EP0944890B1 - Process for completing and/or verifying data concerning the state of a road network; traffic information centre - Google Patents
Process for completing and/or verifying data concerning the state of a road network; traffic information centre Download PDFInfo
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- 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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- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012795 verification Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims 1
- 238000005259 measurement Methods 0.000 abstract description 36
- 238000013524 data verification Methods 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 239000000872 buffer Substances 0.000 description 2
- 230000002123 temporal effect Effects 0.000 description 2
- 238000006440 Grob fragmentation reaction Methods 0.000 description 1
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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
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- 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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Abstract
Description
Die Erfindung betrifft ein Verfahren zur Vervollständigung und/oder Verifizierung von den Zustand eines Verkehrsnetzes betreffenden Daten.The invention relates to a method for completing and / or verifying data relating to the state of a traffic network.
Eine Verkehrszentrale generiert den aktuellen Zustand oder einen künftigen Zustand des Verkehrsnetzes betreffende Verkehrsmeldungen aufgrund von von stationären Detektoren an bestimmten Positionen im Verkehrsnetz gemessenen Meßdaten (insbesondere mittlere Geschwindigkeit, Fahrzeuganzahl, Fahrzeugdichte) und/oder aufgrund von von mobilen Detektoren (FCD) gemessenenen Meßdaten, insbesondere Fahrzeuggeschwindigkeiten. Die der Verkehrszentrale zur Verfügung stehenden Meßdaten sind jedoch bezüglich des Verkehrsnetzes nicht flächendeckend; von mobilen Detektoren in Kraftfahrzeugen gemessene Meßdaten liegen dort nicht vor, wo sich keine Kraftfahrzeuge mit mobilen Detektoren befinden. Meßdaten von stationären Detektoren liegen nur dort vor, wo sich stationäre Detektoren befinden, in Betrieb sind und gerade Meßdaten übermittelt haben, wobei die Übermittlung von Meßdaten zum Beispiel bei mit Solarenergie betriebenen Detektoren nur in relativ großen Zeitabständen erfolgen kann. Aufgrund der hinsichtlich der Flächendeckung vorliegenden Unvollständigkeit ist die Verifizierung hinsichtlich Fehlern erschwert und die Qualität der erstellten Verkehrsmeldungen suboptimal.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. Those available to the traffic control center However, 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.
Aufgabe der vorliegenden Erfindung ist eine möglichst einfache, kostengünstige, effiziente Optimierung der Generierung einer Verkehrsmeldung betreffend einen aktuellen oder einen künftigen Zustand des Verkehrsnetzes. Die Aufgabe wird durch die Gegenstände der unabhängigen Ansprüche gelöst. 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.
Durch die erfindungsgemäße Verwendung von drei verschiedenen Arten von Daten zur Vervollständigung und/oder Verifizierung wird die Verkehrszustandsanalyse und/oder Prognose in einer Verkehrszentrale optimiert. Dabei erfolgt eine mehrfache Rückkopplung von Daten zur Vervollständigung und/oder Verifizierung von Daten. Die Art der Rückkopplung hängt jeweils von der Art der rückgekoppelten Daten ab.By using three different types of data according to the invention the traffic condition analysis is used to complete and / or verify and / or forecast optimized in a traffic control center. There is a multiple Feedback of data to complete and / or verify data. The The type of feedback depends on the type of data being fed back.
Zweckmäßig ist vor allem eine zyklische Rückkopplung von Ganglinien, also verdichteten historischen Daten; eine Ganglinie ist beispielsweise der Verkehrsdichte-Verlauf an Montagen etc.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.
Eine direkte Rückkopplung ist vor allem bei der interpolation oder Berücksichtigung von Bewegungen von Fahrzeugen im System von Bedeutung, wobei diese Modellkomponente nach jedem Zeitschritt prüfen kann, ob eine aufgrund von Daten eines Sensors gemachte Annahme über einen Verkehrszustand stromabwärts im Verkehr mit dort eintreffenden Daten konsistent ist.A direct feedback is especially important when it comes to interpolation or consideration of movements of vehicles in the system of importance, these 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.
