EP1280118A1 - Procédé pour déterminer des situations de la circulation routière - Google Patents

Procédé pour déterminer des situations de la circulation routière Download PDF

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Publication number
EP1280118A1
EP1280118A1 EP01118029A EP01118029A EP1280118A1 EP 1280118 A1 EP1280118 A1 EP 1280118A1 EP 01118029 A EP01118029 A EP 01118029A EP 01118029 A EP01118029 A EP 01118029A EP 1280118 A1 EP1280118 A1 EP 1280118A1
Authority
EP
European Patent Office
Prior art keywords
generated
method step
traffic
ambient noise
traffic conditions
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
EP01118029A
Other languages
German (de)
English (en)
Other versions
EP1280118B1 (fr
Inventor
August Dr. sc. tech. Kälin
Stefan Oberle
Bruno Ganz
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.)
Siemens Schweiz AG
Original Assignee
Siemens Schweiz 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 Siemens Schweiz AG filed Critical Siemens Schweiz AG
Priority to EP01118029A priority Critical patent/EP1280118B1/fr
Priority to DE50103768T priority patent/DE50103768D1/de
Priority to AT01118029T priority patent/ATE277392T1/de
Publication of EP1280118A1 publication Critical patent/EP1280118A1/fr
Application granted granted Critical
Publication of EP1280118B1 publication Critical patent/EP1280118B1/fr
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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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
    • 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 to a method for determining road traffic conditions from the ambient noise of a road according to the preamble of patent claim 1.
  • EP 0 789 341 A1 discloses a vehicle-autonomous detection of traffic congestion, in which individual vehicles are provided with a device which continuously records the speed of the vehicle, assigns this speed to predetermined speed classes and with the assigned speed classes form an integral over time, the value of which is used to form a backlog. Together with the position of the vehicle, the storage volume is e.g. transmitted to a data collection point via GSM.
  • WO 01/35372 describes, as an example of a fixed solution, a video surveillance system which uses so-called pattern recognition to identify the number plates of the cars on two different ones Locations recorded and a traffic condition detected by comparing the times and reported to a surveillance point or the police.
  • video surveillance With the aforementioned video surveillance, the problem of reflections occurs, which manifest themselves as very unpleasant in certain sun positions or in the rain.
  • video surveillance requires a separate infrastructure with cameras and corresponding wired or wireless connections, the provision and maintenance of which is complex.
  • a so-called microphone array is set up to determine the exact noise source and the type of propagation on a railway line, and the analysis of the microphones, which are usually located at different heights and are usually located at different heights, provides information about the exact noise source allowed on a train or on the locomotive and the path of spread.
  • a transfer and further development of such a method to the determination of road traffic would be with regard to the arrangement along a street, e.g. at a distance of 2 - 3 km with an unacceptable effort.
  • the present invention is therefore based on the object of specifying a method which allows the road traffic condition of a road section to be recorded automatically in such a way that an already existing infrastructure can be used.
  • the method according to the invention requires no additional infrastructure on site, ie on the street, since existing microphones, for example of emergency call pillars, can be used.
  • FIG. 1 The infrastructure used by the method according to the invention and as a rule already existing is shown in FIG. 1.
  • Emergency telephones are arranged along a street at intervals of approx. 500 m to approx. 2 km, have a microphone that can be activated by a police station.
  • This control center has an evaluation unit, which activates the microphones contained in the emergency call pillars on the basis of predetermined settings or, if necessary, by intervention of an official.
  • the disposition of such emergency call pillars is usually individual, i.e. the distance and the relative position to the at least one lane depends on the local conditions and, depending on the country, on legal requirements.
  • an emergency call column is usually also arranged directly on the opposite side in the same position (not shown in FIG. 1).
  • the microphone is arranged in the direction of travel r ′′, it is also possible to dispose the receiving cone orthogonally to the roadway 2 ′, 2 ′′ or against the direction of travel r ′.
  • the microphones of the individual emergency call pillars can be activated or deactivated by the control center mentioned.
  • the method according to the invention provides that a central evaluation unit activates the various emergency call pillars or the microphones contained therein and activates them during a previously configured, ie adjustable interval for a likewise adjustable duration and records the ambient noise and as a so-called noise pattern is transmitted to the central evaluation unit.
