EP0789341A1 - Détection de bouchon de circulation embarquée dans le véhicule - Google Patents
Détection de bouchon de circulation embarquée dans le véhicule Download PDFInfo
- Publication number
- EP0789341A1 EP0789341A1 EP97250017A EP97250017A EP0789341A1 EP 0789341 A1 EP0789341 A1 EP 0789341A1 EP 97250017 A EP97250017 A EP 97250017A EP 97250017 A EP97250017 A EP 97250017A EP 0789341 A1 EP0789341 A1 EP 0789341A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- vehicle
- traffic
- speed
- classes
- speed classes
- 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
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 19
- 238000004891 communication Methods 0.000 claims description 9
- 230000010354 integration Effects 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000013459 approach Methods 0.000 claims description 4
- 230000002123 temporal effect Effects 0.000 claims description 2
- 230000015572 biosynthetic process Effects 0.000 claims 1
- 230000006870 function Effects 0.000 abstract description 4
- 230000005540 biological transmission Effects 0.000 description 7
- 239000000523 sample Substances 0.000 description 6
- 238000013480 data collection Methods 0.000 description 3
- 230000003247 decreasing effect Effects 0.000 description 2
- 208000003443 Unconsciousness Diseases 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Images
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]
-
- 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
- G08G1/01—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
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
Definitions
- the invention relates to a method for the automatic vehicle-autonomous detection of traffic jams and a device for carrying out this method. It is therefore an automatic determination of a measure for assessing the traffic-dependent accessibility of roads.
- DE 43 21 437 A1 discloses a method for the automatic vehicle-autonomous detection of traffic information, i.e. Travel information entered in the vehicle is processed with traffic information acquired via radio and with an on-board traffic database.
- the recording and description of the traffic situation is an essential task in the area of traffic telematics, which aims to rectify and avoid situations with traffic congestion as far as possible by appropriately anticipating redirection of road users onto less congested roads.
- stationary detection devices e.g. beacons, induction loops or similar
- This is not only associated with very high costs for the creation and maintenance of the required infrastructure, but also has the disadvantage that these facilities only have a locally extremely narrow range of use due to the system. The installation of a huge number of detection devices is therefore necessary for a comprehensive traffic situation detection.
- a problem with the "floating probes" is that the continuous transmission of the current speed of a large number of vehicles is an extremely heavy burden on the transmission channels of the communication device and, moreover, constitutes a significant cost factor when using a fee-based communication system. This is to be seen against the background that predominantly information is transmitted that does not really provide any new information. It would therefore be useful if the transmission of information could at least be largely restricted to periods of time in which critical traffic situations are forming, have already started or are disappearing. One should therefore be able to determine the time periods in which interesting changes in road traffic occur. This could, as has also already become known, be made possible by the fact that the relevant traffic situation information is provided by people in the "floating probes" (so-called congestion detectors) as required.
- the object of the invention is therefore to provide a method and a device for carrying it out which is automatic, that is to say independent of persons Vehicle-autonomous detection of traffic congestion enables, so that depending on it a targeted transmission of really important traffic information can take place.
- the invention provides that the speed of a vehicle in a sample vehicle fleet is continuously recorded and passed to an in-vehicle classification device.
- This classifying device has access to speed classes which are stored in a storage device for default values, preferably depending on the road type.
- the default values can be stored as fixed values or as dynamically variable quantities. For example, the specification could be made when the respective device is switched on and the subsequent initialization. It is particularly advantageous to be able to change the default values from a central station as required (e.g. using mobile radio).
- the classifying device assigns the detected value of the current speed to one of these speed classes.
- this assignment is made to speed classes, which are defined by predefined limit values.
- At least three speed classes are expediently provided.
- the limits of the speed classes should be determined depending on the type of road. For example, while a multiple division in the lower speed range makes sense for urban streets, the middle and upper speed range should also be considered as a separate class for motorways, for example.
- the functional block example shown in FIG. 2 for a device for carrying out the method according to the invention has the speed detection device 1, the data output of which is connected to a classifying device 2 in which the continuously measured instantaneous vehicle speeds are assigned to a speed class.
- the default values for these speed classes can be classified by the classifying device 2, preferably as Non-volatile memory remove trained storage device 4 for speed classes.
- the data output of the classification device 2 is connected to the data input of an integration device 3.
