EP2704120A1 - Procédé pour déterminer informations de trafic - Google Patents

Procédé pour déterminer informations de trafic Download PDF

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Publication number
EP2704120A1
EP2704120A1 EP12182126.8A EP12182126A EP2704120A1 EP 2704120 A1 EP2704120 A1 EP 2704120A1 EP 12182126 A EP12182126 A EP 12182126A EP 2704120 A1 EP2704120 A1 EP 2704120A1
Authority
EP
European Patent Office
Prior art keywords
measuring
traffic
vehicle noise
analysis
measuring points
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Withdrawn
Application number
EP12182126.8A
Other languages
German (de)
English (en)
Inventor
Ingo Zum Felde
Stefan Jenzowsky
Gerhard Lafer
Gerald Schreiber
Martin Sternitzke
Martin Wittke
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.)
Atos Convergence Creators GmbH
Original Assignee
Siemens Convergence Creators 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 Siemens Convergence Creators GmbH filed Critical Siemens Convergence Creators GmbH
Priority to EP12182126.8A priority Critical patent/EP2704120A1/fr
Publication of EP2704120A1 publication Critical patent/EP2704120A1/fr
Withdrawn legal-status Critical Current

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    • 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
    • G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • 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
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors

Definitions

  • the present invention relates generally to the field of traffic engineering. More particularly, the present invention relates to a method for determining traffic information and traffic monitoring. In this case, along a traffic area to be monitored, such as e.g. Highway, highways, etc. roadside measuring points arranged and provided these measuring points measurement units.
  • a traffic area to be monitored such as e.g. Highway, highways, etc.
  • roadside measuring points arranged and provided these measuring points measurement units.
  • the traffic situation is an actual state of one or more traffic areas, in which a vehicle density or traffic density, traffic obstructions, but also a weather situation is taken into account by the corresponding traffic routes and modes of transport.
  • a respective current traffic situation is determined on the basis of traffic data and information, for example in a traffic control center, which are usually obtained from roadside arranged measuring sections or measuring points.
  • a measuring cross section is, for example, by a mostly stationary traffic detector such as by induction loops, infrared sensors, radar sensors and / or optical sensors (eg video camera), formed. From such traffic detectors usually time-related counts, occupancy, traffic, speeds and the like of the measuring cross section or measuring point passing vehicles are then determined, collected and delivered to the traffic control center, for example.
  • this approach requires a high infrastructural effort for installation, operation and maintenance, in particular of the measuring cross sections or measuring points, especially for a nationwide determination of traffic information.
  • only limited information about a traffic condition affecting the road condition eg ice, snow, etc.
  • floating car data as traffic data, which is based, for example, on an exchange of information between in flowing traffic with moving vehicles and a traffic control center.
  • the data is generated from a vehicle, which participates in the current traffic situation.
  • the data may include both a state of driving and status data of a place when standing (eg in a traffic jam, at a traffic light system, etc.).
  • a data record contains at least one time stamp as well as current location coordinates of the vehicle, which itself becomes the measuring point or measuring sensor when the floating car data method is used.
  • the participating vehicle includes facilities for the continuous determination of its position, speed, etc., as well as for the transmission of this data to the traffic control center.
  • Traffic information systems based on this approach are eg from the writings EP 1 209 647 A1 and US 2003/0009277 A1 known.
  • this approach requires comprehensive equipment of vehicles with positioning modules as well as a sufficient number of vehicles in the traffic area to be monitored in order to obtain high-quality and nationwide traffic information.
  • data and information about a road condition must additionally be determined, for example, via other measuring units (eg weather stations, etc.) or direct demand from the respective users of the vehicles.
  • the Floating Car Data relatively high communication costs caused by frequent data transmission to the traffic control center.
  • the invention is therefore based on the object of specifying a method for determining traffic information, by means of which comprehensive current traffic information and a current road condition are determined in a simple and cost-effective manner.
  • the solution of this object is achieved by a method of the type described above, in which of each measuring unit over a measurement period vehicle noise -.
  • the auditory environment of the respective measuring unit - is detected.
  • These recorded vehicle noises in particular rolling, driving and / or motor noises of vehicles, are then analyzed and evaluated on the basis of this analysis of the vehicle noise parameters for a traffic flow or for a traffic density and / or a weather-related condition of a Lane derived from the monitored traffic area.
  • the main aspect of the method according to the invention is that at each measuring point of the traffic area to be monitored by a measuring unit the auditory environment - ie rolling, driving or engine noise - this measuring point, for example cyclically or during a certain measurement period are recorded.