  • a central evaluation unit activates the various emergency call pillars or the microphones contained therein and activates them during a previously configured, ie adjustable interval for a likewise adjustable duration and records the ambient noise and as a so-called noise pattern is transmitted to the central evaluation unit.
  • this does not affect the use of the emergency call column by a person in an emergency. In such a case, the transmission of the noise pattern would be interrupted and the microphone would be activated again at a later time.
  • FIG 3 shows an overview of the different method steps of the method according to the invention with the blocks 31, 32, 33 and 34 implemented in an evaluation unit.
  • the ambient noise is picked up by the microphone 6 contained in the emergency call pillar 3.
  • This microphone 6 is activated by the mentioned evaluation unit, for example the ambient noise is periodically during an interval of e.g. 60 s recorded by the micron and transmitted to the evaluation unit as noise pattern A1 (also called frame).
  • the periodicity is 15 minutes, for example.
  • These samples are preferably in digital form with a resolution of e.g. 16 bit.
  • the digital audio signals of the aforementioned three bands are then subjected to smoothing in units 413, 423 and 433, and undersampling in units 414, 424 and 434 results in a reduction in the number of samples without loss of information , this last statement is based on the Shannon-Whittaker theorem.
  • the signals generated by the units 414, 424 and 434 are designated S1, S2 and S3, the signal S1 standing for the frequency band up to 200 Hz and S2 and S3 correspondingly in the order for the other two frequency bands mentioned above.
  • the number 60 refers to the expansion from 1 s to one minute.
  • the signals S1, S2, S3 themselves represent a level which corresponds to the sound pressure, which, apart from a scaling, has the unit [N / m 2 ].
  • a feature extraction takes place, which is shown in more detail in FIG. 5 with the units 51, 52, 53.
  • the ripple of the power is determined from signal S2 by differentiation according to time t, the amount being derived from the derivative. It would also be possible to square the derivative instead of the amount.
  • the ripple determined in this way can be used as a feature M1 for the traffic conditions Z1 "moderate traffic” and Z3 "heavy traffic" to distinguish the condition Z4 "traffic jam".
  • the signals S1 and S2 are subjected to a spectral performance comparison by the unit 52: on the basis of extensive measurements, it has been shown that the quotient listed below in the traffic state Z4 Traffic jam is reasonably constant and can therefore be used as characteristic M2 for traffic condition Z4: average power P in the band 200 - 2000 Hz average power P in the band up to 200 Hz
  • a power peak is determined from signal S3.
  • the feature M3 obtained in this way is suitable for determining the traffic conditions Z1, Z2 and Z3.
  • Z (t) The features defined above are supplied to the unit 34 - see FIG. 3 for this purpose - for illustration Z (t): ⁇ M1, M2, M3 ⁇ ⁇ ⁇ Z1, Z2, Z3, Z4 ⁇ .
  • Z (t) is referred to as the status indicator and assigns the feature streaks ⁇ M1, M2, M3 ⁇ determined in block 33 to a road traffic condition from the image area Z1, Z2, Z3 Z4.
  • This mapping takes place on the basis of previously stored characteristic values and characteristic value ranges from the respective value range of M1, M2 and M3. Since the road traffic state is discrete in order of time or continuous, the aforementioned figure Z (t) contains a state machine (also called a state machine) according to FIG. 6.
  • the robustness can be further increased by analyzing the determined traffic conditions at most with a time delay.
  • the "collision" case when the traffic conditions drift apart between two immediately adjacent detection points can be determined directly .
  • the time delay between the two detection points mentioned can be analyzed and thus gives an even better quality of the detection of the traffic conditions.
  • each emergency call column has an evaluation unit of the aforementioned type and transmits the traffic condition indicator Z (t) to a superordinate monitoring point.
  • the type of feature extraction is neither restricted to the three specified frequency bands F1, F2 and F3, nor to the specified ripple determination, the spectral power comparison by quotient formation or the power peak determination.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
EP01118029A 2001-07-25 2001-07-25 Procédé pour déterminer des situations de la circulation routière Expired - Lifetime EP1280118B1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
EP01118029A EP1280118B1 (fr) 2001-07-25 2001-07-25 Procédé pour déterminer des situations de la circulation routière
DE50103768T DE50103768D1 (de) 2001-07-25 2001-07-25 Verfahren zur Feststellung von Strassenverkehrszuständen
AT01118029T ATE277392T1 (de) 2001-07-25 2001-07-25 Verfahren zur feststellung von strassenverkehrszuständen