- the result of the integration is sent to an evaluation device 5, which supplies a stowage dimension representative of the respective traffic situation in the area of the vehicle in question in the sample vehicle fleet, preferably in the form of a probability value for the occurrence of the "traffic jam" event.
- this stowage dimension enables the device according to the invention to automatically recognize critical or critical traffic situations without any manual intervention and to activate, for example, a communication device 6, with the aid of which situation-related transmission of important traffic situation information to a corresponding collection point can take place.
- the communication device can be deactivated again. This can be the case, for example, if a vehicle is in a traffic jam for a long time, that is to say the size of the traffic jam practically does not change. However, it can be of particular interest to recognize the point in time when this vehicle leaves the stowage area again.
- the device according to the invention can be equipped with a position determination device (not shown) (for example on the basis of navigation satellites).
- the method according to the invention enables a completely automatic decentralized, ie vehicle-autonomous, determination of a representative measure of the "traffic jam" situation with intermediate gradations that can be refined as required up to the "free travel” situation in a very simple manner.
- the necessary In-vehicle device is very simple and inexpensive to manufacture from standard components.
- the invention makes it possible to keep the scope of the communication requirements for a sample vehicle fleet required for meaningful traffic situation detection to a minimum, since automatic autonomous detection of situations in which traffic situation information should be transmitted to a data collection point is possible with sufficient reliability.
Landscapes
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE19606258A DE19606258C1 (de) | 1996-02-06 | 1996-02-06 | Fahrzeugautonome Detektion von Verkehrsstau |
| DE19606258 | 1996-02-06 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP0789341A1 true EP0789341A1 (fr) | 1997-08-13 |
| EP0789341B1 EP0789341B1 (fr) | 2001-05-09 |
Family
ID=7785891
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP97250017A Expired - Lifetime EP0789341B1 (fr) | 1996-02-06 | 1997-01-29 | Détection de bouchon de circulation embarquée dans le véhicule |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US6131064A (fr) |
| EP (1) | EP0789341B1 (fr) |
| AT (1) | ATE201109T1 (fr) |
| DE (2) | DE19606258C1 (fr) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1262934A3 (fr) * | 2001-06-01 | 2003-11-05 | DDG Gesellschaft für Verkehrsdaten mbH | Méthode pour la detection de la situation du trafic routier |
| US6865475B2 (en) | 2000-07-19 | 2005-03-08 | Volkswagen Ag | Method for determining traffic related information |
| WO2019007111A1 (fr) * | 2017-07-04 | 2019-01-10 | 山东省交通规划设计院 | Procédé de détermination d'événement anormal de route |
Families Citing this family (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6329932B1 (en) * | 1997-02-14 | 2001-12-11 | Mannesmann Ag | Method for determining traffic data and traffic information exchange |
| US6680694B1 (en) * | 1997-08-19 | 2004-01-20 | Siemens Vdo Automotive Corporation | Vehicle information system |
| US6707421B1 (en) * | 1997-08-19 | 2004-03-16 | Siemens Vdo Automotive Corporation | Driver information system |
| DE19743257A1 (de) * | 1997-09-30 | 1999-04-08 | Bosch Gmbh Robert | Datenübertragungsverfahren |
| DE19750942A1 (de) * | 1997-11-17 | 1999-05-20 | Delphi 2 Creative Tech Gmbh | Verfahren und Vorrichtung zum Signalisieren von lokalen Verkehrsstörungen |
