EP3233602A1 - Method for predicting the speed of a driver driving a vehicle - Google Patents
Method for predicting the speed of a driver driving a vehicleInfo
- Publication number
- EP3233602A1 EP3233602A1 EP15820086.5A EP15820086A EP3233602A1 EP 3233602 A1 EP3233602 A1 EP 3233602A1 EP 15820086 A EP15820086 A EP 15820086A EP 3233602 A1 EP3233602 A1 EP 3233602A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- speed
- driver
- vehicle
- driving
- prediction method
- 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- Withdrawn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 37
- 230000001133 acceleration Effects 0.000 claims description 8
- 239000004020 conductor Substances 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 2
- 230000006399 behavior Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/14—Adaptive cruise control
- B60W30/143—Speed control
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/143—Alarm means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/146—Display means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
- B60W2540/30—Driving style
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
- B60W2556/50—External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
Definitions
- the present invention relates to the speed prediction of a driver driving a vehicle on a driving zone. This invention applies in particular in the field of motor vehicles.
- ABS brake assist systems
- ESP electronic trajectory correctors
- Speed control systems or speed limiters allow a driver to set a maximum speed that should not be exceeded.
- speed control systems do not adapt, and if they prevent driving at too great speeds, they can not guarantee that the driver is driving at a suitable speed, for example in driving areas or situations particular driving modes, such as turning zones.
- the governors or speed limiters are controlled by the driver, which itself sets a maximum speed, without necessarily being aware of its driving profile with respect to a path to be completed.
- the present invention seeks to overcome these disadvantages by providing a speed prediction method that is both adapted to the driver of the vehicle and a driving zone on which the vehicle will move.
- the present invention also provides a method for previously determining driver categories and reference profiles associated with these categories.
- the invention relates to a method for predicting the speed relative to the road of a driver driving a vehicle, comprising the following steps:
- this measured speed is compared with a set of velocity profiles, each profile corresponding to a predetermined class of conductors,
- the driver speed is predicted over a second driving zone according to the reference profile of the selected category.
- the invention relates to a prediction method further comprising the following steps:
- the predicted speed is corrected according to this distance.
- the prediction method is such that, in addition to the speed of the driver, the acceleration of the driver is measured on the first driving zone, and this measurement of the acceleration is used to select the relevant class of drivers.
- the step of predicting the speed consists in assigning to the driver the average speed of the selected category on the second driving zone, or on a driving zone having similarities with the approximate driving zone. by the vehicle.
- the prediction method further comprises the step of correcting the predicted speed as a function of external parameters.
- parameters are, for example, included in the group comprising: meteorological parameters, parameters relating to the state of the road, parameters relating to car traffic and parameters relating to the vehicle.
- the prediction method comprises a step of transmitting the predicted speed to a driver assistance device installed on the vehicle.
- driver assistance device is meant for example a device of the type "adaptive cruise control”.
- the prediction method comprises a step of transmitting the predicted speed to a display device and / or alert, audible and / or visual, available to the driver of the vehicle.
- the invention also relates to a method for determining speed profiles for a speed determination method, in which the method comprises the following steps: data are obtained that are representative of the driving speed of a group. predetermined number of drivers on a predefined driving zone, each driver being considered as an individual,
- a profile speed is determined for each class thus determined.
- the hierarchical classification used is a hierarchical ascending classification, or CAH.
- the steps for categorizing individuals into a predetermined number of categories can be used independently of the present invention. Indeed, we can consider using the categorization of individuals to, for example, perform the marketing of services based on an individual profile.
- the hierarchical classification is performed using only a portion of the data, the data being selected from observations made on predetermined relevant driving areas.
- the principle of this classification is, using a concept of adequate distance, to group the users in classes, each as homogeneous as possible and, between them, as distinct as possible.
- the classes are such that the intra-class variance is minimized, while the intergroup variance is maximized.
- the speed of an individual is recorded during several passages on the same course, each passage giving rise to a set of observations.
- the distance between the reference speeds of each of these users is calculated.
- the number of classes used is chosen a posteriori, and is considered adequate if the interclass variance does not decrease significantly by adding a class.
- the categories are determined using not all available observations, but only part of these observations. For example, observations on relevant driving areas, such as turns or areas of high acceleration, will be chosen.