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP01118029A EP1280118B1 (fr) 2001-07-25 2001-07-25 Procédé pour déterminer des situations de la circulation routière

Publications (2)

Publication Number Publication Date
EP1280118A1 true EP1280118A1 (fr) 2003-01-29
EP1280118B1 EP1280118B1 (fr) 2004-09-22

Family

ID=8178134

Family Applications (1)

Application Number Title Priority Date Filing Date
EP01118029A Expired - Lifetime EP1280118B1 (fr) 2001-07-25 2001-07-25 Procédé pour déterminer des situations de la circulation routière

Country Status (3)

Country Link
EP (1) EP1280118B1 (fr)
AT (1) ATE277392T1 (fr)
DE (1) DE50103768D1 (fr)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004100103A1 (fr) * 2003-05-07 2004-11-18 Koninklijke Philips Electronics N.V. Systeme de detection d'evenements
FR2875324A1 (fr) * 2004-09-13 2006-03-17 Parifex Systeme de detection de passage et de comptage de vehicules a moteur
EP2704120A1 (fr) * 2012-08-29 2014-03-05 Siemens Convergence Creators GmbH Procédé pour déterminer informations de trafic
EP2733688A1 (fr) * 2012-11-14 2014-05-21 Wolfsburg AG Dispositif d'information de véhicule, unité de communication de véhicule et procédé de transmission d'informations utiles pour le trafic routier dans une zone
DE102014017604A1 (de) 2014-11-27 2016-06-02 Audi Ag Verfahren zum Ermitteln einer Lärmbelastung eines Streckenabschnitts

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5717391A (en) * 1997-02-13 1998-02-10 Rodriguez; Otto M. Traffic event recording method and apparatus
US5778332A (en) * 1995-11-17 1998-07-07 J-Squared, Llc Electronic nervous system for a roadway and method
US5878367A (en) * 1996-06-28 1999-03-02 Northrop Grumman Corporation Passive acoustic traffic monitoring system
EP1056063A1 (fr) * 1999-05-17 2000-11-29 Siemens Schweiz AG Méthode et dispositif de détection des conditions du trafic d'un segment de route
US6195608B1 (en) * 1993-05-28 2001-02-27 Lucent Technologies Inc. Acoustic highway monitor

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6195608B1 (en) * 1993-05-28 2001-02-27 Lucent Technologies Inc. Acoustic highway monitor
US5778332A (en) * 1995-11-17 1998-07-07 J-Squared, Llc Electronic nervous system for a roadway and method
US5878367A (en) * 1996-06-28 1999-03-02 Northrop Grumman Corporation Passive acoustic traffic monitoring system
US5717391A (en) * 1997-02-13 1998-02-10 Rodriguez; Otto M. Traffic event recording method and apparatus
EP1056063A1 (fr) * 1999-05-17 2000-11-29 Siemens Schweiz AG Méthode et dispositif de détection des conditions du trafic d'un segment de route

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004100103A1 (fr) * 2003-05-07 2004-11-18 Koninklijke Philips Electronics N.V. Systeme de detection d'evenements
FR2875324A1 (fr) * 2004-09-13 2006-03-17 Parifex Systeme de detection de passage et de comptage de vehicules a moteur
EP2704120A1 (fr) * 2012-08-29 2014-03-05 Siemens Convergence Creators GmbH Procédé pour déterminer informations de trafic
EP2733688A1 (fr) * 2012-11-14 2014-05-21 Wolfsburg AG Dispositif d'information de véhicule, unité de communication de véhicule et procédé de transmission d'informations utiles pour le trafic routier dans une zone
DE102014017604A1 (de) 2014-11-27 2016-06-02 Audi Ag Verfahren zum Ermitteln einer Lärmbelastung eines Streckenabschnitts
DE102014017604B4 (de) * 2014-11-27 2016-07-14 Audi Ag Verfahren zum Ermitteln einer Lärmbelastung eines Streckenabschnitts

Also Published As

Publication number Publication date
DE50103768D1 (de) 2004-10-28
EP1280118B1 (fr) 2004-09-22
ATE277392T1 (de) 2004-10-15

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