| DE19835979B4 (de) * | 1998-08-08 | 2005-01-05 | Daimlerchrysler Ag | Verfahren zur Verkehrszustandsüberwachung und Fahrzeugzuflußsteuerung in einem Straßenverkehrsnetz |
| DE19964644B3 (de) * | 1999-04-16 | 2015-02-05 | Deutsche Telekom Ag | Verfahren zum Erkennen von Stausituationen auf Straßen und Fahrzeuggeräte mit einer Einheit zur Durchführung des Verfahrens |
| DE19917154B4 (de) * | 1999-04-16 | 2013-09-05 | Deutsche Telekom Ag | Verfahren zum Erkennen von Stausituationen auf Straßen und Fahrzeuggeräte mit einer Einheit zur Durchführung des Verfahrens |
| DE19948416B4 (de) * | 1999-10-07 | 2014-09-04 | Deutsche Telekom Ag | Verfahren und Anordnung zum Ermitteln des Verkehrszustandes |
| DE10103392A1 (de) * | 2001-01-26 | 2002-08-08 | Bosch Gmbh Robert | Verfahren zur automatischen Stauwarnung |
| US6850269B2 (en) | 2001-12-03 | 2005-02-01 | James F. Maguire | Mobile traffic camera system |
| DE10317966A1 (de) * | 2003-04-17 | 2004-11-18 | Siemens Ag | System zur Ermittlung von Verkehrsdaten |
| JP2005043120A (ja) * | 2003-07-24 | 2005-02-17 | Honda Motor Co Ltd | 車両用ナビゲーションシステム |
| DE50310628D1 (de) * | 2003-12-19 | 2008-11-20 | Bayerische Motoren Werke Ag | Erfahren |
| US7609156B2 (en) | 2004-04-07 | 2009-10-27 | Jeffrey D Mullen | Advanced cooperative defensive military tactics, armor, and systems |
| JP2007011558A (ja) * | 2005-06-29 | 2007-01-18 | Nissan Motor Co Ltd | 渋滞予測装置および方法 |
| DE102005050277A1 (de) | 2005-10-20 | 2007-04-26 | Robert Bosch Gmbh | Abstands- und Geschwindigkeitsregler mit Stauerkennung |
| DE102005055245A1 (de) * | 2005-11-19 | 2007-05-31 | Daimlerchrysler Ag | Verfahren zur Erstellung einer Verkehrsmusterdatenbank |
| US7809487B2 (en) * | 2007-09-14 | 2010-10-05 | Ford Global Technologies, Llc | Method and system for controlling a motive power system of an automotive vehicle |
| JP5024134B2 (ja) * | 2008-03-14 | 2012-09-12 | アイシン・エィ・ダブリュ株式会社 | 走行情報作成装置、走行情報作成方法及びプログラム |
| WO2009116105A2 (fr) * | 2008-03-21 | 2009-09-24 | Gianfranco Antonini | Procédé d'attribution de trafic pour des réseaux de transport multimodaux |
| WO2009118988A1 (fr) | 2008-03-27 | 2009-10-01 | Aisin Aw Co., Ltd. | Dispositif d'aide à la conduite, procédé d'aide à la conduite et programme d'aide à la conduite |
| US20090063201A1 (en) * | 2008-10-11 | 2009-03-05 | Nowotarski Mark S | SoberTeenTM Driving Insurance |
| US9154982B2 (en) * | 2009-04-02 | 2015-10-06 | Trafficcast International, Inc. | Method and system for a traffic management network |
| WO2015134311A1 (fr) * | 2014-03-03 | 2015-09-11 | Inrix Inc | Détection d'obstructions de circulation |
| CN105321347A (zh) * | 2015-09-18 | 2016-02-10 | 西安电子科技大学 | 一种分层次的路网交通拥堵评价方法 |
| EP3340203B1 (fr) * | 2016-12-20 | 2024-12-04 | Bayerische Motoren Werke Aktiengesellschaft | Système d'estimation de vitesse de la circulation |
| JP6711294B2 (ja) * | 2017-02-03 | 2020-06-17 | トヨタ自動車株式会社 | 運転支援装置 |
| US10409286B2 (en) * | 2017-07-21 | 2019-09-10 | Ford Global Technologies, Llc | Highway detection systems and methods |
| JPWO2020116030A1 (ja) * | 2018-12-03 | 2021-10-07 | 日本電気株式会社 | 道路監視システム、道路監視装置、道路監視方法、及びプログラム |
| DE102019207693B3 (de) * | 2019-05-27 | 2020-08-20 | Volkswagen Aktiengesellschaft | Verfahren zum Bestimmen einer Parallelfahrwahrscheinlichkeit von Kraftfahrzeugen |
| CN110570654B (zh) * | 2019-09-16 | 2022-06-24 | 河南工业大学 | 一种基于免疫的路段交通拥堵动态检测方法 |
| US12347311B2 (en) * | 2021-04-09 | 2025-07-01 | Nec Corporation | Road monitoring system, road monitoring device, and road monitoring method |
| CN115098748A (zh) * | 2022-07-27 | 2022-09-23 | 广西盖德科技有限公司 | 基于流速个性化评估业务效率的图示方法和系统 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE4321437A1 (de) | 1993-06-28 | 1994-02-17 | Kraiss Karl Friedrich Prof Dr | Verfahren zur Verkehrsregelung und zur Ermittlung zielführender Verkehrsinformation an Bord von Kraftfahrzeugen auf Fernstraßen |
