EP0944890B1 - Verfahren zur vervollständigung und/oder verifizierung von den zustand eines verkehrsnetzes betreffenden daten; verkehrszentrale - Google Patents
Verfahren zur vervollständigung und/oder verifizierung von den zustand eines verkehrsnetzes betreffenden daten; verkehrszentrale Download PDFInfo
- Publication number
- EP0944890B1 EP0944890B1 EP97953622A EP97953622A EP0944890B1 EP 0944890 B1 EP0944890 B1 EP 0944890B1 EP 97953622 A EP97953622 A EP 97953622A EP 97953622 A EP97953622 A EP 97953622A EP 0944890 B1 EP0944890 B1 EP 0944890B1
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- European Patent Office
- Prior art keywords
- data
- traffic
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- moment
- past
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- 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.)
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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
Definitions
- the invention relates to a method for completing and / or verifying data relating to the state of a traffic network.
- a traffic center generates the current state or a future state traffic reports concerning the traffic network due to stationary Detectors measured data measured at certain positions in the traffic network (in particular average speed, number of vehicles, vehicle density) and / or based on measurement data measured by mobile detectors (FCD), in particular Vehicle speeds.
- FCD mobile detectors
- measurement data are not nationwide with regard to the transport network; of Measured data measured in mobile detectors in motor vehicles are not available there, where there are no vehicles with mobile detectors.
- Measurement data from stationary detectors are only available where there are stationary detectors in Are in operation and have just transmitted measurement data, the transmission of Measurement data, for example in the case of detectors operated with solar energy, only in relative large time intervals can take place. Because of the area coverage Incompleteness is the verification of errors difficult and the quality of the traffic reports created is less than optimal.
- the object of the present invention is a simple, inexpensive, efficient optimization of the generation of a traffic report regarding a current or future state of the transport network.
- the task is through solved the subjects of the independent claims.
- the traffic condition analysis is used to complete and / or verify and / or forecast optimized in a traffic control center.
- the type of feedback depends on the type of data being fed back.
- a cyclical feedback of characteristic lines is particularly useful condensed historical data; a traffic curve is, for example, the traffic density curve on Mondays etc.
- Model component after each time step can check whether one is based on data assumption made by a sensor about a traffic condition downstream in the Traffic is consistent with data arriving there.
- Completion and / or verification of measurement data can, if the Condition data or forecast data other (in particular derived) quantities of the Transport network concern, taking into account relationships of derived sizes and sizes related to measurement data.
- Completion and verification of measurement data is also a completion and / or verification in particular of the current state of a traffic network relevant status data possible.
- Forecast data calculated at times for completion and / or verification indirectly from the status data relating to the current status Completion and / or verification of measurement data and / or by at least partial transmission of feedback fed back into a basic component with measurement data State data and / or forecast data in a for state data calculation planned model components take place. Also in a forecast component of the Traffic control center creates forecasts about the state of a traffic network a future point in time is hereby optimized if it is based on completed and / or verified measurement data and / or on the basis of completed and / or verified status data.
- the current state of a traffic network can be calculated from to measured data measured at the current time and from one or more Traffic conditions of the traffic network take place at past times.
- Different process components can be used alternatively or side by side for verification and / or further completion under Use of the possibly completed or verified measurement data become.
- a flow model and / or fuzzy logic and / or is particularly expedient an interference behavior detection and / or a domain model sub-method Determination of the current state of the transport network.
- the forecast regarding the future point in time can be the previous status and / or the Status data relating to current status, possibly completed or verified status data and / or previously measured, additionally or instead completed or Verified measurement data (which from the model component as from a multiplexer can be passed on to the forecast component) can be used.
- states and / or are expedient Statistical data relating to the traffic network at past times Historical database data used.
- the historical database which can be assigned to the basic component in a traffic control center, continuously updated in the traffic control center with measurement data and / or status data.
- the historical database can in particular show temporal courses of measurement data and / or Condition line data for completion and / or Verification included; Such curve data can in particular be temporal Course of measurement data and / or states in the course of a day of the week contain; fluctuations over the course of a year may also be saved his.
- a program for carrying out the method according to the invention can be carried out in a Traffic center can be realized.
- vehicles 2, 3 are driving on a road 1 (for example, the A8 motorway) with detectors 4, 5 and vehicles 6, 7, 8 without detectors.
