[go: up one dir, main page]

WO2019072879A1 - Procédé et dispositif pour déterminer une valeur de frottement d'une chaussée - Google Patents

Procédé et dispositif pour déterminer une valeur de frottement d'une chaussée Download PDF

Info

Publication number
WO2019072879A1
WO2019072879A1 PCT/EP2018/077532 EP2018077532W WO2019072879A1 WO 2019072879 A1 WO2019072879 A1 WO 2019072879A1 EP 2018077532 W EP2018077532 W EP 2018077532W WO 2019072879 A1 WO2019072879 A1 WO 2019072879A1
Authority
WO
WIPO (PCT)
Prior art keywords
road
friction
condition data
data
roadway
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.)
Ceased
Application number
PCT/EP2018/077532
Other languages
German (de)
English (en)
Inventor
Simon GEISLER
Christian Lellmann
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Robert Bosch GmbH
Original Assignee
Robert Bosch GmbH
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Robert Bosch GmbH filed Critical Robert Bosch GmbH
Publication of WO2019072879A1 publication Critical patent/WO2019072879A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • 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
    • B60W40/02—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 ambient conditions
    • B60W40/06—Road conditions
    • B60W40/068—Road friction coefficient
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
    • G08G1/096741—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096775—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
    • 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
    • B60W2552/00—Input parameters relating to infrastructure
    • 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
    • B60W2555/00—Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
    • B60W2555/20—Ambient conditions, e.g. wind or rain
    • 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
    • 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
    • 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
    • B60W2556/55—External transmission of data to or from the vehicle using telemetry