- the relevant driving areas are for example determined by mapping the driving area, or by a vehicle behavior during a passage on these areas, the behavior being for example analyzed in view of a speed and / or a vehicle acceleration on these areas.
- the reference speed used for the classification can be chosen in different ways.
- the reference speed is the median speed among the different passage speeds of a user.
- the distance between the reference speed of this new individual and the profile speed of each of the classes is determined. We then classify the individual in the class for which this distance is the smallest.
- the reference speed of the individual is determined on a path declared beforehand by the individual. To know the characteristics of this path, one can for example enrich the process by the use of cartographic data.
- the reference speed of the individual is determined on a set of predefined characteristic zones.
- a characteristic zone is, for example: a curve having a certain radius of curvature, a zone of sudden acceleration, a steep slope.
- the speed is predicted at each time unit taking into account the categories and assigning each driver the profile speed of the category.
- speed profile is meant a statistically determined speed, included in the group comprising: the average speed of individuals of a category, the median speeds of individuals of a category, a quantile of any order of the distribution speeds of individuals in a category or other statistical estimator representative of the speeds of all individuals in a category.
- the step of predicting the speed of the driver on a second driving zone is to predict the speed in a finite number of points of the second driving zone, and to make an approximation between these points.
- the speed is predicted only in certain specific areas, where the speed varies greatly, and an approximation is made between these zones.
- Such an embodiment makes it possible to reduce the computing power used for the prediction. It is specified here that the choice of points is made according to speed variations, and therefore does not necessarily have a regular distribution on the driving zone.
- the speed thus predicted is corrected according to external parameters, such as, for example
- meteorological data data relating to the taxiway, such as, for example, information concerning a locally reduced level of adhesion
- the predicted speed is corrected by using a statistically observed sub-behavior of this individual on characteristic areas, such as turns.
- the predicted speed is corrected by using the distance of the individual to the average of his class.
- this prediction can be refined, especially for individuals at the end of each category.
- the reference profiles are initially downloaded into a memory on a vehicle
- the profile thus determined is stored in memory, and
- the speed is predicted according to this reference profile.
- the implementation of the method may comprise a step of category change of an individual, if the records on the beginning of a path show too great a dispersion with respect to a category determined at prior.
- the driver profile is not stored on a vehicle memory, but on a remote database.
- the vehicle retrieves information from this database when an individual moves behind the wheel via telecommunications means installed on the vehicle.
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Traffic Control Systems (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1462495A FR3029878B1 (en) | 2014-12-16 | 2014-12-16 | METHOD FOR PREDICTING THE SPEED OF A DRIVER AT THE STEERING WHEEL OF A VEHICLE |
PCT/EP2015/080070 WO2016097037A1 (en) | 2014-12-16 | 2015-12-16 | Method for predicting the speed of a driver driving a vehicle |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3233602A1 true EP3233602A1 (en) | 2017-10-25 |
Family
ID=53269547
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP15820086.5A Withdrawn EP3233602A1 (en) | 2014-12-16 | 2015-12-16 | Method for predicting the speed of a driver driving a vehicle |
Country Status (5)
Country | Link |
---|---|
US (1) | US20170341659A1 (en) |
EP (1) | EP3233602A1 (en) |
CN (1) | CN107438547B (en) |