- the detectors 4, 5 in For example, vehicles determine their vehicle positions with GPS as well as theirs Speeds etc. and report them as measurement data 12 to the traffic control center 9.
- the Traffic control center 9 creates the current state on the basis of measurement data 12, 13 traffic reports relating to a traffic network, such as current traffic jam reports, current travel times as well as traffic forecasts for future times, such as for example expected traffic jams etc. and sends (14) Traffic status reports and traffic forecast reports via radio, radio, Cellular phones etc. to participants.
- measurement data 12, 13 are not nationwide with regard to the traffic network, since measurement data from mobile detectors in vehicles 2, 3 are only transmitted there, where there are vehicles and there are measurement data 13 from stationary detectors 10, 11 can only be determined where detectors are located and are in operation and just broadcast.
- Fig. 2 illustrates the improvement of traffic reports according to the invention current traffic condition and / or traffic forecasts by multiple Feedback of data of different types in that shown in Fig. 2 Traffic control center 9.
- the traffic control center 9 continuously receives measured data 12 (shown as input values through the data container) and measurement data 13 (represented by the data container STD) from stationary detectors at a variety of locations in the transport network.
- the measurement data 12, 13 are stored in the program and database component BAS 15 the traffic control center 9 continuously in a historical database with time reference of the Measurement data 12, 13 stored.
- BAS contains measurement data from past Points in time until shortly before the current point in time.
- BAS 15 can also contain measurement data 12, 13 that have just been measured and / or measurement data from the historical Database in past 15 times as a multiplexer or Database interface 15 to a model component 16 of the control center 9 or / and this upstream components 17 to 20 for the calculation of Pass on traffic conditions.
- the model component 16 calculates (17 to 20) current traffic conditions of the traffic network at different locations of the Transport network. Status data relating to states at past times can be stored in the model component 16 or in the base component 15 his.
- Status data 21 relating to the current traffic status can from the model component into the base component 15 or from the Model component via the base component 15 into the model component 16 (immediately or delayed via a historical database) for completion and / or Verification of status data and / or measurement data are fed back 30.
- the Feedback of measurement data is here as a cyclic feedback 30 Base component 15 shown to complete measurement data.
- Can also in the model component 16 of the control center 9 traffic reports 23 on the current Traffic status of the traffic network is broadcast at one or more locations (Fig. 1/24).
- the status data of at least the current time are used in the Forecast component 25 of the traffic center 9 a traffic forecast for Generate traffic network for at least one future point in time (26, 27, 28) and output as traffic forecast data 29.
- a traffic forecast for Generate traffic network for at least one future point in time (26, 27, 28) and output as traffic forecast data 29.
- a forwarding of the traffic forecasts made at past times which, for example, can relate to the current time from which Base component 15 to the model component 16 possible.
- Forecast data 29 for completing and / or verifying measurement data and / or status data can be used at the current time.
- Feedback data 29 to be fed back or to be fed back can be made in the Forecast component 25 in a buffer, not shown, or in the Base component 15 can be stored in a historical database.
- the feedback of forecast data and status data enables one Completion and / or verification of measurement data and / or status data, which optimizes both traffic reports 23 and traffic forecasts 29.
- traffic forecasts 29 on the basis of status data 21 for current and possibly past times in model component 16 and possibly additional of measurement data at the current or past times with different procedures.
- they are microscopic Method 26, mesoscopic 27 or macroscopic 28 methods of creation suitable from traffic forecasts. Possibly. can also use several of the methods 26 to 28 run side by side and the forecast data obtained is completed and / or verified.
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- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Monitoring And Testing Of Exchanges (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Description
- Fig. 1
- schematisch auf einer Straße fahrende Fahrzeuge mit mobilen Detektoren, stationäre Detektoren an der Straße und eine Verkehrszentrale,
- Fig. 2
- als grobes Blockschaltbild einer Verkehrszentrale eingehende, rückgekoppelte, weiterverarbeitete und ausgegebene Daten und Komponenten der Verkehrszentrale.
