EP0755039B1 - Method and system for the prognosis of traffic flow - Google Patents

Method and system for the prognosis of traffic flow Download PDF

Info

Publication number
EP0755039B1
EP0755039B1 EP96250138A EP96250138A EP0755039B1 EP 0755039 B1 EP0755039 B1 EP 0755039B1 EP 96250138 A EP96250138 A EP 96250138A EP 96250138 A EP96250138 A EP 96250138A EP 0755039 B1 EP0755039 B1 EP 0755039B1
Authority
EP
European Patent Office
Prior art keywords
traffic
data
vehicles
computer
route
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.)
Expired - Lifetime
Application number
EP96250138A
Other languages
German (de)
French (fr)
Other versions
EP0755039A3 (en
EP0755039A2 (en
Inventor
Uwe Dr. Rer. Nat. Albrecht
Josef Dipl.-Ing. Heimann
Werner Dr. Rer. Nat. Schulz
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.)
Vodafone Holding GmbH
Original Assignee
Vodafone GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Vodafone GmbH filed Critical Vodafone GmbH
Publication of EP0755039A2 publication Critical patent/EP0755039A2/en
Publication of EP0755039A3 publication Critical patent/EP0755039A3/xx
Application granted granted Critical
Publication of EP0755039B1 publication Critical patent/EP0755039B1/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096708Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
    • G08G1/096716Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information does not generate an automatic action on the vehicle control
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096733Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
    • G08G1/096741Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096775Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station

