DE102016224290A1 - Method for computer-aided traffic monitoring of route sections of a road network - Google Patents

Method for computer-aided traffic monitoring of route sections of a road network

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Publication number
DE102016224290A1
DE102016224290A1 DE102016224290.3A DE102016224290A DE102016224290A1 DE 102016224290 A1 DE102016224290 A1 DE 102016224290A1 DE 102016224290 A DE102016224290 A DE 102016224290A DE 102016224290 A1 DE102016224290 A1 DE 102016224290A1
Authority
DE
Germany
Prior art keywords
respective
fs
route
traffic
drones
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
DE102016224290.3A
Other languages
German (de)
Inventor
Matthias Schlegel
Michael Burkhart
Gerhard DEUTER
Georg Gabelmann
Alexander Graf
Rainer Haevescher
Carolin Heller
Arnold Schlegel
Franz-Josef Schuler
Julian Stratmann
Volker Vogel
Volker Wagner
Daniel Wolf
Nicolas Nostadt
Karl-Heinz Glander
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.)
TRW Automotive GmbH
ZF Friedrichshafen AG
Original Assignee
TRW Automotive GmbH
ZF Friedrichshafen AG
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 TRW Automotive GmbH, ZF Friedrichshafen AG filed Critical TRW Automotive GmbH
Priority to DE102016224290.3A priority Critical patent/DE102016224290A1/en
Publication of DE102016224290A1 publication Critical patent/DE102016224290A1/en
Application status is Granted legal-status Critical

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Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/012Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/04Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors

Abstract

The invention relates to a method for computer-aided traffic monitoring of route sections (FS) of a road network. In the method according to the invention, based on provided traffic data (VD) which characterize the current and / or past traffic volume of vehicles (5) on several route sections (FS), priority measures (PM) for the respective route sections (FS) are determined, wherein a respective priority measure (PM) the amount of the current and / or future traffic on the respective route section (FS) characterized. Subsequently, a plurality of drones (1), each comprising an image capture device (4), depending on the priority measures (PM) are controlled such that at least a portion of the drones (1) automatically one or more such route sections (FS) flies to the Priority measures (PM) characterize higher current and / or future traffic volumes compared to all other of the multiple route sections (FS). The respective drones (1) capture image data (BD) from the approached route sections (FS) by means of their image capture device (4). The image data (BD) of a respective approached route section (FS) and / or information derived therefrom on the traffic volume on the respective served route section (FS) are transmitted to a number of road users (6) and via at least one output unit (7, 9). which is assigned to a respective road user (6) of the number of road users (6), issued for perception by the respective road user (6).