  • a speed of the vehicles - passenger cars and trucks - can then be estimated and from this an information derived via traffic flow and / or traffic density.
  • the comparative data eg rolling or driving noise on a dry road
  • the method according to the invention By means of the method according to the invention, it is possible to monitor a traffic area comprehensively without great expense, since measuring points or measuring devices can be used to use an already existing infrastructure of a road operator.
  • the method according to the invention also makes it possible to determine information about the effect of the respective weather on the traffic across the entire area. Traffic problems (eg traffic jams, etc.) can also be located very easily.
  • the analysis of the recorded vehicle noise is carried out above all with reference to the frequency spectrum, energy per frequency and / or change in the vehicle noise over the measurement period.
  • the frequency spectrum indicates a composition of a sound or signal from its frequency-dependent noise or signal components.
  • individual vehicles are detected in the detected vehicle noises and made therefrom e.g. derives a vehicle speed by means of Doppler effect.
  • a number of passenger cars and / or trucks can be interpolated from an energy density per frequency or per comparison spectrum and thus very easily be deduced to a current traffic density. From a change in the vehicle noise compared to the comparison data, for example, a weather-related condition of the road can be derived very easily.
  • Comparative data is used as the basis for an analysis of the recorded vehicle noise. It is advantageous if used for the analysis as comparison data obtained by audio and / or video analysis frequency pattern of rolling, driving and / or engine noise of vehicles and vehicle noise changes in dependence on a respective state of the roadway of the monitoring traffic area become.
  • comparison data for example, frequency patterns of vehicle noises of different vehicles (eg, cars, trucks, etc.) are assigned, which have been generated by means of a combined audio and / or video analysis. This vehicle noise and eg their frequency spectra of certain types of vehicles are known and can be very easily detected in the analysis and evaluation of the detected vehicle noise and used for the determination of traffic information.
  • further comparison data can be determined by changing vehicle noise changes in known weather conditions, e.g. in case of moisture, rain, ice, snow, etc. are derived from vehicle noise on dry roads.
  • a weather-related condition of a roadway in the monitored traffic area can then be determined very simply by the analysis.
  • each measuring unit is connected to a computing unit and a comparison database.
  • the driving noise is detected by a measuring unit in the measuring point and can then be forwarded for example via an interface unit to a computing unit.
  • a comparison database is linked to the arithmetic unit, in which the comparison data for the analysis are stored. The arithmetic unit then uses the comparison data stored in the comparison database to analyze and evaluate the detected vehicle noises.
  • the results of the analysis may then be conveniently forwarded to a central processing unit for cumulation.
  • the results of the respective measuring units or measuring points can then be compared with results of adjacent measuring units or measuring points.
  • an improvement of the data quality can be achieved very easily by accumulation and / or averaging.
  • traffic areas such as For example, highways, highways, etc. is usually the same traffic in road sections between exits, so that the data quality can be improved.
  • Deviations are detected in particular in case of disturbances in the flow of traffic, eg due to construction sites, accidents, etc. or changes in weather conditions (eg local rain, snow or icing).
  • a nationwide and high quality traffic information can be determined very easily.
  • a connection of the measuring units to the arithmetic unit and the comparison database can be done locally, for example.
  • each measuring point has an arithmetic unit and a comparison database to which the measuring unit is connected, for example. connected via an analog / digital converter as an interface unit.
  • the calculations for an analysis and evaluation of the detected vehicle noise can be carried out locally in the respective measuring point and the results for later evaluation, for example, stored locally and / or sent for cumulation to the central unit. Since in this decentralized embodiment of the method according to the invention only the results of the analysis are transmitted to the central unit, only a small bandwidth in the transmission network (for example radio network, data network, etc.) is necessary for this. However, it may ideally be the entire frequency space occupied by the measuring unit and by e.g. covered analog / digital converter is used for detecting vehicle noise.
  • the inventive method can also be configured centrally.
  • the driving noises are forwarded by the measuring units to the arithmetic unit and centrally evaluated.
  • the central server can then display the results of the measuring points or Forward measurement units to the central unit for cumulation.
  • This central variant of the method according to the invention has the advantage that not every measuring point has to have a computing unit and a comparison database.
  • the central variant has a limitation in detecting the vehicle noise and the frequency range compared to the decentralized variant.
  • a telecommunications network in particular voice network
  • the vehicle noise from different measuring points can be recorded only sequentially.
  • the decentralized variant can be continuously measured.
  • the central variant of the method of the frequency range is limited by the transmission network or telecommunications network used - for example, 300Hz to 3400Hz in voice telephony and 300Hz to 7000Hz in broadband telephony.