Definitions

  • the invention relates to a method and system for predicting traffic flows selected locations or sections of a road network, in particular for Traffic control and route guidance of vehicles, with the determined traffic flow data, which contain at least traffic density information from a traffic computer that has a digital road map for forecasting the expected traffic flows can be used.
  • WO 89/02142 describes a system for optimal use of a road network known that at selected locations or route sections over at least one Recording sensor has the traffic condition, in particular the traffic density, detected.
  • the traffic status data is then sent to a control center, which is a Traffic calculator can be transmitted.
  • the processing and processing takes place in the control center
  • Preparation of the traffic condition data, which is then used for direct Traffic control can be used, for example, by direct information from the Car driver; the traffic control is based on a target-actual comparison the traffic condition data from selected locations or sections of route.
  • the Target values correspond, for example, to the optimal traffic condition on the corresponding section of the road network.
  • To better capture the Traffic flows become the traffic status data determined at different locations two measuring points e.g. subjected to a correlation analysis to get from it Statements etc. to get about the traffic flows.
  • the invention provides that vehicles of a sample vehicle fleet each have their Determine and save current location position depending on time and / or route, so that the determined location positions as route data of the route traveled are available for an evaluation. At least part of the vehicles of the For this purpose, the sample vehicle fleet transmits the route data to you at intervals Traffic computer.
  • the traffic computer determines from the currently recorded Route data, traffic flows and their composition, i.e. the Partial flows, which essentially make up the traffic flows, and assigns them to the selected locations or route sections. simultaneously serve the determined traffic flows and their composition for the determination and / or updating statistical traffic flow data from the traffic computer as time-dependent empirical values for the forecast of traffic flows be used.
  • Driving activity data in a predetermined larger spatial area around the selected locations or sections of the route are recorded and sent to the traffic computer transmitted so that the traffic computer based on the driving activity data
  • current driving activity data data can also be used, which is not in any case already represent actual driving activity, but only on an immediate one indicate upcoming driving activity (e.g. readiness display of a Mobile phones in a vehicle that is just starting).
  • the traffic computer not only has a large number of vehicles Traffic flow data at certain times, but also about information about which traffic flows make up this traffic flow data.
  • the Route data transmitted by the vehicles of the sample vehicle fleet contain information on the one hand, for example about the relative traffic density individual locations or sections of the route, but also information about which traffic flows cause this traffic density proportionately. That's the way it is possible, for example from the number of active motor vehicles in one predetermined larger spatial area around the selected locations or Route sections around that can be expected in the short or long term Traffic flows safely at the selected locations or sections of route predict.
  • the route data are transmitted in a reduced form by redundant data are removed, for example when driving along a straight road or highway are included in the route data.
  • the Transmission is conveniently via a radio telephone.
  • Statistical traffic flow data is determined and / or updated Parameter-dependent if the traffic flows are forecast with greater certainty Need to become. For example, the traffic flow data becomes dependent determined and / or updated from the day of the week and the time of day.
  • the current driving activity data expediently comprise the operating state of vehicles equipped with a driving activity sensor.
  • the driving activity data is proposed by the invention Query and evaluate the activity of mobile phone networks.
  • the ready display can be used when starting the vehicle. In this case there is no need to install special driving activity sensors.
  • the size of the spatial area in which the imminent or Driving activities that are already running are expediently recorded in Depending on the population density.
  • a system for performing the method has vehicles Sample vehicle fleet, each with means for determining the current Location position, for storing at least the route data and for transmission of data to a receiving unit fixedly arranged outside the vehicles exhibit.
  • the driving activities are arranged by spatially distributed Driving activity sensors detected, which in turn have means for transmitting the recorded driving activity data to the fixedly arranged receiving unit.
  • the system includes a traffic computer, a digital road map, a has electronic memory for storing empirical values and with the Receiving unit for receiving the vehicles from the sample vehicle fleet and data is transmitted to the driving activity sensors.
  • the current position is expediently determined by a Receiver for signals from navigation satellite systems (e.g. GPS), since this is small in structure and the location is technically relative with sufficient accuracy can be easily determined.
  • navigation satellite systems e.g. GPS
  • the traffic computer Sending unit for sending requests to the driving activity sensors, so that the driving activity sensors via a receiving unit also provided can be controlled from the traffic computer. That way the traffic computer the possibility to collect the driving activity data if necessary.
  • the vehicles of the sample vehicle fleet also a receiving unit for receiving requests from the Show traffic calculator.
  • the driving activity sensors are installed in as many vehicles as possible and that the driving activity data in anonymous form, for example at the start of the vehicle are transmitted to the traffic computer.
  • the driving activity sensors are also installed in vehicles that are not for example Sample vehicle fleet belong. But it is also conceivable that the Driving activity sensors e.g. stuck in the pavement of back streets within of a residential area are installed to record the number of active vehicles that with a certain probability staggered to the corresponding Traffic flows contribute to the selected locations or sections of the route.
  • the vehicles also expediently have a sensor for detecting the current vehicle speed, the traffic flows can then be more accurate determined and linked directly to the vehicle density.
  • the system for carrying out the procedure for forecasting traffic flows essentially comprises three subsystems: a sample vehicle fleet 10, spatially distributed driving activity sensors 20, in particular in the vehicles 11 of the sample vehicle fleet 10 can be installed, and a traffic computer 30.
  • the spatially distributed driving activity sensors 20 can be act movable as well as stationary driving activity sensors 20. Is essential doing that driving activity sensors 20 spatially over a certain geographic Area are arranged in order to make the driving activities as "area-wide" as possible to capture.
