |
---|---|
US20190257663A1 (en) | 2019-08-22 |
DE102016210494B4 (de) | 2019-05-16 |
WO2017215831A1 (de) | 2017-12-21 |
DE102016210494A1 (de) | 2017-12-14 |
US10996066B2 (en) | 2021-05-04 |
CN109313038A (zh) | 2019-02-05 |
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