| WO1995014292A1 (fr) * | 1993-11-19 | 1995-05-26 | Philips Electronics N.V. | Systeme de controle de la circulation a communications reduites |
| WO1995025321A1 (fr) * | 1994-03-14 | 1995-09-21 | Siemens Aktiengesellschaft | Procede de detection du trafic et de situations de trafic sur des axes routiers, de preference sur des autoroutes |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2655953B2 (ja) * | 1991-07-19 | 1997-09-24 | 株式会社日立製作所 | 交通制御システム |
| EP0625770B1 (fr) * | 1993-05-11 | 1998-03-04 | STMicroelectronics S.r.l. | Méthode et dispositif interactif de surveillance de trafic routier |
| JP3079881B2 (ja) * | 1993-08-10 | 2000-08-21 | 三菱自動車工業株式会社 | 道路交通状況推定方法および車両運転特性制御方法 |
| DE19521917C2 (de) * | 1994-11-28 | 2001-03-01 | Mannesmann Ag | Verfahren und Vorrichtung zur Positionsbestimmung eines Fahrzeugs |
| DE69535394T2 (de) * | 1994-12-28 | 2007-10-31 | Omron Corp. | Verkehrsinformationssystem |
| US5745865A (en) * | 1995-12-29 | 1998-04-28 | Lsi Logic Corporation | Traffic control system utilizing cellular telephone system |
-
1996
- 1996-02-06 DE DE19606258A patent/DE19606258C1/de not_active Expired - Fee Related
-
1997
- 1997-01-29 EP EP97250017A patent/EP0789341B1/fr not_active Expired - Lifetime
- 1997-01-29 DE DE59703486T patent/DE59703486D1/de not_active Expired - Lifetime
- 1997-01-29 AT AT97250017T patent/ATE201109T1/de not_active IP Right Cessation
- 1997-02-04 US US08/794,806 patent/US6131064A/en not_active Expired - Lifetime
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE4321437A1 (de) | 1993-06-28 | 1994-02-17 | Kraiss Karl Friedrich Prof Dr | Verfahren zur Verkehrsregelung und zur Ermittlung zielführender Verkehrsinformation an Bord von Kraftfahrzeugen auf Fernstraßen |
| WO1995014292A1 (fr) * | 1993-11-19 | 1995-05-26 | Philips Electronics N.V. | Systeme de controle de la circulation a communications reduites |
| WO1995025321A1 (fr) * | 1994-03-14 | 1995-09-21 | Siemens Aktiengesellschaft | Procede de detection du trafic et de situations de trafic sur des axes routiers, de preference sur des autoroutes |
Non-Patent Citations (2)
| Title |
|---|
| IOKIBE T ET AL: "TRAFFIC PREDICTION METHOD BY FUZZY LOGIC", PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, SAN FRANCISCO, MAR. 28 - APR. 1, 1993, vol. 2, 28 March 1993 (1993-03-28), INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, pages 673 - 678, XP000371490 * |
| LINNARTZ J -P M G ET AL: "MONITORING A METROPOLITAN FREEWAY SYSTEM USING PROBE VEHICLES AND RANDOM ACCESS RADIO CHANNEL", PROCEEDINGS OF THE VEHICULAR TECHNOLOGY CONFERENCE, STOCKHOLM, JUNE 8 - 10, 1994, vol. 1, 8 June 1994 (1994-06-08), INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, pages 410 - 414, XP000496706 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6865475B2 (en) | 2000-07-19 | 2005-03-08 | Volkswagen Ag | Method for determining traffic related information |
| EP1262934A3 (fr) * | 2001-06-01 | 2003-11-05 | DDG Gesellschaft für Verkehrsdaten mbH | Méthode pour la detection de la situation du trafic routier |
| WO2019007111A1 (fr) * | 2017-07-04 | 2019-01-10 | 山东省交通规划设计院 | Procédé de détermination d'événement anormal de route |
| US10573174B2 (en) | 2017-07-04 | 2020-02-25 | Shandong Provincial Communications Planning And Design Institute | Method for judging highway abnormal event |
Also Published As
| Publication number | Publication date |
|---|---|
| DE59703486D1 (de) | 2001-06-13 |
| US6131064A (en) | 2000-10-10 |
| EP0789341B1 (fr) | 2001-05-09 |
| DE19606258C1 (de) | 1997-04-30 |
| ATE201109T1 (de) | 2001-05-15 |
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