  • the subsystems can be interconnected in terms of data technology.
  • the data connection to the traffic computer 30 are the vehicles 11 the sample vehicle fleet 10 each equipped with a transmitter Driving activity sensors 20 together with a transmitter form a device-related one Unit that automatically transmit driving activity data to the traffic computer 30 can.
  • Traffic activity data is the traffic computer 30 with a corresponding one Receiving unit 31 provided.
  • the receiving units of the Vehicles 11 of the sample vehicle fleet 10 and / or the driving activity sensors 20 be equipped with a receiving device. These receiving devices then enable the reception of requests from the traffic computer which the corresponding route and driving activity data with the corresponding Information needs, for example in difficult traffic situations on the corresponding sections of the route.
  • the means installed in the vehicles of the sample vehicle fleet 10 include a device for determining the current location and expediently also the current vehicle speed, a memory for storage at least the route data and the above-mentioned Sending device for Transmission of data to the fixed outside of the vehicles 11 Traffic calculator 30.
  • a device for determining the current location and expediently also the current vehicle speed a memory for storage at least the route data and the above-mentioned Sending device for Transmission of data to the fixed outside of the vehicles 11 Traffic calculator 30.
  • To determine the current location and the current one Vehicle speed can be, for example, a receiver for signals from Navigation satellite systems in the vehicles of the sample vehicle fleet 10 be provided.
  • the route is one in each of the vehicles 11 of the sample vehicle fleet 10 Storage unit provided, which is expedient in the sense of a ring storage system is organized and only the information over a limited period of time detected.
  • the storage of the receiver for signals from Navigation satellite systems determined location positions and data transmission to the traffic computer 30 from a microprocessor integrated in the vehicle controlled.
  • the transmitter unit installed in the vehicles 11 enables this Transmission of the route data to the traffic computer 30, the triggering the data transfer is carried out by the microprocessor.
  • Traffic computer 30 The one arranged outside the vehicles 11 of the sample vehicle fleet 10 Traffic computer 30 is connected directly to a receiving unit 31. About these The routes of the vehicles 11 of the sample vehicle fleet are connected 10 passed to the traffic computer 30. To store the routes is the Traffic computer 30 equipped with appropriate storage units. One in Traffic computer 30 provided digital road map enables the assignment of Driving routes to the corresponding road sections. Those from the routes derived empirical values regarding the traffic flows and their Composition at selected locations or sections of a route Road networks are in a special storage unit of the traffic computer 30 stored.
  • Driving activity sensors 20 can also be sensors that are not or not only record current driving activities of a vehicle, but such events capture that are related to upcoming driving activities. The upcoming driving activities can be done with a certain statistical Security related to the events captured.
  • Driving activity sensors 20 are cellular telephones whose activity is within of a cellular telephone network is recorded and evaluated in order to make a statement about receive upcoming or current driving activities.
  • they are "Driving activity sensors" not with a special transmission device for transmission equipped the activity data to the traffic computer 30, but that Cellular telephone network takes over the data transmission with its transmission units the traffic computer 30.
  • Starting point of the process for forecasting traffic flows at selected Locations or sections of a road network are independent determining vehicles 11 of a sample vehicle fleet 10 which are within a Move road network.
  • the movement of these vehicles 11 within the Road network takes place e.g. randomly and without special requirements.
  • a receiver for signals from navigation satellite systems are in Vehicle constantly the current position and the current vehicle speed determined and successively together in a storage unit stored.
  • These stored location positions represent the most important part of the Itinerary data, in particular the time of the respective Location determination can include. But it is also possible that the entire Route and thus the entire route data only one point in time or one Time period is assigned. There is a time assignment to the route data, if a time-dependent evaluation is planned.
  • the route data will be from the vehicles 11 of the sample vehicle fleet 10 by means of the transmission unit transmit the fixed reception unit 31 of the traffic computer 30.
  • the route data is transmitted time and / or route dependent, it can regularly or irregularly or on request.
  • the Receiving unit 31 transfers the route data to the traffic computer 30, the initially stores them in a memory or memory area provided for this purpose.
  • the route data are in each case the individual sections of the road network on the digital road map assigned.
  • the traffic computer 30 determines the essential partial flows (Partial traffic flows) and the resulting traffic densities at least relative to a selected location or section of a road network to each other, i.e. it is the percentage of a partial flow in the total Traffic flow at a selected location or section of a route Road network determined.
  • These traffic flow conditions are determined using the empirical values available in the memory, i.e. with the experience at taking into account the same time of a corresponding weekday special boundary conditions, compared and modified.
  • a special one Boundary condition would be, for example, the start of school holidays on that day in a particular state and the like.
  • the modification can e.g.
  • the Evaluation is carried out by starting from the determined driving activity data, i.e. the driving activities, resulting from this with a certain statistical probability resulting partial flows (partial traffic flows) are derived. Again, this can based on empirical values stored in the memory.
  • the forecast of traffic flows at selected locations or sections of route of a road network is then carried out using the from the driving activity data derived partial flows (partial traffic flows) based on the determined traffic flow conditions, essentially by extrapolating the locations or Traffic flow data assigned to route sections (traffic flow conditions) taking into account empirical values that are particularly time-dependent can. Based on the forecast traffic flows, suitable ones can then be found Measures to influence traffic or route guidance of vehicles take place.
  • the method according to the invention mainly provides the traffic flow conditions at selected locations or sections of a road network; investigating the absolute traffic densities, as a rule, must pass through if required additional procedures are carried out.
  • This determination of the absolute traffic density can but based on empirical values. It is also possible to some Distribute traffic density sensors in the road network and thus the traffic flow conditions to calibrate, i.e. selected locations or sections of route absolute Traffic densities based on the specific traffic flow conditions assigned.