Definitions

  • the present invention relates generally to the field of determining friction coefficients of a roadway.
  • the invention relates to a method for determining a coefficient of friction of a road and / or a method for creating a friction coefficient map.
  • the invention relates to a device, in particular a data processing device, for determining a
  • Frictional coefficients for lanes are often determined and / or measured based on a direct and active coefficient of friction measurement.
  • Friction value measurement are usually used special measuring vehicles with a Reibwertmesstechnik. Examples of such measuring vehicles are the so-called “Surface Friction Tester” and the “Sideway-force Coefficient Routine Investigation Machine” in which Reibmesshong the roadway are determined based on a force measurement.
  • the measuring vehicle may have a three-wheeled vehicle trailer with the third wheel in the physical boundary area, i. until the tire stops, can be braked.
  • About the required braking force and / or the necessary braking torque can be the friction force and determine with the help of the known normal force of the coefficient of friction between the road and the third wheel.
  • the frictional force can be determined, for example, by a lateral force of a fifth wheel inclined at about 20 ° to the direction of travel.
  • the coefficient of friction can be determined by knowing the normal force.
  • coefficients of friction of a roadway can advantageously be determined reliably, quickly and with high accuracy.
  • One aspect of the invention relates to a method for determining a coefficient of friction of a roadway and / or a coefficient of friction between a vehicle, such as a tire of the vehicle, and the roadway.
  • the coefficient of friction may denote a coefficient of friction between the roadway and the vehicle.
  • the roadway may refer to a road of a road network, a parking lot, a runway, a runway and / or any other vehicle drivable area.
  • the method is characterized in particular by the following steps:
  • Road condition data correlate with a road surface condition
  • the winter service and / or the street cleaning service may designate a road service.
  • the winter service may include, for example, one or more snow clearance vehicles for sprinkling salt and / or gravel on the roadway.
  • the winter service one or more
  • the street cleaning service may include one or more
  • Street cleaning vehicles include, which serve for cleaning the roadway, such as by means of water and / or by means of a sweeper.
  • the road condition data may be from the winter service and / or the
  • Street cleaning service for example, be provided via a server.
  • the road condition data may be provided by at least one clearance vehicle and / or at least one road cleaning vehicle, such as via a suitable data communication interface.
  • the road condition data may in particular describe the surface condition of the roadway, a condition of the roadway and / or a condition of a surface, such as a road surface.
  • the road condition data may indicate at which position and / or in which portion of the roadway the roadway has been cleaned and / or at which position salt has been scattered on the roadway.
  • the road condition data may indicate at which position and / or in which portion of the roadway the roadway has been cleaned and / or at which position salt has been scattered on the roadway.
  • Road condition data indicate at what position and / or in which section of the road snow has been cleared. Also, the
  • Road condition data include time information and indicate, for example, when was cleared on the road snow and / or when salted. Furthermore, the road condition data can also
  • Information regarding a type of used clearing vehicle and / or road cleaning vehicle include. Also, information regarding a salt type used, a salt amount, a salt amount scattered per unit time and / or area unit, an amount of water used per unit time and / or unit area, or the like may include.
  • At least a part of the road condition data can be assigned to at least one position and / or to a section of the roadway. Further, the part of the road condition data is assigned to at least one time point at which the part of the road condition data was acquired. The time may also designate a period of time within which the road condition data has been recorded and / or determined. In other words, the road condition data can be referenced in position and time. Based on and / or using the portion of the road condition data, the coefficient of friction of the roadway at the at least one position and / or in the section and at least one point in time and / or in the time period can then be estimated, estimated and / or calculated.
  • sensor data from vehicles such as data from acceleration sensors, gyro sensors, ESP sensors, yaw rate sensors or the like, as well as weather data and / or road sensor data, such as smoothness sensors, humidity sensors and / or
  • Temperature sensors are used to determine the coefficient of friction.
  • the actual coefficient of friction can be determined using the road condition data and possibly other data, for example using a geostatistical method.
  • the method may be considered to be based on the findings described below.
  • the current developments in the area of networked vehicles allow connectivity units to exchange
  • Weather sensors and road-side sensors make it possible to estimate a coefficient of friction for road sections. This information can then be used for further functional development with the aim of increasing safety and comfort.
  • a precision of the determination of the coefficient of friction and / or an accuracy of the determined coefficient of friction can advantageously be increased. If, for example, the coefficient of friction is determined on the basis of weather data, it may happen that an excessively low coefficient of friction is estimated, since, for example, the roadway has already been cleared of snow and / or salt has been scattered. To take this into account, it is provided according to the invention to determine the coefficient of friction based on the road condition data. For example, an amount of salt on the roadway can advantageously be used to determine the coefficient of friction, since the formation of a snow and / or ice layer can be prevented by scattering salt or the layer can be degraded and / or dissolved, which is the coefficient of friction raised again.
  • Constellations come in which, for example, the weather conditions would cause low coefficients of friction, but these are not actually present, as was intervened by the scattering of salt. It may therefore be advantageous for the friction coefficient determination to know whether and how much salt was distributed on the road and / or whether the roadway has been cleared of snow.
  • the friction value can be estimated with higher accuracy.