Description

  • It is known in the art to use drones (i.e., unnamed flying objects) in combination with vehicles. For example, drones comprising image capture devices may accompany an associated vehicle or assist the parking of a vehicle. Furthermore, it is known to use drones for traffic observation.
  • In the document DE 10 2012 019 064 B3 A traffic surveillance system is described in which a drone transmits data received from a stationary surveillance unit.
  • The object of the invention is to provide a method for computer-aided traffic monitoring of route sections of a road network, are reliably pointed to the road users on route sections with increased traffic.
  • This object is achieved by the method according to claim 1 or the system according to claim 12 solved. Further developments of the invention are defined in the dependent claims.
  • The inventive method is used for computer-aided traffic monitoring of route sections of a road network. In other words, the subsequently explained steps of the method are carried out computer-aidedly without the manual intervention of a user. For this purpose, a computer means is used, which may possibly be distributed to several separate computer units.
  • In the method according to the invention, priority measures for the respective route sections are first determined on the basis of provided traffic data which characterize the current and / or past traffic volume of vehicles (ie motor vehicles), wherein a respective priority measure the amount of the current and / or future traffic volume characterized a respective route section. Here and below, the term traffic is to be understood as being a quantity which is higher, the greater the traffic density (i.e., the number of vehicles per unit area). Optionally, the traffic may also depend on the traffic flow, with a low traffic flow preferably corresponds to a higher traffic volume, since low traffic flow indicates a congestion. The priority measure corresponds in a simple variant of the invention to the current traffic volume, which results from the provided traffic data. Nevertheless, the priority measure can also be calculated computer-based from the current or past traffic volume for a future point in time. In particular, machine learning methods, such as e.g. Regression methods are used. The above term of the provided traffic data is to be understood as meaning data which are input parameters of the method according to the invention. Their determination is thus not part of the method according to the invention. In particular, the provided traffic data comes from one or more external sources of information.
  • In the method according to the invention, a plurality of drones, each comprising an image capture device, are controlled in dependence on the priority measures such that at least a portion of the drones automatically approaches one or more such route sections whose priority measures have higher current and / or future traffic volumes compared to all others characterize several route sections. In other words, the drones prefer to travel on sections of the route with a high or increased traffic volume. To achieve this, the drones can be used e.g. temporally successive in descending order of priority measures approach the individual route sections. Likewise, if necessary, a threshold value can be defined, with drones approaching only those sections of the route whose priority measure is above the threshold value. Optionally, it is also possible that drones in addition to the above-defined route sections also approach other route sections, such. Such route sections for which results from the traffic data that there has occurred an accident.
  • After the drones have flown to the corresponding route sections, they capture with their image capture device image data from these served route sections. The image data of a respective route section and / or derived therefrom information about the traffic on the respective served route section are finally transmitted to a number of road users (ie people participating in traffic) and at least one output unit (eg display unit), which a respective road user Number of road users is assigned, issued for the perception of this road user. The traffic information derived from the image data can be obtained by image analysis methods known per se.
  • The inventive method has the advantage that road users very accurate and reliable over drones Route sections are informed with increased traffic. This is achieved by triggering the drones in such a way that in any case information is collected by the drones for route sections with increased traffic and transmitted to road users.
  • In a variant of the method according to the invention, the drones are controlled by a central processing unit which transmits corresponding commands for the flight of the drones to them. Alternatively or additionally, however, a decentralized control of the drones can be carried out via corresponding control devices in the drones, wherein the control units communicate with each other.
  • Depending on the embodiment of the method according to the invention, different image capture devices can be used in the drones. Preferably, the image capture devices each comprise one or more cameras and / or one or more radar sensors and / or one or more lidar sensors.
  • In a further variant of the method according to the invention, the image data of a respective served route section and / or the information derived therefrom on the traffic volume on the respective served route section are displayed on a display of a mobile terminal and / or on a display of a vehicle navigation system the at least one output unit is a display of a vehicle navigation system or a mobile terminal, such as a mobile phone.
  • In a further refinement of the method according to the invention, the image data of a respective served route section and / or the information derived therefrom on the traffic volume on the respective served route section are transmitted at least temporarily by broadcast (i.e., without explicit recipient addressing) by the respective drones. Preferably, the image data or the derived information is stored after their transmission in a server and then retrieved by receiving means, which are assigned to the respective road user, from the server.