  • emergency call devices are used as measuring points along the traffic area to be monitored.
  • the measuring units can be integrated into these emergency call systems.
  • existing sound transducers in particular microphones, can also be used as measuring units in the measuring points or in the emergency call devices. This can be used very easily existing infrastructure of a road operator for a determination of traffic information and a comprehensive traffic monitoring can be achieved.
  • the use of emergency facilities or the existing sound transducer has the advantage that in a decentralized embodiment of the method - with the exception of emergency calls - a continuous measurement of vehicle noise is possible, the entire covered by sound transducer frequency range (eg 20Hz to 16000Hz) can be used.
  • FIG. 1 shows schematically and by way of example a sequence of the method according to the invention for determining traffic information.
  • FIG. 2 is an example and schematically illustrated a flow of the method according to the invention for the determination of traffic information in a decentralized embodiment of an analysis step.
  • FIG. 3 shows by way of example and schematically a sequence of the method according to the invention for the determination of traffic information in the case of a central configuration of an analysis step.
  • FIG. 1 schematically shows an exemplary sequence of the method according to the invention for the determination of traffic information. It is in FIG. 1 an example to be monitored traffic area VB such as a directional lane of a highway or expressway shown on which vehicle move in a direction FR.
  • the traffic area VB to be monitored has a fault S at one point.
  • Measuring points MP1, MP2, MP3 are arranged along the traffic area VB to be monitored. As measuring points MP1, MP2, MP3, for example, emergency call devices are used along the traffic area VB.
  • the measuring points MP1, MP2, MP3 are each provided with associated measuring units ME1, ME2, ME3.
  • As measurement units ME1, ME2, ME3 can be integrated, for example, in the measuring points MP1, MP2, MP3 or emergency call devices or existing transducers or microphones are used.
  • a first method step 1 at the respective measuring points MP1, MP2, MP3 of the respective measuring units ME1, ME2, ME3, vehicle noises FG - i. an auditive environment of the respective measuring point MP1, MP2, MP3 - detected cyclically or during a certain measurement period.
  • the vehicle noise may be composed, for example, of rolling, driving and engine noise of vehicles.
  • Due to the disturbance S the different measuring points MP1, MP2, MP3 have a different auditory environment.
  • the vehicles are e.g. with appropriate travel speed in motion.
  • the disturbance S e.g. stationary or slowly rolling traffic.
  • a third measuring point MP3 is e.g. because of the preceding disorder S of no or very few vehicles happened.
  • the measuring points MP1, MP2, MP3 a different auditory environment and it will be detected by the measuring units ME1, ME2, ME3 different vehicle noise FG.
  • a second method step 2 the detected vehicle noises of the respective measuring unit ME1, ME2, ME3 are analyzed and evaluated on the basis of comparative data.
  • this second method step 2 can be carried out locally in the respective measuring points MP1, MP2, MP3 - as exemplified in FIG FIG. 2 represented - or centrally - as exemplified in FIG. 3 shown - done.
  • parameters or information for a traffic flow, a traffic density, etc. as well as for weather-related condition of a roadway of the traffic area VB to be monitored are then derived for the respective measuring points MP1, MP2, MP3.
  • frequency patterns of rolling, driving and engine noise are different Vehicles (eg cars, trucks, etc.), which are obtained by a combined audio / video analysis used.
  • Vehicles eg cars, trucks, etc.
  • vehicle noise changes in the event of moisture, rain, ice slipperiness, open or closed snow cover, etc. can be derived from vehicle noise FG on a dry road.
  • the detected vehicle noise FG is detected in the detected vehicle noise FG and determined by means of Doppler effect a vehicle speed as a parameter for traffic information or a traffic flow. Furthermore, further parameters (for example number of vehicles, etc.) can be obtained from an energy density per comparison spectrum or per frequency. For information about traffic flow and / or traffic density, the detected vehicle sounds FG are detected e.g. in terms of frequency spectrum and energy per frequency analyzed using the comparative data. From an evaluation, in particular of rolling noises, by means of the comparative data, e.g. be closed to a state of the roadway of the monitored traffic area VB with respect to dry roads, wet roads, rain, ice or snow.
  • a third method step 3 an analysis and evaluation result of each measuring point MP1, MP2, MP3 is then forwarded via a communication network NW to a central unit ZE.
  • a topology database DB may be appropriate, in which a topology of the monitored traffic area VB such as number and position of the measuring points MP1, MP2, MP3, structure, history of the traffic area VB, etc. are stored.
  • the central unit ZE represents a cumulation level in which in a fourth method step 4 the results of the measurement points MP1, MP2, MP3 and above all the results of adjacent measurement points MP1, MP2, MP3 are adjusted.
  • the traffic or a number of vehicles e.g. in a traffic area with no entrances and exits between these entrances and exits, the same - i. e. From all measuring points MP1, MP2, MP3, nearly the same or very similar results are provided.
  • the central unit ZE by accumulating and / or averaging the results in the central unit ZE an improvement in the quality of the traffic information obtained from the vehicle noise can be obtained.