  • the road condition data can also be used to check the plausibility of a friction coefficient determined on the basis of other data.
  • Another advantage of the proposed method is that many road condition data, such as swarming knowledge, can be used. Thus, individual errors of the sensors have little effect and statistical evaluations can provide good results. Furthermore, by using the road condition data, a significant improvement in friction coefficient estimation can be made. Also, it is conceivable the remaining
  • Road condition data Data from at least one clearing vehicle and / or from at least one road cleaning vehicle.
  • Clearing vehicle and / or the at least one street cleaning vehicle can be equipped with a GPS sensor and so local
  • Position data of at least one clearing vehicle and / or at least one road cleaning vehicle to the at least one position of the roadway be assigned. In this way it can be determined, for example, which position or which section of the roadway has been cleared of snow and / or at which position or on which section salt was sprinkled. So that the coefficient of friction at the corresponding position and / or the portion of the roadway can be determined with high accuracy.
  • Road conditions data a time information.
  • the at least part of the road condition data may be based on
  • Time information of the road condition data are assigned to the at least one time. In this way, for example, it can be determined when a section of the road has been cleared and / or salted. In this way, it is also possible to determine the point in time and / or a time period in which the determined coefficient of friction is likely to be valid and / or high
  • Probability may correspond to an actual coefficient of friction of the roadway.
  • Road condition data having a salt amount distributed on the road surface, a snow clearing operation, a salt type of salt distributed on the road surface, a road cleaning operation, an amount of water distributed on the road surface, and / or a slab amount distributed on the road surface.
  • the method further comprises the following step:
  • a salt type one at the at least one Position of the roadway and to the at least one time distributed on the road salt, one at the at least one position of the road and at least one time performed road cleaning operation, one at the at least one position of the road and at least one time distributed on the road Amount of water, and / or distributed at the at least one position of the road and at least one time on the road surface Rollsplittmenge.
  • the road condition data can be evaluated in terms of position and time so as to enable a reliable estimation and / or determination of the coefficient of friction.
  • the method further comprises a step of determining a plurality of friction values at a plurality of positions of the roadway and / or for a plurality of points in time. Furthermore, the method has a step of creating a coefficient map based on the plurality of determined coefficients of friction.
  • a coefficient map may be advantageous in particular with regard to an autonomous driving of vehicles, since based on such a coefficient map, for example, a speed of a vehicle can be automatically adapted to the currently existing coefficient of friction.
  • the friction coefficient card can be a digital one
  • Friction values entered in a coefficient of friction map can be found here for example, to automatically set vehicle speeds before bends, for example. So can dangerous situations or accidents by agreement from the lane, especially in difficult
  • the method further comprises the step of receiving, from a road user, a request for a coefficient of friction at a request position and / or for a request time. Furthermore, the method has the step of determining the coefficient of friction at the request position and / or for the request time. Furthermore, the
  • the inventive method can be implemented, for example, in a server and / or a server-based data processing device.
  • road users can request a friction value in real time for any request positions and / or at any desired request time, and in accordance with the ascertained
  • Friction for example, a driving behavior, such as a speed adapt.
  • a functionality of the method according to the invention can be made available to any number of road users, without requiring a cost-intensive upgrade of the vehicles.
  • Another aspect of the invention relates to a data processing device for determining a coefficient of friction of a road, wherein the
  • Data processing device is adapted to perform the method as described above and below.
  • Data processing device can also be a network of
  • Data processing devices such as a cloud environment denote.
  • Data processing device a data memory for storing the
  • Road condition data a processor, and an interface for transmitting a coefficient of friction.
  • the data memory can be a program element deposited, who it is carried out on the processor, which
  • the interface may be a wireless interface for bidirectional communication between a vehicle and the data processing device.
  • the communication can be about the Internet, a mobile network and / or a
  • Telephone network done. About the interface can be about the request of
  • Received friction coefficient of the vehicle and the friction coefficient then determined are sent to the vehicle.
  • Fig. 1 shows a data processing apparatus according to a
  • Fig. 2 shows a system with a data processing apparatus according to an embodiment of the invention.
  • FIG. 3 shows a flowchart for illustrating steps of a method for determining a coefficient of friction according to an exemplary embodiment of the invention.
  • Fig. 1 shows a data processing apparatus 10 according to a
  • the data processing device 10 has a data memory 12 for storing road status data 14 and / or a data set 16 of road status data 14.
  • the road condition data 14 come from a winter service 50 and / or a street cleaning service 50, which one or more vehicles 52, such as clearing vehicles 52 and / or
  • Street cleaning vehicles 52 may have.
  • the data processing device 10 has a processor 18.
  • Data processing device 10 may be deposited about a program element which, when executed on the processor 18, the
  • Data processing apparatus 10 instructs to carry out steps of the method for determining a coefficient of friction ⁇ (8, t) at a position s of the roadway and at a time t, as described above and below.
  • the data processing device 10 is set up to determine the coefficient of friction p (s, t) at the position s of the roadway and at the time t based on the road condition data 14. Generally describe the
  • Road condition data 14 a surface condition and / or a
  • Position data of at least one clearing vehicle 52 and / or at least one road cleaning vehicle 52 include. Also, the