Zur Rückkopplung von aus Meßdaten abgeleiteten Zustandsdaten zu vergangenen Zeitpunkten und/oder von zu vergangenen Zeitpunkten erstellten Prognosedaten zur Vervollständigung und/oder Verifizierung von Meßdaten kann, wenn die Zustandsdaten oder Prognosedaten andere (insbesondere abgeleitete) Größen des Verkehrsnetzes betreffen, mit einer Berücksichtigung von Zusammenhängen von abgeleiteten Größen und von Meßdaten betreffenden Größen erfolgen. Neben einer Vervollständigung und Verifizierung von Meßdaten ist auch eine Vervollständigung und/oder Verifizierung insbesondere von den aktuellen Zustand eines Verkehrsnetzes betreffenden Zustandsdaten möglich. Dabei kann eine Rückkopplung von vergangene Zeitpunkte betreffenden Zustandsdaten und von zu vergangenen Zeitpunkten berechneten Prognosedaten zur Vervollständigung und/oder Verifizierung von den aktuellen Zustand betreffenden Zustandsdaten indirekt durch Vervollständigung und/oder Verifizierung von Meßdaten oder/und durch zumindest teilweises Durchreichen von in eine Basiskomponente mit Meßdaten rückgekoppelten Zustandsdaten und/oder Prognosedaten in eine zur Zustandsdatenberechnung vorgesehene Modellkomponente erfolgen. Auch in einer Prognosekomponente der Verkehrszentrale erstellte Prognosen über den Zustand eines Verkehrsnetzes zu einem zukünftigen Zeitpunkt werden hiermit optimiert, wenn sie aufgrund von vervollständigten und/oder verifizierten Meßdaten und/oder aufgrund vervollständigten und/oder verifizierten Zustandsdaten erfolgen.For the feedback of status data derived from measurement data to the past Points in time and / or forecast data created at past points in time 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. In addition to one 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. A feedback of State data relating to past times and from previous ones 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.
Dabei kann die Berechnung des aktuellen Zustandes eines Verkehrsnetzes aus bis zum aktuellen Zeitpunkt gemessenen Meßdaten und aus einem oder mehreren Verkehrszuständen des Verkehrsnetzes zu vergangenen Zeitpunkten erfolgen. Hierbei können unterschiedliche Verfahrenskomponenten alternativ oder nebeneinander zur Verifizierung und/oder weiteren Vervollständigung unter Verwendung der evtl. vervollständigten bzw. verifizierten Meßdaten eingesetzt werden. Zweckmäßig ist insbesondere ein Flußmodell und/oder Fuzzy-Logic und/oder ein Störverhaltendetektions- und/oder ein Domänenmodell-Teilverfahren zur Bestimmung des aktuellen Zustandes des Verkehrsnetzes. Zur Erstellung einer einen künftigen Zeitpunkt betreffenden Prognose können bisherige Zustände und/oder den aktuellen Zustand betreffende, evtl. vervollständigte bzw. verifizierte Zustandsdaten und/oder bisher gemessene, zusätzlich oder stattdessen vervollständigte bzw. verifizierte Meßdaten (welche von der Modellkomponente wie von einem Multiplexer an die Prognosenkomponente durchgereicht werden können) verwendet werden.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. To create a one 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.
Zur Vervollständigung und/oder Verifizierung werden zweckmäßig Zustände und/oder Meßdaten des Verkehrsnetzes zu vergangenen Zeitpunkten betreffende statistische Daten einer historischen Datenbank verwendet. Dabei wird die historische Datenbank, welche der Basiskomponente in einer Verkehrszentrale zugeordnet sein kann, laufend in der Verkehrszentrale mit Meßdaten und/oder Zustandsdaten aktualisiert. Die historische Datenbank kann insbesondere zeitliche Verläufe von Meßdaten und/oder Zuständen betreffende Gangliniendaten für die Vervollständigung und/oder Verifizierung enthalten; derartige Gangliniendaten können insbesondere zeitliche Verläufe von Meßdaten und/oder Zuständen jeweils im Verlauf eines Wochentages enthalten; evtl. können auch Schwankungen im Laufe eines Jahres abgespeichert sein.For completion and / or verification, 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.
Ein Programm zur Durchführung des erfindungsgemäßen Verfahrens kann in einer Verkehrszentrale realisiert werden. A program for carrying out the method according to the invention can be carried out in a Traffic center can be realized.