Claims (7)
- Verfahren zur Vervollständigung und/oder Verifizierung von den Zustand eines Verkehrsnetzes (1) betreffenden Daten (12, 13; 21) in einer Verkehrszentrale (9), wobei zur Vervollständigung der bis zum jetzigen Zeitpunkt von ortsfesten oder mobilen Detektoren aufgenommenen Daten Daten folgender Art verwendet werden:wobei eine Modellkomponente aktuelle Verkehrszustände des Verkehrsnetzes an unterschiedlichen Orten des Verkehrsnetzes berechnet, wobei Daten der Datenarten a) bis c) aus der Verkehrszustandsanalyse zu den Meßdaten (12,13) rückgekoppelt werden, wobeia) verdichtete historische Daten (15),b) für mindestens einen Zeitpunkt vor dem jetzigen Zeitpunkt berechnete, den Zustand des Verkehrsnetzes (1) zu diesem Zeitpunkt betreffende Zustandsdaten (21) undc) zu einem vergangenen Zeitpunkt berechnete, einen gegenüber diesem vergangenen Zeitpunkt zukünftigen Zeitpunkt betreffende Prognosedaten (29),die verdichteten historischen Daten (15) zyklisch rückgekoppelt werden undbei der Rückkopplung von vergangene Zeitpunkte betreffenden Zustandsdaten (b) und von zu vergangenen Zeitpunkten berechneten Prognosedaten (c) ein zumindest teilweises Durchreichen von in eine Basiskomponente mit Meßdaten rückgekoppelten Zustandsdaten oder Prognosedaten in die zur Zustandsdatenberechnung vorgesehene Modellkomponente erfolgt unddie Modellkomponente nach jedem Zeitschritt prüft, ob eine aufgrund von Daten eines Detektors (Sensors) gemachte Annahme über einen Verkehrszustand stromabwärts im Verkehr mit dort eintreffenden Daten konsistent ist.
- Verfahren nach Anspruch 1,
dadurch gekennzeichnet, daß zeitliche Verläufe von Meßdaten (12, 13) und/oder von Zuständen betreffende Gangliniendaten in der historischen Datenbank abgespeichert und zur Vervollständigung und/oder Verifizierung von Meßdaten und/oder Zustandsdaten verwendet werden. - Verfahren nach einem der vorhergehenden Ansprüche,
dadurch gekennzeichnet, daß mindestens einen vergangenen Zeitpunkt betreffende Meßdaten verifiziert und/oder vervollständigt werden. - Verfahren nach einem der vorhergehenden Ansprüche,
dadurch gekennzeichnet, daß eine Vervollständigung und/oder Verifizierung von den Zustand des Verkehrsnetzes zu einem vergangenen Zeitpunkt betreffenden Zustandsdaten erfolgt.. - Verkehrszentrale (9) mit einem Speicher, einem im Speicher gespeicherten Programm zur Durchführung des Verfahrens nach einem der vorhergehenden Ansprüche, mit einem Speicher für Daten (12, 13, 21, 29), mit einem Prozessor zum Abarbeiten des Programms und mit einer Kommunikationseinrichtung zur Eingabe von Meßdaten (12, 13).
- Verkehrszentrale (9) nach Anspruch 5,
dadurch gekennzeichnet, daß sie eine Mobilfunkeinrichtung zum Empfang von Meßdaten aufweist. - Verkehrszentrale nach Anspruch 5 oder 6,
dadurch gekennzeichnet, daß sie einen Sender oder eine Schnittstelle zu einem Sender zur Ausgabe von Verkehrsmeldungen (23) und/oder Verkehrsprognosen (29) aufweist.