  • In a further embodiment of the invention, the image data of a respective approached route section and / or the information derived therefrom on the traffic volume on the respective approached route section are at least temporarily addressed towards the number of road users, i. to corresponding receiving addresses of receiving means of road users transmitted. It is thus already determined before sending the image data or the information derived from it, to which road users to get this.
  • In a further variant of the method according to the invention, the image data of a respective served route section and / or the information derived therefrom are transmitted via the traffic volume on the respective served route section to such traffic participant, which is on the respective approached route section or at a distance below a threshold value the respective flown route section. In this way it is ensured that the image data or the derived information reach those road users who are affected by it.
  • In a further embodiment of the method according to the invention, it is determined for at least one road user from the image data transmitted to it and / or information derived therefrom, whether there is an increased traffic volume (i.e., a traffic volume above a predetermined threshold) at the location of the road user. If this is the case, a delay message is sent to a computer unit assigned to the respective road user. an SMS message which is addressed to one or more contacts consisting of a digital memory, e.g. a digital address book. The digital memory is provided for example in a mobile terminal of the road user. With this variant according to the invention, contacts of a road user can be informed in good time about his delay.
  • Depending on the embodiment of the above embodiment, the generated delay message can be output to the respective road user via an output device and / or sent automatically via a transmission means to the one or more contacts. In the output of the delay message via an output means, such as e.g. when displayed on a display, there is possibly the possibility that the road user post-processed the message or even the decision that the message should not be sent.
  • In a further variant, the respective road user, for whom the above delay message is generated, assigned a navigation target in a vehicle navigation system and the generated delay message is addressed to such contacts whose geographical addresses contained in the digital memory (eg place of residence or company) the Match navigation goal or in the Near the navigation target (ie at a distance below a predetermined threshold of this target) are.
  • In a further embodiment, the generated delay message is addressed to such contacts, which are stored in a diary in the digital memory as a participant in an appointment within a predetermined period of time in the future (in particular at the next future appointment). With the two variants of the invention just described it is achieved that contacts affected by a delay of the road user are suitably informed.
  • In addition to the method described above, the invention relates to a system for computer-aided traffic monitoring of route sections of a road network. This system is set up to carry out the method according to the invention or one or more preferred variants of the method according to the invention. In other words, the system comprises one or more suitable computer units for the computer-aided execution of the corresponding method steps. Likewise, the drones described above are part of the system.
  • An embodiment of the invention will be described below with reference to the attached 1 described in detail. This figure shows a schematic representation, which illustrates the implementation of a variant of the method according to the invention.
  • The basis of 1 explained embodiment uses a variety of drones 1 , what a 1 are shown schematically. The drones are using a central control or processing unit 2 suitably controlled. This control unit gives appropriate commands to the individual drones 1 in order to control their flight to corresponding route sections and also to transmit image data taken by the drones to certain road users. Instead of having a central processing unit 2 If necessary, the drone flights can also be controlled remotely by control units in the respective drones. In this case, the control units of the individual drones communicate wirelessly with each other.
  • The central processing unit 2 accesses traffic data VD an external information source 3 to, as by the arrow P1 is indicated. The traffic data VD characterize the current and / or past and / or future traffic density (ie number of vehicles per unit area) on different route sections in a road network. Optionally, the traffic data may also include the current and / or past and / or future traffic flow (ie the number of vehicles per unit of time) as information. The traffic data VD thus characterize the current or past and / or future traffic on different route sections. The traffic data represent input variables of the method described below and their determination is not part of the invention. The traffic data can come, for example, from road authorities or common providers, such as Google or Inrix.
  • The traffic data VD be in the processing unit 2 evaluated to obtain priority data from these data PM for the individual sections of the route specified in the traffic data. In the embodiment described herein, a higher priority measure is described PM a higher current traffic volume. If necessary, the priority measure can also reflect a future traffic volume. In this case, the traffic data VD with known machine learning methods, such as regression method, evaluated to predict from the current and past traffic data future traffic.
  • The determination of the priority measure PM can be done in different ways. For example, the priority measure may be the sum of two sizes, where one size is proportional to traffic density and the other size is indirectly proportional to the traffic flow. These sizes may possibly be weighted differently. Other ways of calculating the priority measure are within the scope of expert action.