  • Road status data 14 include a time information and / or indicate a time in which the road condition data 14 has been detected.
  • the road condition data 14 may be representative of a salt amount distributed on the road, a snow clearing process, a salt type of salt distributed on the road, a road cleaning process, a quantity of water distributed on the road surface, and / or a rolling chippings amount distributed on the road surface
  • the data processing device 10 may be configured to derive this information from the road condition data so as to determine the coefficient of friction ⁇ with high accuracy.
  • the data processing device 10 has an interface 20.
  • the interface 20 may be an interface 20 for wireless communication with a road user 22, such as a vehicle 22.
  • the interface 20 can be designed for bidirectional communication with the road user 22, wherein the communication can take place, for example, via the Internet, a mobile radio network, a telephone network and / or another suitable data transmission network.
  • Road user 22 may be about a request for a coefficient of friction ⁇ at a Request item and / or for a request time to the
  • Data processing device 10 which can receive this request via the interface 20.
  • the data processing device 10 can also be designed and / or configured to determine the corresponding coefficient of friction ⁇ , as described above and in detail below, and to send the coefficient of friction ⁇ to the road user 22 via the interface 20.
  • the data processing device 10 may receive the road condition data 14 via the interface 20.
  • the interface 20 may receive the road condition data 14 via the interface 20.
  • Street cleaning service 50 about a server of the winter service 50 and / or the street cleaning service 50, are received. Also, the vehicles 52 of the winter service 50 and / or the
  • Data processing device 10 transmit.
  • the data processing device 10 may in particular designate and / or include one or more servers.
  • the data processing device 10 may in particular designate and / or include one or more servers.
  • the servers may in particular designate and / or include one or more servers.
  • FIG. 2 shows a system 100 with a data processing device 10 according to an embodiment of the invention. Unless otherwise described, the data processing apparatus 10 of Figure 2 has the same elements and
  • the system 100 includes a weather information station 102 that provides the data processing device 10 with up-to-date and / or predicted weather data, such as temperature, air pressure, humidity, precipitation rate, or the like.
  • the system 100 has a road sensor station 104, which supplies the data processing device 10 with road sensor data and / or
  • Road sensor data such as smoothness sensor data
  • Moisture sensor data, temperature data or the like provides.
  • the data processing device 10 is further provided with vehicle sensor data from one or more vehicles 106.
  • vehicle sensor data may be data from acceleration sensors, gyro sensors, ESP sensors, yaw rate sensors or the like. These data can be wirelessly transmitted over a telephone network, in particular a mobile radio network, to the
  • Data processing device 10 are transmitted.
  • road condition data 14 from the winter service 50, the road cleaning service 50, and / or the vehicles 52 of the winter service 50 and the road cleaning service 50 are provided to the system 100, respectively.
  • the system 100 has a connection to the Internet 108 via which additional data relating to a roadway and / or a
  • Road network can be queried by the data processing device 10.
  • Data processing device 10 a coefficient of friction ⁇ at a position s of a road and for a time t. However, to determine the coefficient of friction ⁇ , the data processing device 10 can also store weather data.
  • road sensor data Use road sensor data, vehicle sensor data and / or other data so as to determine location-dependent and / or time-dependent friction coefficients ⁇ (8, t).
  • the road condition data 14 the weather data
  • the weather data the weather data
  • Road sensor data, the vehicle sensor data and / or the other data are processed by means of a particle filter and / or a Kalman filter in time sequences to aggregate a location-dependent and / or time-dependent coefficient of friction ⁇ .
  • This coefficient of friction ⁇ can then be sent to the road user 22 via the interface 20 of the data processing device 10 in order to provide the road user 22 with information about the current coefficient of friction.
  • the data processing device 10 may be configured to determine a plurality of coefficients of friction ⁇ for different roadway positions s and / or for different times t and to generate a coefficient of friction map.
  • the friction coefficient map may designate a road map, in particular a digital road map, with friction coefficients ⁇ entered therein. Also, such a friction coefficient map can be sent to the road user 22.
  • FIG. 3 shows a flow chart for illustrating steps of a method for determining a coefficient of friction ⁇ according to an exemplary embodiment of FIG. 3
  • a record 16 of road condition data 14 of a winter service 50 and / or a road cleaning service 50 is provided.
  • step Sl preprocessing and / or
  • step S2 at least part of the road condition data 14 is assigned to at least one position s and / or at least one section s of the road, for example based on position data of at least one clearing vehicle 52 and / or at least one road cleanup vehicle 52 Location information from the
  • Road condition data 14 are determined and / or derived.
  • step S3 at least the part of the road condition data 14 is at least one time t at which the part of the road
  • Road condition data 14 is recorded, assigned, based approximately on
  • the time information can also be derived from the road condition data 14.
  • step S4 from the road condition data 14, one at the at least one position s of the roadway and to the at least one
  • step S5 At least coefficient of friction ⁇ of the roadway at the at least one position s of the roadway and at least one time point t based on and / or using the road condition data 14 is determined. For this purpose, in particular those determined in step S4
  • steps S1 to S5 can also be run through several times, so that friction coefficients ⁇ can be determined at a plurality of different roadway positions s and / or at different times.
  • a friction coefficient map can be created, for example by
  • the Reibwert badge can be transmitted to the road user 22 and / or the Reibwert badge can be outputted approximately on a user interface of the data processing device 10 and / or stored in the data memory 12.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Atmospheric Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Mathematical Physics (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)