Applications Claiming Priority (7)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE19653689 | 1996-12-16 | ||
| DE19653689 | 1996-12-16 | ||
| DE1965368 | 1996-12-16 | ||
| DE1975448 | 1997-11-27 | ||
| DE19754483A DE19754483A1 (de) | 1996-12-16 | 1997-11-27 | Verfahren zur Vervollständigung und/oder Verifizierung von den Zustand eines Verkehrsnetzes betreffenden Daten; Verkehrszentrale |
| DE19754483 | 1997-11-27 | ||
| PCT/DE1997/002869 WO1998027525A1 (de) | 1996-12-16 | 1997-12-01 | Verfahren zur vervollständigung und/oder verifizierung von den zustand eines verkehrsnetzes betreffenden daten; verkehrszentrale |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP0944890A1 EP0944890A1 (de) | 1999-09-29 |
| EP0944890B1 true EP0944890B1 (de) | 2004-10-13 |
Family
ID=26032620
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP97953622A Expired - Lifetime EP0944890B1 (de) | 1996-12-16 | 1997-12-01 | Verfahren zur vervollständigung und/oder verifizierung von den zustand eines verkehrsnetzes betreffenden daten; verkehrszentrale |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US6236932B1 (de) |
| EP (1) | EP0944890B1 (de) |
| AT (1) | ATE279765T1 (de) |
| ES (1) | ES2226009T3 (de) |
| WO (1) | WO1998027525A1 (de) |
Families Citing this family (35)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19914041A1 (de) * | 1999-03-27 | 2000-09-28 | Bosch Gmbh Robert | Verfahren zur Information von Autofahrern |
| DE19935769C2 (de) * | 1999-07-23 | 2002-02-07 | Ddg Ges Fuer Verkehrsdaten Mbh | Verkehrszustandsprognose durch rückgekoppelte Zustandskaskade |
| US6615130B2 (en) * | 2000-03-17 | 2003-09-02 | Makor Issues And Rights Ltd. | Real time vehicle guidance and traffic forecasting system |
| US6480783B1 (en) | 2000-03-17 | 2002-11-12 | Makor Issues And Rights Ltd. | Real time vehicle guidance and forecasting system under traffic jam conditions |
| DE10036789A1 (de) | 2000-07-28 | 2002-02-07 | Daimler Chrysler Ag | Verfahren zur Bestimmung des Verkehrszustands in einem Verkehrsnetz mit effektiven Engstellen |
| US6587781B2 (en) * | 2000-08-28 | 2003-07-01 | Estimotion, Inc. | Method and system for modeling and processing vehicular traffic data and information and applying thereof |
| FR2823588B1 (fr) * | 2001-04-13 | 2003-07-25 | Regie Autonome Transports | Procede et systeme de determination de conditions de circulation habituelles et procede et systeme d'indication de conditions de circulation inhabituelles |
| US7433889B1 (en) | 2002-08-07 | 2008-10-07 | Navteq North America, Llc | Method and system for obtaining traffic sign data using navigation systems |
| US7499949B2 (en) * | 2002-08-07 | 2009-03-03 | Navteq North America, Llc | Method and system for obtaining recurring delay data using navigation systems |
| CA2496870C (en) * | 2002-08-29 | 2016-06-07 | Itis Holdings Plc | Apparatus and method for providing traffic information |
| US7620402B2 (en) * | 2004-07-09 | 2009-11-17 | Itis Uk Limited | System and method for geographically locating a mobile device |
| CN101022994B (zh) * | 2004-08-30 | 2012-07-04 | 洛德公司 | 直升飞机振动控制系统和消除振动的旋转力发生器 |
| US7908080B2 (en) | 2004-12-31 | 2011-03-15 | Google Inc. | Transportation routing |
| US7885758B2 (en) * | 2005-06-30 | 2011-02-08 | Marvell World Trade Ltd. | GPS-based traffic monitoring system |
| US9047765B2 (en) * | 2005-06-30 | 2015-06-02 | Marvell World Trade Ltd. | GPS-based traffic monitoring system |
| EP1742191B1 (de) * | 2005-06-30 | 2011-07-06 | Marvell World Trade Ltd. | Verkehrsüberwachungssystem auf GPS-Basis |
| US20070005228A1 (en) * | 2005-06-30 | 2007-01-04 | Sehat Sutardja | GPS-based traffic monitoring system |
| US7610151B2 (en) * | 2006-06-27 | 2009-10-27 | Microsoft Corporation | Collaborative route planning for generating personalized and context-sensitive routing recommendations |
| US8793066B2 (en) | 2006-06-27 | 2014-07-29 | Microsoft Corporation | Route monetization |
| US7706964B2 (en) * | 2006-06-30 | 2010-04-27 | Microsoft Corporation | Inferring road speeds for context-sensitive routing |