  • Deviations in the results of the measuring points MP1, MP2, MP3 result in disturbances S of the traffic flow, e.g. due to construction sites, accidents, etc. or due to a change in weather conditions such as local rain shower, snow or icing border, etc.
  • Such interference S which can be derived from the results of the respective measuring point MP1, MP2, MP3, very easy to locate.
  • the disturbance S is detected by the analysis of the vehicle noises picked up at the second measuring point MP2 (the analysis shows that, for example, at the second measuring point MP2 the vehicles are standing or moving very slowly).
  • the disturbance can also be located and displayed, for example, in a fifth method step 5 via an output unit (e.g., screen, electronic card, etc.).
  • the information about the interference S can be forwarded by the central unit ZE via the communication network NW (for example radio network, etc.) to output units AE of the road users (for example navigation units and / or services) and then displayed.
  • NW for example radio network, etc.
  • the method according to the invention in particular the second method step 2 - ie the analysis and evaluation of the detected vehicle noise FG - be configured locally or decentralized.
  • FIG. 2 shows schematically and by way of example a sequence of the method according to the invention with a decentralized embodiment of the analysis or evaluation of the vehicle noises.
  • FIG. 2 an exemplary measuring point MP4 is shown, which is mounted along a traffic area VB to be monitored.
  • This measuring point MP4 comprises a measuring unit ME4.
  • an emergency call device and as a measuring unit ME4 of integrated in the emergency call device sound transducer can be used.
  • a computing unit RE1 and a comparison database V1 are accommodated in the measurement point MP4, in which the comparison data for the analysis and evaluation are stored.
  • the measuring unit ME4 is connected via an interface unit AD such as an analog / digital converter AD to the arithmetic unit RE1 and the comparison database V1.
  • the vehicle noise FG in the environment of the measuring point MP4 is detected by the measuring unit ME4.
  • These vehicle noises FG are forwarded in the second method step 2 to the arithmetic unit RE1 and analyzed and evaluated by the latter with the aid of the comparison data from the comparison database V1.
  • the results of the analysis can be stored for later further evaluation or sent in the third method step 3 via a communication network NW to the central unit ZE. Since only the results of the analysis are transmitted, only a small bandwidth in the communication network NW is necessary.
  • a detection of the vehicle noise by the measuring unit ME1 is thus an entire frequency space available, which are covered by the measuring unit ME1 and the interface unit AD.
  • the measuring point MP4 When using an emergency call device as the measuring point MP4 and the sound transducer or microphone available therein as the measuring unit ME4, this is, for example, a frequency range from 20 Hz to 16000 Hz. In addition, it can - with the exception of emergency calls - continuously vehicle noise can be detected by the measuring unit ME4.
  • the results of the measuring point MP4 are then adjusted or cumulated by the central unit ZE with results of adjacent measuring points.
  • the central unit ZE can again be provided with a topology database DB, in which a topology of the traffic area VB to be monitored is stored.
  • accumulation results such as e.g. determined disturbances in traffic or determined weather-related road conditions of an output unit AE made available for display.
  • FIG. 3 shows by way of example and schematically a measuring point MP5, which is mounted along a traffic area to be monitored VB.
  • This measuring point MP5 for example an emergency call device - again comprises a measuring unit ME5 (eg a sound transducer or a microphone) as well as an interface unit IF1.
  • a computing unit RE2 and an associated comparison database V2 are centrally located on a server.
  • a connection can be set up between the measuring point MP5 and the arithmetic unit RE2 via a first communication network NW1 and a second interface unit IF2 (eg a telephone interface) in order to transmit detected vehicle noises FG to the arithmetic unit RE2.
  • NW1 a first communication network
  • IF2 eg a telephone interface
  • the vehicle noise FG of the environment of the measuring point MP5 is detected by the measuring unit ME5.
  • a connection is first established via the first communication network NW1 to the computing unit RE2 - for example in the form of a telephone connection.
  • the first communication network NW1 can be provided, for example, an analog, an IP or ISDN telephone system.
  • the detected vehicle noises FG are then from the measuring point MP5 transmitted to the computing unit RE2 and analyzed and evaluated by this with the aid of the comparison data stored in the comparison database V2.
  • the computing unit RE2 can thus centrally analyze and evaluate the vehicle noise FG detected by a plurality of measurement points MP5.
  • the bandwidth available in the first communication network NW1 is limited to 300Hz to 3400Hz, when using a broadband telephone system to a frequency range of 300Hz to 7000Hz.
  • the results in the central unit ZE can then be adjusted accordingly and disturbances, e.g. be localized using the topology database DB.
  • accumulation results such as e.g. determined disturbances in traffic or determined weather-related road conditions of an output unit AE made available for display.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)
EP12182126.8A 2012-08-29 2012-08-29 Procédé pour déterminer informations de trafic Withdrawn EP2704120A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP12182126.8A EP2704120A1 (fr) 2012-08-29 2012-08-29 Procédé pour déterminer informations de trafic