Abstract

La présente invention concerne un procédé de détermination d'une valeur de frottement (μ) d'une chaussée. À cet effet, on utilise un ensemble (16) de données d'état de route (14) d'un service (50) d'entretien hivernal des routes et/ou d'un service (50) de nettoyage des routes, les données d'état de route (14) étant corrélées avec une propriété de la surface de la chaussée. De plus, au moins une partie des données d'état de route (14) est associée à au moins une position (s) de la chaussée et au moins la partie des données d'état de route (14) est associée à au moins un instant (t) auquel la partie des données d'état de route (14) a été détectée. De plus, au moins une valeur de frottement (μ) de la chaussée à la ou aux positions (s) de la chaussée et à l'instant ou aux instants (t) est déterminée sur la base au moins de la partie des données d'état de route (14).
PCT/EP2018/077532 2017-10-13 2018-10-10 Procédé et dispositif pour déterminer une valeur de frottement d'une chaussée Ceased WO2019072879A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102017218386.1 2017-10-13
DE102017218386.1A DE102017218386A1 (de) 2017-10-13 2017-10-13 Verfahren und Vorrichtung zum Ermitteln eines Reibwertes einer Fahrbahn

Publications (1)

Publication Number Publication Date
WO2019072879A1 true WO2019072879A1 (fr) 2019-04-18

Family

ID=63878644

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2018/077532 Ceased WO2019072879A1 (fr) 2017-10-13 2018-10-10 Procédé et dispositif pour déterminer une valeur de frottement d'une chaussée

Country Status (2)

Country Link
DE (1) DE102017218386A1 (fr)
WO (1) WO2019072879A1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102018217191A1 (de) * 2018-10-09 2020-04-09 Robert Bosch Gmbh Verfahren zum Trainieren eines Künstlichen-Intelligenz-Moduls, Betriebsverfahren und Datenverarbeitungseinrichtung
DE102024109776A1 (de) 2024-04-09 2025-10-09 Bayerische Motoren Werke Aktiengesellschaft Umgebungsanalysesystem und Umgebungsanalyseverfahren für Fahrzeuge

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5982325A (en) * 1997-11-24 1999-11-09 Racom Corporation Method for tracking real time road conditions
WO2005007973A1 (fr) * 2003-07-16 2005-01-27 Nira Dynamics Ab Systeme de collecte d'information d'etat de route
US20150135800A1 (en) * 2013-11-21 2015-05-21 Volvo Car Corporation Method for estimating a relative tire friction performance
DE102016014547A1 (de) * 2016-12-07 2017-07-06 Daimler Ag Verfahren zum Betrieb einer Reibwertdatenbank

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE202013005292U1 (de) * 2013-06-12 2013-07-09 Afusoft Kommunikationstechnik Gmbh System zur Einsparung von Streustoffen im Straßenbetriebs- und Winterdienst
WO2015192868A1 (fr) * 2014-06-16 2015-12-23 G. Lufft Mess- Und Regeltechnik Gmbh Dispositif de commande d'un véhicule d'épandage
DE102015201383A1 (de) * 2015-01-27 2016-07-28 Bayerische Motoren Werke Ag Fahrstabilisierung für ein Fahrzeug