FR (1) | FR3029878B1 (en) |
WO (1) | WO2016097037A1 (en) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR3020680B1 (en) | 2014-05-02 | 2017-11-24 | Michelin & Cie | SYSTEM FOR EVALUATING THE CONDITION OF A TIRE |
FR3030744A1 (en) | 2014-12-17 | 2016-06-24 | Michelin & Cie | SYSTEM FOR EVALUATING THE CONDITION OF A TIRE |
FR3030374B1 (en) | 2014-12-17 | 2017-01-13 | Michelin & Cie | METHOD FOR DETECTING AND WARNING OF THE UNDER-INFLATION CONDITION OF A TIRE |
FR3036354A1 (en) | 2015-05-20 | 2016-11-25 | Michelin & Cie | METHOD FOR DETERMINING A RUNNING LIMIT SPEED |
FR3051423B1 (en) | 2016-05-20 | 2018-05-25 | Compagnie Generale Des Etablissements Michelin | METHOD FOR PROPOSING A RUNNING SPEED |
FR3052727B1 (en) | 2016-06-16 | 2018-06-01 | Compagnie Generale Des Etablissements Michelin | METHOD FOR DETERMINING A REFERENCE DRIVING CLASS |
DE102016214822B4 (en) * | 2016-08-10 | 2022-06-09 | Audi Ag | Method for assisting a driver in driving a motor vehicle |
FR3079954B1 (en) * | 2018-04-10 | 2023-03-10 | Continental Automotive France | PREDICTIVE MACHINE LEARNING FOR PREDICTING A FUTURE SPEED OF A MOVING MOTOR VEHICLE ON A ROAD |
CN111693723B (en) * | 2020-05-29 | 2022-04-22 | 阿波罗智联(北京)科技有限公司 | Speed prediction method and device and electronic equipment |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2004110809A1 (en) * | 2003-06-04 | 2004-12-23 | Daimlerchrysler Ag | Curve rollover warning system for trucks |
EP3690596A3 (en) * | 2005-06-01 | 2020-12-09 | Allstate Insurance Company | Motor vehicle operating data collection and analysis |
US7400963B2 (en) * | 2005-12-09 | 2008-07-15 | Gm Global Technology Operations, Inc. | Speed control method for vehicle approaching and traveling on a curve |
EP2537727B1 (en) * | 2011-06-22 | 2015-03-11 | Volvo Car Corporation | Method for estimating a speed profile for a vehicle |
DE102012215100A1 (en) * | 2012-08-24 | 2014-02-27 | Continental Teves Ag & Co. Ohg | Method and system for promoting a uniform driving style |
JP2014096070A (en) * | 2012-11-09 | 2014-05-22 | International Business Maschines Corporation | Method for predicting change point of continuous time-sequential data beforehand, computer program, and computer |
US9569984B2 (en) * | 2012-12-11 | 2017-02-14 | Abalta Technologies, Inc. | Recording, monitoring, and analyzing driver behavior |
DE102012024649A1 (en) * | 2012-12-17 | 2014-06-18 | Valeo Schalter Und Sensoren Gmbh | Method for determining driving behavior of motor vehicle driver by driver assistance system of motor vehicle, involves determining behavior determination parameter for determining driving behavior depending on environment information |
DE102013209787A1 (en) * | 2013-05-27 | 2014-04-30 | Zf Friedrichshafen Ag | Driver type method for determining parameter e.g. speed of vehicle e.g. motor vehicle, involves determining driver type forward-looking route parameter of vehicle lying route based on determined driving activity of driver |
DE102013210883A1 (en) * | 2013-06-11 | 2014-12-11 | Robert Bosch Gmbh | Method and device for operating a vehicle |
SE539477C2 (en) * | 2014-07-07 | 2017-09-26 | Scania Cv Ab | Control of an internal combustion engine in connection with freewheeling |
-
2014
- 2014-12-16 FR FR1462495A patent/FR3029878B1/en not_active Expired - Fee Related
-
2015
- 2015-12-16 US US15/534,786 patent/US20170341659A1/en not_active Abandoned
- 2015-12-16 EP EP15820086.5A patent/EP3233602A1/en not_active Withdrawn
- 2015-12-16 WO PCT/EP2015/080070 patent/WO2016097037A1/en active Application Filing
- 2015-12-16 CN CN201580069049.5A patent/CN107438547B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN107438547A (en) | 2017-12-05 |
US20170341659A1 (en) | 2017-11-30 |
FR3029878B1 (en) | 2017-01-13 |
WO2016097037A1 (en) | 2016-06-23 |
CN107438547B (en) | 2020-07-28 |
FR3029878A1 (en) | 2016-06-17 |
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RIN1 | Information on inventor provided before grant (corrected) |
Inventor name: MARTIN, DENIS Inventor name: DUVERNIER, MARC Inventor name: CHOURY, ANNA Inventor name: GANDAR, BENOIT Inventor name: PETIT, CLEMENT Inventor name: BESSE, PHILIPPE Inventor name: LOUBES, JEAN-MICHEL |
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