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EP12182126.8A EP2704120A1 (fr) 2012-08-29 2012-08-29 Procédé pour déterminer informations de trafic

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EP2704120A1 true EP2704120A1 (fr) 2014-03-05

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108573602A (zh) * 2018-04-27 2018-09-25 辽宁工业大学 一种交通噪声数据采集系统及其控制方法
US11557279B2 (en) 2018-05-07 2023-01-17 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Device, method and computer program for acoustic monitoring of a monitoring area

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1209647A1 (fr) 2000-11-21 2002-05-29 Openwave Systems Inc. Système et méthode d'acquisition de données de trafic par des réseaux de communication sans fil
US20030009277A1 (en) 2001-07-03 2003-01-09 Fan Rodric C. Using location data to determine traffic information
EP1280118A1 (fr) * 2001-07-25 2003-01-29 Siemens Schweiz AG Procédé pour déterminer des situations de la circulation routière
EP1437013B1 (fr) 2001-09-13 2008-07-23 Airsage, Inc. Systeme et procede permettant de fournir des informations de trafic au moyen de donnees operationnelles developpees par un reseau sans fil
DE102009031321A1 (de) 2009-06-30 2011-01-05 Siemens Aktiengesellschaft Verfahren und System zur Ermittlung von Verkehrsinformationen
DE102009049382A1 (de) 2009-10-15 2011-04-21 Weisgerber, Martin, Dr. System zur Bestimmung von Verkehrsdichte und Verkehrsdynamik
US20120188102A1 (en) * 2011-01-26 2012-07-26 International Business Machines Corporation Systems and methods for road acoustics and road video-feed based traffic estimation and prediction

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1209647A1 (fr) 2000-11-21 2002-05-29 Openwave Systems Inc. Système et méthode d'acquisition de données de trafic par des réseaux de communication sans fil
US20030009277A1 (en) 2001-07-03 2003-01-09 Fan Rodric C. Using location data to determine traffic information
EP1280118A1 (fr) * 2001-07-25 2003-01-29 Siemens Schweiz AG Procédé pour déterminer des situations de la circulation routière
EP1437013B1 (fr) 2001-09-13 2008-07-23 Airsage, Inc. Systeme et procede permettant de fournir des informations de trafic au moyen de donnees operationnelles developpees par un reseau sans fil
DE102009031321A1 (de) 2009-06-30 2011-01-05 Siemens Aktiengesellschaft Verfahren und System zur Ermittlung von Verkehrsinformationen
DE102009049382A1 (de) 2009-10-15 2011-04-21 Weisgerber, Martin, Dr. System zur Bestimmung von Verkehrsdichte und Verkehrsdynamik
US20120188102A1 (en) * 2011-01-26 2012-07-26 International Business Machines Corporation Systems and methods for road acoustics and road video-feed based traffic estimation and prediction

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108573602A (zh) * 2018-04-27 2018-09-25 辽宁工业大学 一种交通噪声数据采集系统及其控制方法
US11557279B2 (en) 2018-05-07 2023-01-17 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Device, method and computer program for acoustic monitoring of a monitoring area

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