Weitere Merkmale und Vorteile der Erfindung ergeben sich aus der nachfolgenden Beschreibung eines Ausführungsbeispieles anhand der Zeichnung. Dabei zeigt:
- 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.
- Fig. 1
- schematically vehicles traveling on a street with mobile detectors, stationary detectors on the street and a traffic control center,
- Fig. 2
- As a rough block diagram of a traffic control center, incoming, fed back, further processed and output data and components of the traffic control center.
In Fig. 1 fahren auf einer Straße 1 (beispielsweise der Autobahn A8) Fahrzeuge 2, 3
mit Detektoren 4, 5 und Fahrzeuge 6, 7, 8 ohne Detektoren. Die Detektoren 4, 5 in
Fahrzeugen bestimmen zum Beispiel ihre Fahrzeugpositionen mit GPS sowie ihre
Geschwindigkeiten etc. und melden diese als Meßdaten 12 an die Verkehrszentrale 9.
Ferner befinden sich an festen Positionen im Verkehrsnetz angeordnete, stationäre
Detektoren 10, 11; diese 10, 11 messen beispielsweise die Anzahl der sie
passierenden Fahrzeuge, deren Geschwindigkeiten etc. und melden als Meßdaten 13
an die Zentrale 9 zum Beispiel mittlere Fahrzeuggeschwindigkeiten,
Geschwindigkeitsvarianzen, die Anzahl von Fahrzeugen pro Zeiteinheit etc. Die
Verkehrszentrale 9 erstellt aufgrund von Meßdaten 12, 13 den aktuellen Zustand
eines Verkehrsnetzes betreffende Verkehrsmeldungen wie aktuelle Staumeldungen,
aktuelle Reisezeitenmeldungen sowie Verkehrprognosen für künftige Zeitpunkte, wie
beispielsweise zu erwartende Staus etc. und sendet (14)
Verkehrszustandsmeldungen und Verkehrsprognosemeldungen über Radio, Funk,
Mobilfunk etc. an Teilnehmer aus.1,
Jedoch sind Meßdaten 12, 13 nicht flächendeckend bezüglich des Verkehrsnetzes,
da Meßdaten von mobilen Detektoren in Fahrzeugen 2, 3 nur dort übermittelt werden,
wo sich gerade Fahrzeuge befinden und da Meßdaten 13 von stationären Detektoren
10, 11 nur dort ermittelt werden können, wo sich Detektoren befinden, in Betrieb sind
und gerade sendeten. However,
Fig. 2 verdeutlicht die erfindungsgemäße Verbesserung von Verkehrsmeldungen zum
aktuellen Verkehrszustand und/oder von Verkehrsprognosen durch mehrfache
Rückkopplung von Daten unterschiedlicher Art in der in Fig. 2 dargestellten
Verkehrszentrale 9.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
Die Verkehrszentrale 9 erhält als Eingangswerte laufend Meßdaten 12 (dargestellt
durch den Datencontainer) und Meßdaten 13 (dargestellt durch den Datencontainer
STD) von stationären Detektoren an einer Vielzahl von Orten im Verkehrsnetz.The
Die Meßdaten 12, 13 werden in der Programm- und Datenbankkomponente BAS 15
der Verkehrszentrale 9 laufend in einer historischen Datenbank mit Zeitbezug der
Meßdaten 12, 13 abgespeichert. Somit enthält BAS Meßdaten von vergangenen
Zeitpunkten bis kurz vor dem aktuellen Zeitpunkt. Femer kann BAS 15 Meßdaten 12,
13, die gerade gemessen wurden und/oder Meßdaten aus der historischen
Datenbank in 15 zu vergangenen Zeitpunkten als Multiplexer oder
Datenbankschnittstelle 15 an eine Modellkomponente 16 der Zentrale 9 oder/und an
dieser vorgeschaltete Komponenten 17 bis 20 zur Berechnung von
Verkehrszuständen weiterreichen. Die Modellkomponente 16 berechnet (17 bis 20)
aktuelle Verkehrszustände des Verkehrsnetzes an unterschiedlichen Orten des
Verkehrsnetzes. Zustände zu vergangenen Zeitpunkten betreffende Zustandsdaten
können in der Modellkomponente 16 oder in der Basiskomponente 15 gespeichert
sein. Den jeweils aktuellen Verkehrszustand betreffende Zustandsdaten 21 können
aus der Modellkomponente in die Basiskomponente 15 oder aus der
Modellkomponente über die Basiskomponente 15 in die Modellkomponente 16 (sofort
oder zeitverzögert über eine historische Datenbank) zur Vervollständigung und/oder
Verifizierung von Zustandsdaten und/oder Meßdaten rückgekoppelt 30 werden. Die
Rückkopplung von Meßdaten ist hier als zyklische Rückkopplung 30 zur
