EP3521132A1 - Procédé de détection d'un couloir de circulation des véhicules ferroviaires - Google Patents

Procédé de détection d'un couloir de circulation des véhicules ferroviaires Download PDF

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Publication number
EP3521132A1
EP3521132A1 EP19152796.9A EP19152796A EP3521132A1 EP 3521132 A1 EP3521132 A1 EP 3521132A1 EP 19152796 A EP19152796 A EP 19152796A EP 3521132 A1 EP3521132 A1 EP 3521132A1
Authority
EP
European Patent Office
Prior art keywords
data
vehicle
route network
rail
detecting
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.)
Granted
Application number
EP19152796.9A
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German (de)
English (en)
Other versions
EP3521132B1 (fr
Inventor
Andreas Spang
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.)
Knorr Bremse Systeme fuer Schienenfahrzeuge GmbH
Original Assignee
Knorr Bremse Systeme fuer Schienenfahrzeuge 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.)
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Publication date
Application filed by Knorr Bremse Systeme fuer Schienenfahrzeuge GmbH filed Critical Knorr Bremse Systeme fuer Schienenfahrzeuge GmbH
Publication of EP3521132A1 publication Critical patent/EP3521132A1/fr
Application granted granted Critical
Publication of EP3521132B1 publication Critical patent/EP3521132B1/fr
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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
    • B61L23/04—Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
    • B61L23/041—Obstacle detection
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00—Indicators provided on the vehicle or train for signalling purposes
    • B61L15/0072—On-board train data handling
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L2205/00—Communication or navigation systems for railway traffic
    • B61L2205/04—Satellite based navigation systems, e.g. global positioning system [GPS]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L25/00—Recording or indicating positions or identities of vehicles or trains or setting of track apparatus
    • B61L25/02—Indicating or recording positions or identities of vehicles or trains
    • B61L25/021—Measuring and recording of train speed
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L25/00—Recording or indicating positions or identities of vehicles or trains or setting of track apparatus
    • B61L25/02—Indicating or recording positions or identities of vehicles or trains
    • B61L25/025—Absolute localisation, e.g. providing geodetic coordinates

Definitions

  • the present invention relates to a method for detecting a driving tube in rail-bound vehicles, for use as aids for collision avoidance in the field of driver assistance systems.
  • Driver assistance systems help the driver to perform his tasks as the driver of a vehicle and are state of the art in the field of railless motor vehicles.
  • Systems such as a preceding vehicle distance control, or lane keeping or lane assistants play an important role in the prevention of accidents in dense road traffic. A particularly large contribution is made by collision warning and accident prevention systems.
  • the driving tube determines the area that the vehicle passes through with its light profile in the expected lane. He thus describes a trajectory in which the vehicle will move in one or more subsequent time period (s).
  • optical sensors such as cameras, for example, which detect and record road markings such as center lines or side strips, are mostly used to determine the driving lane.
  • optical sensors As well as radar, lidar or ultrasonic sensors are also used.
  • Analysis modules determine the current situation from the recorded driving distance of the vehicle and the sensor data and then take measures to avoid accidents, such as the triggering of one or more warning levels, up to the intervention in the braking system.
  • the acquired digital route network can be stored in a database and is thus available for future journeys.
  • the driving tube can be determined very accurately with a device according to the invention.
  • Saving further route information such as a curve profile, a speed profile or a height profile when transferring the route network into a digital route network in a database according to claim 3, allows the further use of the relevant data for other systems to increase the safety or efficiency of the drive.
  • Usable applications are, for example, a speed warning system in case of exceeding a maximum velocity stored as a speed profile or a system that can use the height profile of a route for improving the efficiency of the drive.
  • important aspects such as safety and consumption reduction can be further improved.
  • a transfer of the route network into a digital route network with the aid of a positioning technology such as GPS according to claim 4, provides a reliable and technically simple way to implement the transfer of the route network.
  • the detection of the speed and the acceleration as movement data allows a more precise alignment of the sensors and a more precise calculation of the driving tube and also allows as previously described the applicability of further safety-relevant technology, such as a speed warning system.
  • time stamp allows a comparatively easy assignment between the respective position data and movement data.
  • FIG Fig. 1 shows a block diagram for illustrating the sequence of the method, explained in more detail.
  • the physical route network 1 is transferred to a digital route network 2 via GPS and stored in a database.
  • the position data 4 of the vehicle from the current position 3 of the vehicle are also detected by GPS together with an associated time stamp containing the information of the recorded time.
  • the current movement data 6 of the vehicle such as speed and acceleration, are also recorded with a timestamp via suitable sensors.
  • the thus obtained information of the current position data 4 and the current movement data 6 are forwarded together with the digital route network to a device for determining the driving tube 9.
  • the current position data 4 are placed in the digital route network 2 and assigned the movement data 6 based on the time stamp to the corresponding position data 4.
  • the driving tube determination device 9 can determine the driving tube 10.
  • the thus obtained information of the driving lane is used to optimize the alignment of the sensors 11 in the direction of the movement of the vehicle so as to better detect potential collision-causing objects and the environment relevant to the driving lane.
  • the information is forwarded to an analysis module 11 together with the data of the object / environmental recognition 8, which were detected by the sensors 12, such as optical sensors, radar sensors or the like, for the detection of collision-causing objects and the environment.
  • the analysis module decides on the basis of the given information about the measures that are taken for collision prevention. Measures can range from audible or visual warning signals to an intervention in the braking system of the vehicle.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
EP19152796.9A 2018-02-01 2019-01-21 Procédé de détection d'un couloir de circulation des véhicules ferroviaires Active EP3521132B1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102018201531.7A DE102018201531A1 (de) 2018-02-01 2018-02-01 Verfahren zum Erkennen eines Fahrschlauchs bei schienengebundenen Fahrzeugen