  • Based on the priority measures PM The individual sections of the route become the drones 1 suitably controlled. The control takes place in such a way that the drones prefer to approach sections of the line with a high traffic volume in accordance with the priority measures. In other words, in descending order of priority measures PM The individual sections of the route were served by the respective drones. Alternatively, it is also possible for the drones to cover all those sections of the route whose priority measure exceeds a predetermined threshold.
  • Each of the drones 1 includes an image capture device in the form of a camera 4 , this camera only for the lowest of the 1 shown drone is indicated. On the basis of this drone and the other steps are explained, each of the drones shown 1 performs these steps analogously. The drone flies by control of the processing unit 2 a route section, which in 1 With FS is designated and reproduced in plan view. On this route section is a variety of vehicles 5 , which are indicated only schematically. The route section has a relation to the norm increased traffic. The drone is controlled by means of the processing unit 2 over this route section FS positioned and takes with the camera 4 Pictures of this section of the route. The image data captured by the drone BD be z. B. via a broadcast to the central processing unit 2 transmitted as indicated by the arrow P2 is indicated.
  • From the central processing unit, the image data BD z. B. then provided via a broadcast then other road users. Alternatively, the image data BD also directly from the drones 1 be provided as indicated by the arrow P4 is indicated. In the described embodiment, corresponding receiving devices from interested or affected road users call the image data BD from. For example, a road user can retrieve such image data concerning a route section on which the road user is currently located. Likewise, the image data BD be provided as part of a push service. The image data is then automatically transmitted to receivers (in particular mobile terminals) of certain road users, such as subscribers of the push service. For this purpose, an app can be provided in the respective terminals. The image data can also be transmitted to a vehicle infotainment system of the vehicle belonging to the corresponding road user.
  • Exemplary is in 1 the transmission of image data BD towards the driver 6 of a vehicle 5 ' shown. The image data BD relate to a route section on which the vehicle 5 ' currently located. The image data are displayed in the vehicle 5 'on the display of a vehicle infotainment system and a terminal of the driver 6 brought to the display. This is in the detail view DA in 1 shown. This detailed view DA shows the top view of the vehicle cockpit of the vehicle 5 ' , You can see the steering wheel 8th as well as the display 7 of the vehicle infotainment system. Furthermore, one is from the driver 6 carried mobile phone 9 seen. The image data BD be both on the display of the mobile phone 9 as well as on the display 7 of the vehicle infotainment system.
  • In a preferred variant of the method described above is in the mobile phone 9 or possibly also in the vehicle infotainment system automatically generates a delay message and brought to display on the display of the mobile phone or the vehicle infotainment system. The delay message contains a standard text that informs the recipient that the driver is late because of increased traffic. The recipients of the messages are from those in the mobile phone 9 digitally stored contacts selected. This is done in a variant using the navigation target stored in the vehicle navigation system. The vehicle navigation system is part of the vehicle infotainment system. In this case, the message will be sent to those contacts in the mobile phone 9 whose place of residence or employment is at the place of the navigation destination. In another form, the digital appointment calendar is in the mobile phone 9 analyzed. In this case, the message will be sent to those contacts in the mobile phone 9 sent as participants for the next upcoming appointment in the diary.
  • The generated or displayed delay message may be from the driver 6 be submitted manually after checking, where it may be previously edited or the recipient circle can be changed. Nevertheless, there is also the possibility that the corresponding message is sent immediately after display or even without display automatically to the appropriate recipient circle. Preferably, the message is sent only if an estimated delay exceeds a predetermined threshold or the delay is so great that the time of a corresponding appointment in the appointment calendar of the mobile phone can no longer be met.
  • The embodiments of the method according to the invention described above have a number of advantages. In particular, road users are informed by means of image data from drones quickly, reliably and accurately about the current traffic situation. Optionally, the image data may also be used to more accurately predict the arrival time at a destination calculated in a vehicle navigation system. If necessary, the generated image data can also be used not only by road users but also by other bodies, such as police and authorities (for example, road construction office). In particular, there is also the possibility that the drones during periods in which they are not fully utilized, fly off sections to capture images purely for the purpose of collecting data for authorities.
  • LIST OF REFERENCE NUMBERS
  • 1
    drones
    2
    central processing unit
    3
    external information source
    4
    Image capture device
    5, 5 '
    vehicles
    6
    driver
    7
    Display of a vehicle infotainment system
    8th
    steering wheel
    9
    mobile phone
    BD
    image data
    FS
    Route section
    PM
    priority level
    VD
    traffic data
    P1, P2, P3, P4
    arrows
  • QUOTES INCLUDE IN THE DESCRIPTION
  • This list of the documents listed by the applicant has been generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.
  • Cited patent literature
    • DE 102012019064 B3 [0002]