Basiskomponente 15 zur Vervollständigung von Meßdaten dargestellt. Ferner können
in der Modellkomponente 16 der Zentrale 9 Verkehrsmeldungen 23 zum aktuellen
Verkehrszustand des Verkehrsnetzes an einem oder mehreren Orten ausgesendet
(Fig. 1/24) werden. Ferner werden insbesondere die Zustandsdaten zumindest des
aktuellen Zeitpunktes, evtl. auch zu vergangenen Zeitpunkten und ggf. von einer
historischen Datenbank übergebene oder gemessene Meßdaten (welche von der
Basiskomponente übergeben werden) dazu verwendet werden, in der
Prognosekomponente 25 der Verkehrszentrale 9 eine Verkehrsprognose zum
Verkehrsnetz für mindestens einen künftigen Zeitpunkt zu erzeugen (26, 27, 28) und
als Verkehrsprognosedaten 29 auszugeben. Ferner werden zu einem vergangenen
Zeitpunkt für einen gegenüber diesem vergangenen Zeitpunkt in der Zukunft
liegenden Zeitpunkt erstellte Prognosedaten 29 von der Prognosekomponente 25
rückgekoppelt 22 zur Vervollständigung und/oder Verifizierung von Daten. Ferner ist
eine Weiterreichung der zu vergangenen Zeitpunkten erstellten Verkehrsprognosen,
welche somit zum Beispiel den aktuellen Zeitpunkt betreffen können, von der
Basiskomponente 15 an die Modellkomponente 16 möglich. Somit können
Prognosedaten 29 zur Vervollständigung und/oder Verifizierung von Meßdaten
und/oder von Zustandsdaten zum aktuellen Zeitpunkt verwendet werden.
Rückgekoppelte oder rückzukoppelnde Prognosedaten 29 können in der
Prognosekomponente 25 in einem nicht dargestellten Zwischenspeicher oder in der
Basiskomponente 15 in einer historischen Datenbank abgespeichert werden.The
Wenn Zustandsdaten 21 über die Basiskomponente 15 gemultiplext über einen nicht
dargestellten Puffer oder direkt in die Modellkomponente 16 rückgekoppelt werden,
kann dies als direkte Rückkopplung 31 bezeichnet werden.If
Die Rückkopplung von Prognosedaten und Zustandsdaten ermöglicht eine
Vervollständigung und/oder Verifizierung von Meßdaten und/oder von Zustandsdaten,
was sowohl Verkehrsmeldungen 23 wie auch Verkehrsprognosen 29 optimiert.The feedback of forecast data and status data enables one
Completion and / or verification of measurement data and / or status data,
which optimizes both
Die Erzeugung von Verkehrsprognosen 29 aufgrund von Zustandsdaten 21 zum
aktuellen und evtl. zu vergangenen Zeitpunkten in der Modellkomponente 16 sowie
evtl. zusätzlich von Meßdaten zum aktuellen oder zu vergangenen Zeitpunkten kann
mit unterschiedlichen Verfahren erfolgen. Insbesondere sind mikroskopische
Verfahren 26, mesoskopische 27 oder makroskopische 28 Verfahren zur Erstellung
von Verkehrsprognosen geeignet. Ggf. können auch mehrere der Verfahren 26 bis 28
nebeneinander ablaufen und die gewonnenen Prognosedaten vervollständigt
und/oder verifiziert werden.The generation of traffic forecasts 29 on the basis of
Claims (7)
- Method for completing and/or verifying data (12, 13; 21) relating to the status of a road network (1) at a traffic control centre (9), in which data of the following types are used to complete the data recorded up until the current moment by fixed or mobile detectors:a) compressed historical data (15),b) status data (21) calculated for at least one moment prior to the current moment and relating to the status of the road network (1) at that moment, andc) forecast data (29) calculated at a moment in the past, and relating to a moment in the future in relation to this past moment,
in which data of types a) to c) are fed back from the traffic status analysis to the measured data (12, 13), in whichthe compressed historical data (1) are fed back at regular intervals, andduring the feedback process of status data (b) relating to moments in the past, and of forecast data (c) calculated at moments in the past, there is at least a partial passing through of status data which have been fed back into a base component with measured data, or of forecast data, into the model component provided for the calculation of status data,