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5982325A (en) * 1997-11-24 1999-11-09 Racom Corporation Method for tracking real time road conditions
WO2005007973A1 (fr) * 2003-07-16 2005-01-27 Nira Dynamics Ab Systeme de collecte d'information d'etat de route
US20150135800A1 (en) * 2013-11-21 2015-05-21 Volvo Car Corporation Method for estimating a relative tire friction performance
DE102016014547A1 (de) * 2016-12-07 2017-07-06 Daimler Ag Verfahren zum Betrieb einer Reibwertdatenbank

Also Published As

Publication number Publication date
DE102017218386A1 (de) 2019-04-18

Similar Documents

Publication Publication Date Title
WO2016120043A1 (fr) Procédé de stabilisation de la conduite pour un véhicule
DE102016225352B4 (de) Verfahren zum Schätzen eines Reibwerts einer Fahrbahn mittels eines Kraftfahrzeugs sowie Steuervorrichtung und Kraftfahrzeug
WO2016120092A1 (fr) Procédé de fonctionnement d'une base de données de coefficients de frottement et base de données de coefficients de frottement
DE102018101691A1 (de) Invasive aktive dynamische Tests zur Bestimmung des Oberflächen-Reibungskoeffizienten
WO2019048009A1 (fr) Trajectoires de type « off board » pour situations difficiles
WO2019029876A1 (fr) Procédé de détermination d'un coefficient de frottement pour un contact entre un pneumatique d'un véhicule et une chaussée et procédé pour commander une fonction de véhicule d'un véhicule
WO2015140244A1 (fr) Procédé servant à commander un entraînement hybride d'un véhicule, dispositif côté véhicule et ordinateur central
DE102014004167A1 (de) Verfahren zum Erfassen des Zustands einer durch ein Fahrzeug befahrenen Fahrbahn
DE102017117579A1 (de) Verfahren und systeme zum automatischen erfassen von gefährlichen strassenbedingungen und reagieren darauf
WO2019183660A1 (fr) Procédé de détermination et/ou d'estimation d'une propriété liée à un trajet qui influe sur la locomotion sur le trajet
DE102017214293B4 (de) Verfahren, Vorrichtung und computerlesbares Speichermedium mit Instruktionen zum Verarbeiten von Daten in einem Kraftfahrzeug für einen Versand an ein Backend
WO2019072619A1 (fr) Procédé et dispositif permettant de déterminer un coefficient de frottement d'une chaussée
WO2019072879A1 (fr) Procédé et dispositif pour déterminer une valeur de frottement d'une chaussée
DE102019204371A1 (de) Verfahren zur automatischen Zugkontrolle mit Schlupferfassung
DE102019220313B4 (de) Verfahren zum Beurteilen eines Fahrbahnzustands einer Fahrbahn, sowie Fahrbahnzustandsbeurteilungssystem und Fahrzeug
DE602006000904T2 (de) System zur Detektion von Fahrzeugverkehr mittels bordeigener telematischer Kooperationsplattform basierend auf erweiterten Stichprobenfahrzeugdaten
WO2019115663A1 (fr) Procédé, appareil et programme informatique pour l'établissement d'une courbe de référence de coefficient de frottement et de glissement pour le fonctionnement d'un véhicule
DE102018215179A1 (de) Verfahren und System zum Bereitstellen einer Reibwertinformation für einen Verkehrsflächenabschnitt
DE102019213471A1 (de) Verfahren zum Schätzen eines Reibungskoeffizienten µ für ein Kraftfahrzeug
DE102023128002A1 (de) System und Verfahren zum Auswählen eines Parkplatzes für ein Fahrzeug
WO2019029882A1 (fr) Procédé et dispositif pour déterminer un coefficient de frottement d'une chaussée
DE102019120490B4 (de) Verfahren und System zur Erkennung und Bewertung von Fahrbahncharakteristiken mittels eines Fahrzeugs
DE102020206302A1 (de) Verfahren und Vorrichtung zum Bestimmen eines zukünftigen Reibwerts für einen von einem Fahrzeug zu einem zukünftigen Zeitpunkt befahrenen Fahrbahnabschnitt eines Verkehrsnetzes
WO2019029889A1 (fr) Procédé et dispositif pour déterminer un coefficient de frottement d'une chaussée
EP2787494A1 (fr) Réalisation de profils de mouvement

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: 18788699

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18788699

Country of ref document: EP

Kind code of ref document: A1