Claims (13)

  1. Method for the computerized traffic monitoring of route sections (FS) of a road network, in which Based on provided traffic data (VD), which characterize the current and / or past traffic volume of vehicles (5) on several route sections (FS), priority measures (PM) are determined for the respective route sections (FS), wherein a respective priority measure (PM) the amount of current and / or future traffic on the respective route section (FS) characterized; a plurality of drones (1), each comprising an image capture device (4), are controlled in dependence on the priority measures (PM) in such a way that at least a portion of the drones (1) automatically approaches one or more such route sections (FS) whose priority dimensions ( PM) characterize higher current and / or future traffic volumes compared to all other of the multiple travel route sections (FS); the respective drones (1) capture image data (BD) from the traveled route sections (FS) by means of their image capture device (4); the image data (BD) of a respective served route section (FS) and / or information derived therefrom on the traffic volume on the respective served route section (FS) are transmitted to a number of road users (6) and via at least one output unit (7, 9), which is assigned to a respective road user (6) of the number of road users (6) are output for the perception by the respective road user (6).
  2. Method according to Claim 1 , characterized in that the drones (1) via a central processing unit (2) and / or decentralized via mutually communicating control units in the individual drones (1) are controlled.
  3. Method according to Claim 1 or 2 , characterized in that the image capture devices (4) in the drones (1) each comprise one or more cameras and / or one or more radar sensors and / or one or more lidar sensors.
  4. Method according to one of the preceding claims, characterized in that the image data (BD) of a respective approached route section (FS) and / or the information derived therefrom on the traffic volume on the respective approached route section (FS) on a display of a mobile terminal (9) and / or on a display (7) of a vehicle navigation system.
  5. Method according to one of the preceding claims, characterized in that the image data (BD) of a respective approached route section (FS) and / or the information derived therefrom on the traffic volume on the respective approached route section (FS) are sent and preferably in a server (2 ) and then retrieved by receiving means which are associated with the respective road users (6), from the server (2).
  6. Method according to one of the preceding claims, characterized in that the image data (BD) of a respective approached route section (FS) and / or derived therefrom information on the traffic volume on the respective approached route section (FS) at least temporarily addressed towards the number of road users (6).
  7. Method according to one of the preceding claims, characterized in that the image data (BD) of a respective approached route section (FS) and / or the information derived therefrom on the traffic on the respective approached route section (FS) are transmitted to such road users (6) which are located on the respective approached route section (FS) or at a distance below a threshold value to the respective traveled route section (FS).
  8. Method according to one of the preceding claims, characterized in that it is determined for at least one road user (6) from the image data (BD) transmitted to him and / or information derived therefrom, whether there is an increased traffic volume at the location of the respective road user (6), wherein in the case of increased traffic with the respective road user (6) associated computer unit, a delay message is generated, which is addressed to one or more contacts, which are read from a digital memory.
  9. Method according to Claim 8 , characterized in that the generated delay message is output to the respective road user (6) via an output means and / or is automatically sent via a transmission means to the one or more contacts.
  10. Method according to Claim 8 or 9 , characterized in that the respective road user (6) is associated with a navigation target in a vehicle navigation system and the generated delay message is addressed to such contacts whose contained in the digital memory geographical addresses correspond to the navigation destination or are located near this navigation destination.
  11. Method according to one of Claims 8 to 10 , characterized in that the generated delay message is addressed to such contacts which are stored in a diary in the digital memory as a participant in an appointment within a predetermined period of time in the future.
  12. System for the computerized traffic monitoring of route sections (FS) of a road network, the system being set up to carry out a method in which Based on provided traffic data (VD), which characterize the current and / or past traffic volume of vehicles (5) on several route sections (FS), priority measures (PM) are determined for the respective route sections (FS), wherein a respective priority measure (PM) the amount of current and / or future traffic on the respective route section (FS) characterized; a plurality of drones (1), each comprising an image capture device (4), are controlled in dependence on the priority measures (PM) in such a way that at least a portion of the drones (1) automatically approaches one or more such route sections (FS) whose priority dimensions ( PM) characterize higher current and / or future traffic volumes compared to all other of the multiple travel route sections (FS); the respective drones (1) capture image data (BD) from the traveled route sections (FS) by means of their image capture device (4); the image data (BD) of a respective served route section (FS) and / or information derived therefrom on the traffic volume on the respective served route section (FS) are transmitted to a number of road users (6) and via at least one output unit (7, 9), which is assigned to a respective road user (6) of the number of road users (6) are output for the perception by the respective road user (6).
  13. System after Claim 12 , characterized in that the system for carrying out a method according to one of Claims 2 to 11 is set up.
DE102016224290.3A 2016-12-06 2016-12-06 Method for computer-aided traffic monitoring of route sections of a road network Granted DE102016224290A1 (en)

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DE102016224290.3A DE102016224290A1 (en) 2016-12-06 2016-12-06 Method for computer-aided traffic monitoring of route sections of a road network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102016224290.3A DE102016224290A1 (en) 2016-12-06 2016-12-06 Method for computer-aided traffic monitoring of route sections of a road network

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102012019064B3 (en) 2012-09-28 2014-01-02 Audi Ag Traffic monitoring system for establishing communication between vehicles e.g. motor cars, has mobile unit whose velocity is controlled with respect to traffic conditions of track portion to transfer respective traffic conditions
WO2015134453A1 (en) * 2014-03-03 2015-09-11 Inrix Inc. Estimating traveler volume by evaluating aerial images
WO2016155844A1 (en) * 2015-03-31 2016-10-06 Nec Europe Ltd. Method and system for observing a predetermined monitoring area

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102012019064B3 (en) 2012-09-28 2014-01-02 Audi Ag Traffic monitoring system for establishing communication between vehicles e.g. motor cars, has mobile unit whose velocity is controlled with respect to traffic conditions of track portion to transfer respective traffic conditions
WO2015134453A1 (en) * 2014-03-03 2015-09-11 Inrix Inc. Estimating traveler volume by evaluating aerial images
WO2016155844A1 (en) * 2015-03-31 2016-10-06 Nec Europe Ltd. Method and system for observing a predetermined monitoring area

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