andthe model component checks, after every time step, whether an assumption about a traffic status downstream in the traffic, made on the basis of data from a detector (sensor), is consistent with data which are coming in at that location. - Method as in Claim 1,
characterised in that
time progressions of measured data (12, 13) and/or of time variation curve data relating to statuses are saved in the historical database and are used to complete and/or verify measured data and/or status data. - Method as in one of the preceding Claims,
characterised in that
measured data relating to at least one moment in the past are verified and/or completed. - Method as in one of the preceding Claims,
characterised in that
a completion and/or verification is carried out of status data relating to the status of the road network at a moment in the past. - Traffic control centre (9) with a memory facility, with a program held in the memory for implementing the method as in one of the preceding Claims, with a memory for data (12, 13, 21, 29), with a processor for processing the program, and with a communication device for the entering of measured data (12, 13).
- Traffic control centre (9) as in Claim 5,
characterised in that
it has a mobile telephony device for receiving measured data. - Traffic control centre as in Claim 5 or 6,
characterised in that
it has a transmitter or an interface with a transmitter for the issuing of traffic reports (23) and/or traffic forecasts (29).
Applications Claiming Priority (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE19653689 | 1996-12-16 | ||
DE1965368 | 1996-12-16 | ||
DE19653689 | 1996-12-16 | ||
DE19754483 | 1997-11-27 | ||
DE19754483A DE19754483A1 (en) | 1996-12-16 | 1997-11-27 | Method for completing and / or verifying data relating to the state of a traffic network; Traffic control center |
DE1975448 | 1997-11-27 | ||
PCT/DE1997/002869 WO1998027525A1 (en) | 1996-12-16 | 1997-12-01 | Process for completing and/or verifying data concerning the state of a road network; traffic information centre |
Publications (2)
Publication Number | Publication Date |
---|---|
EP0944890A1 EP0944890A1 (en) | 1999-09-29 |
EP0944890B1 true EP0944890B1 (en) | 2004-10-13 |
Family
ID=26032620
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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EP97953622A Expired - Lifetime EP0944890B1 (en) | 1996-12-16 | 1997-12-01 | Process for completing and/or verifying data concerning the state of a road network; traffic information centre |
Country Status (5)
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US (1) | US6236932B1 (en) |
EP (1) | EP0944890B1 (en) |
AT (1) | ATE279765T1 (en) |
ES (1) | ES2226009T3 (en) |
WO (1) | WO1998027525A1 (en) |
Families Citing this family (35)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19914041A1 (en) * | 1999-03-27 | 2000-09-28 | Bosch Gmbh Robert | Procedure for informing motorists |
DE19935769C2 (en) * | 1999-07-23 | 2002-02-07 | Ddg Ges Fuer Verkehrsdaten Mbh | Traffic condition forecast through feedback cascade |
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 (en) | 2000-07-28 | 2002-02-07 | Daimler Chrysler Ag | Method for determining the traffic condition in a traffic network with effective bottlenecks |
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 (en) * | 2001-04-13 | 2003-07-25 | Regie Autonome Transports | METHOD AND SYSTEM FOR DETERMINING USUAL TRAFFIC CONDITIONS AND METHOD AND SYSTEM FOR INDICATING UNUSUAL TRAFFIC CONDITIONS |
US7499949B2 (en) * | 2002-08-07 | 2009-03-03 | Navteq North America, Llc | Method and system for obtaining recurring delay data using navigation systems |
US7433889B1 (en) | 2002-08-07 | 2008-10-07 | Navteq North America, Llc | Method and system for obtaining traffic sign data using navigation systems |