Publications (2)

Publication Number Publication Date
EP3521132A1 true EP3521132A1 (fr) 2019-08-07
EP3521132B1 EP3521132B1 (fr) 2023-11-08

Family

ID=65138893

Family Applications (1)

Application Number Title Priority Date Filing Date
EP19152796.9A Active EP3521132B1 (fr) 2018-02-01 2019-01-21 Procédé de détection d'un couloir de circulation des véhicules ferroviaires

Country Status (3)

Country Link
EP (1) EP3521132B1 (fr)
DE (1) DE102018201531A1 (fr)
ES (1) ES2967279T3 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4105103A1 (fr) * 2021-06-15 2022-12-21 Siemens Mobility GmbH Dispositif de détection d'environnement à ajustement automatique pour véhicules ferroviaires

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11945478B2 (en) 2019-11-20 2024-04-02 Ground Transportation Systems Canada Inc. High-integrity object detection system and method
DE102021203014A1 (de) 2021-03-26 2022-09-29 Siemens Mobility GmbH Hinderniserkennung für ein Schienenfahrzeug
DE102022213909A1 (de) 2022-12-19 2024-06-20 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren zum Ermitteln einer Kollisionsinformation bezüglich einer Kollisionsgefahr zwischen einem Schienenfahrzeug und einem Objekt

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102006007788A1 (de) * 2006-02-20 2007-08-30 Siemens Ag Verfahren zur rechnergestützten Überwachung des Betriebs eines einen vorgegebenen Streckenverlauf fahrenden Fahrzeugs, insbesondere eines spurgebundenen Schienenfahrzeugs
DE102009006085A1 (de) * 2009-01-26 2010-07-29 Voith Patent Gmbh Verfahren zur Erfassung von Streckendaten
DE102014206473A1 (de) * 2014-04-03 2015-10-08 Bombardier Transportation Gmbh Automatische Assistenz eines Fahrers eines fahrspurgebundenen Fahrzeugs, insbesondere eines Schienenfahrzeugs
DE102015219690A1 (de) * 2015-10-12 2017-04-13 Siemens Aktiengesellschaft Verfahren zur Fahrwegerkennung für ein Schienenfahrzeug
WO2018091508A1 (fr) * 2016-11-21 2018-05-24 Siemens Aktiengesellschaft Prévention de collision par mesure du tracé du parcours d'un véhicule

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102005042218B4 (de) * 2005-09-05 2012-07-26 Deutsches Zentrum für Luft- und Raumfahrt e.V. Eisenbahnkollisions-Warneinrichtung
GB2542115B (en) * 2015-09-03 2017-11-15 Rail Vision Europe Ltd Rail track asset survey system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102006007788A1 (de) * 2006-02-20 2007-08-30 Siemens Ag Verfahren zur rechnergestützten Überwachung des Betriebs eines einen vorgegebenen Streckenverlauf fahrenden Fahrzeugs, insbesondere eines spurgebundenen Schienenfahrzeugs
DE102009006085A1 (de) * 2009-01-26 2010-07-29 Voith Patent Gmbh Verfahren zur Erfassung von Streckendaten
DE102014206473A1 (de) * 2014-04-03 2015-10-08 Bombardier Transportation Gmbh Automatische Assistenz eines Fahrers eines fahrspurgebundenen Fahrzeugs, insbesondere eines Schienenfahrzeugs
DE102015219690A1 (de) * 2015-10-12 2017-04-13 Siemens Aktiengesellschaft Verfahren zur Fahrwegerkennung für ein Schienenfahrzeug
WO2018091508A1 (fr) * 2016-11-21 2018-05-24 Siemens Aktiengesellschaft Prévention de collision par mesure du tracé du parcours d'un véhicule

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4105103A1 (fr) * 2021-06-15 2022-12-21 Siemens Mobility GmbH Dispositif de détection d'environnement à ajustement automatique pour véhicules ferroviaires

Also Published As

Publication number Publication date
EP3521132B1 (fr) 2023-11-08
ES2967279T3 (es) 2024-04-29
DE102018201531A1 (de) 2019-08-01

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