| US8126641B2 (en) * | 2006-06-30 | 2012-02-28 | Microsoft Corporation | Route planning with contingencies |
| US7739040B2 (en) * | 2006-06-30 | 2010-06-15 | Microsoft Corporation | Computation of travel routes, durations, and plans over multiple contexts |
| US7617042B2 (en) | 2006-06-30 | 2009-11-10 | Microsoft Corporation | Computing and harnessing inferences about the timing, duration, and nature of motion and cessation of motion with applications to mobile computing and communications |
| US7869936B2 (en) * | 2006-07-11 | 2011-01-11 | International Business Machines Corporation | Routing method and system |
| EP2070053A2 (de) * | 2006-09-12 | 2009-06-17 | Itis Holdings PLC | Vorrichtung und verfahren zum implementieren eines strassenpreisgebungsschemas |
| US20090157540A1 (en) * | 2007-12-14 | 2009-06-18 | Microsoft Corporation | Destination auctioned through business of interest |
| US20090157498A1 (en) * | 2007-12-14 | 2009-06-18 | Microsoft Corporation | Generational intelligent navigation synchronization or update |
| US20090210242A1 (en) * | 2008-02-19 | 2009-08-20 | Microsoft Corporation | Load balance payment |
| US20090210302A1 (en) * | 2008-02-19 | 2009-08-20 | Microsoft Corporation | Route reward augmentation |
| US20090210142A1 (en) * | 2008-02-19 | 2009-08-20 | Microsoft Corporation | Safe route configuration |
| US8718928B2 (en) * | 2008-04-23 | 2014-05-06 | Verizon Patent And Licensing Inc. | Traffic monitoring systems and methods |
| GB0901588D0 (en) | 2009-02-02 | 2009-03-11 | Itis Holdings Plc | Apparatus and methods for providing journey information |
| GB2492369B (en) | 2011-06-29 | 2014-04-02 | Itis Holdings Plc | Method and system for collecting traffic data |
| CN103093625B (zh) * | 2013-01-09 | 2015-01-14 | 杭州师范大学 | 一种基于可信度验证的城市道路交通状态实时估计方法 |
| CN108492560A (zh) * | 2018-04-04 | 2018-09-04 | 东南大学 | 一种道路检测器缺失数据补全方法及装置 |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5289183A (en) * | 1992-06-19 | 1994-02-22 | At/Comm Incorporated | Traffic monitoring and management method and apparatus |
| JP3414843B2 (ja) * | 1993-06-22 | 2003-06-09 | 三菱電機株式会社 | 交通手段制御装置 |
| US5696503A (en) * | 1993-07-23 | 1997-12-09 | Condition Monitoring Systems, Inc. | Wide area traffic surveillance using a multisensor tracking system |
| US5539645A (en) * | 1993-11-19 | 1996-07-23 | Philips Electronics North America Corporation | Traffic monitoring system with reduced communications requirements |
| DE4408547A1 (de) * | 1994-03-14 | 1995-10-12 | Siemens Ag | Verfahren zur Verkehrserfassung und Verkehrssituationserkennung auf Autostraßen, vorzugsweise Autobahnen |
| DE19604083B4 (de) * | 1995-03-23 | 2006-06-29 | T-Mobile Deutschland Gmbh | Verfahren zur Parametrisierung von Fahrzeugrouten in Fahrzeugleit- und/oder Informationssystemen |
| DE59602517D1 (de) * | 1995-04-28 | 1999-09-02 | Inform Inst Operations Res & M | Verfahren zur Störungserkennung im Strassenverkehr |
| DE19526148C2 (de) * | 1995-07-07 | 1997-06-05 | Mannesmann Ag | Verfahren und System zur Prognose von Verkehrsströmen |
| WO1997029471A1 (de) * | 1996-02-08 | 1997-08-14 | Mannesmann Ag | Verfahren und einrichtung zur erfassung von daten über die verkehrslage |
| JP3435623B2 (ja) * | 1996-05-15 | 2003-08-11 | 株式会社日立製作所 | 交通流監視装置 |
-
1997
- 1997-12-01 AT AT97953622T patent/ATE279765T1/de not_active IP Right Cessation
- 1997-12-01 US US09/331,102 patent/US6236932B1/en not_active Expired - Lifetime
- 1997-12-01 ES ES97953622T patent/ES2226009T3/es not_active Expired - Lifetime
- 1997-12-01 EP EP97953622A patent/EP0944890B1/de not_active Expired - Lifetime
- 1997-12-01 WO PCT/DE1997/002869 patent/WO1998027525A1/de not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| ATE279765T1 (de) | 2004-10-15 |
| EP0944890A1 (de) | 1999-09-29 |
| ES2226009T3 (es) | 2005-03-16 |
| US6236932B1 (en) | 2001-05-22 |
| WO1998027525A1 (de) | 1998-06-25 |
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