AU2003259357B2 (en) * | 2002-08-29 | 2009-08-13 | Inrix Uk Limited | 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 |
WO2006135405A2 (en) * | 2004-08-30 | 2006-12-21 | Lord Corporation | Helicopter vibration control system and rotary force generator for canceling vibrations |
US7908080B2 (en) | 2004-12-31 | 2011-03-15 | Google Inc. | Transportation routing |
US20070005228A1 (en) * | 2005-06-30 | 2007-01-04 | Sehat Sutardja | GPS-based traffic monitoring system |
EP1742191B1 (en) * | 2005-06-30 | 2011-07-06 | 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 |
US7885758B2 (en) * | 2005-06-30 | 2011-02-08 | Marvell World Trade Ltd. | GPS-based traffic monitoring system |
US8793066B2 (en) | 2006-06-27 | 2014-07-29 | Microsoft Corporation | Route monetization |
US7610151B2 (en) | 2006-06-27 | 2009-10-27 | Microsoft Corporation | Collaborative route planning for generating personalized and context-sensitive routing recommendations |
US8126641B2 (en) * | 2006-06-30 | 2012-02-28 | Microsoft Corporation | Route planning with contingencies |
US7706964B2 (en) * | 2006-06-30 | 2010-04-27 | Microsoft Corporation | Inferring road speeds for context-sensitive routing |
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 |
US7739040B2 (en) * | 2006-06-30 | 2010-06-15 | Microsoft Corporation | Computation of travel routes, durations, and plans over multiple contexts |
US7869936B2 (en) * | 2006-07-11 | 2011-01-11 | International Business Machines Corporation | Routing method and system |
WO2008032075A2 (en) * | 2006-09-12 | 2008-03-20 | Itis Holdings Plc | Apparatus and method for implementing a road pricing scheme |
US20090157498A1 (en) * | 2007-12-14 | 2009-06-18 | Microsoft Corporation | Generational intelligent navigation synchronization or update |
US20090157540A1 (en) * | 2007-12-14 | 2009-06-18 | Microsoft Corporation | Destination auctioned through business of interest |
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 (en) * | 2013-01-09 | 2015-01-14 | 杭州师范大学 | City road traffic condition real-time estimation method based on reliability verification |
CN108492560A (en) * | 2018-04-04 | 2018-09-04 | 东南大学 | A kind of Road Detection device missing data complementing method and device |
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 (en) * | 1993-06-22 | 2003-06-09 | 三菱電機株式会社 | Transportation control device |
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 (en) * | 1994-03-14 | 1995-10-12 | Siemens Ag | Process for traffic detection and traffic situation detection on highways, preferably motorways |
DE19604084A1 (en) * | 1995-03-23 | 1996-10-02 | Deutsche Telekom Mobil | Method and device for determining dynamic traffic information |
ATE182709T1 (en) * | 1995-04-28 | 1999-08-15 | Inform Inst Operations Res & M | METHOD FOR DETECTING TROUBLE IN ROAD TRAFFIC |
DE19526148C2 (en) * | 1995-07-07 | 1997-06-05 | Mannesmann Ag | Method and system for forecasting traffic flows |
JP2000504860A (en) * | 1996-02-08 | 2000-04-18 | マンネスマン・アクチエンゲゼルシャフト | Method and apparatus for collecting data on traffic conditions |
JP3435623B2 (en) * | 1996-05-15 | 2003-08-11 | 株式会社日立製作所 | Traffic flow monitoring device |
-
1997
- 1997-12-01 US US09/331,102 patent/US6236932B1/en not_active Expired - Lifetime
- 1997-12-01 ES ES97953622T patent/ES2226009T3/en not_active Expired - Lifetime
- 1997-12-01 WO PCT/DE1997/002869 patent/WO1998027525A1/en active IP Right Grant
- 1997-12-01 AT AT97953622T patent/ATE279765T1/en not_active IP Right Cessation
- 1997-12-01 EP EP97953622A patent/EP0944890B1/en not_active Expired - Lifetime
Also Published As
Publication number | Publication date |
---|---|
WO1998027525A1 (en) | 1998-06-25 |
ATE279765T1 (en) | 2004-10-15 |
US6236932B1 (en) | 2001-05-22 |
EP0944890A1 (en) | 1999-09-29 |
ES2226009T3 (en) | 2005-03-16 |
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