Abstract

The sampling system has a number of vehicle activity sensors Ä20Ü that are distributed over a wide geographical range and can be in mobile or fixed installations. These sensors communicate with the receivers Ä31Ü of a traffic condition computer Ä30Ü. The computer is in communication with a number of vehicles Ä11Ü that are to be directed through the road system. The random sampling of the traffic conditions allows a prediction to be made of conditions and allows suitable routes to be established.

Description

Die Erfindung betrifft ein Verfahren und System zur Prognose von Verkehrsströmen an ausgewählten Orten oder Streckenabschnitten eines Straßennetzes, insbesondere zur Verkehrslenkung und Zielführung von Fahrzeugen, bei dem ermittelte Verkehrsstromdaten, die Informationen mindestens über die Verkehrsdichte enthalten, von einem Verkehrsrechner, der eine digitale Straßenkarte aufweist, zur Prognose der zu erwartenden Verkehrsströme herangezogen werden.The invention relates to a method and system for predicting traffic flows selected locations or sections of a road network, in particular for Traffic control and route guidance of vehicles, with the determined traffic flow data, which contain at least traffic density information from a traffic computer that has a digital road map for forecasting the expected traffic flows can be used.

Aus der WO 89/02142 ist ein System zur optimalen Nutzung eines Straßennetzes bekannt, das an ausgewählten Orten oder Streckenabschnitten über mindestens einen Aufnahmesensor verfügt, der den Verkehrszustand, insbesondere die Verkehrsdichte, erfaßt. Die Verkehrszustandsdaten werden anschließend an eine Leitstelle, welche ein Verkehrsrechner sein kann, übertragen. In der Leitstelle erfolgt die Verarbeitung und Aufbereitung der Verkehrszustandsdaten, die anschließend zur direkten Verkehrslenkung verwendet werden, beispielsweise durch direkte Information des Autofahrers; die Verkehrslenkung erfolgt auf der Grundlage eines Soll-Ist-Vergleichs der Verkehrszustandsdaten von ausgewählten Orten oder Streckenabschnitten. Die Soll-Werte entsprechen dabei beispielsweise dem optimalen Verkehrszustand auf dem entsprechenden Streckenabschnitt des Straßennetzes. Zur besseren Erfassung der Verkehrsströme werden die an verschiedenen Orten ermittelten Verkehrszustandsdaten zweier Meßstellen z.B. einer Korrelationsanalyse unterworfen, um daraus Aussagen u.a. über die Verkehrsströme zu erhalten.WO 89/02142 describes a system for optimal use of a road network known that at selected locations or route sections over at least one Recording sensor has the traffic condition, in particular the traffic density, detected. The traffic status data is then sent to a control center, which is a Traffic calculator can be transmitted. The processing and processing takes place in the control center Preparation of the traffic condition data, which is then used for direct Traffic control can be used, for example, by direct information from the Car driver; the traffic control is based on a target-actual comparison the traffic condition data from selected locations or sections of route. The Target values correspond, for example, to the optimal traffic condition on the corresponding section of the road network. To better capture the Traffic flows become the traffic status data determined at different locations two measuring points e.g. subjected to a correlation analysis to get from it Statements etc. to get about the traffic flows.

Nachteilig ist bei diesem System zur besseren Ausnutzung des bestehenden Straßennetzes, daß die Verkehrsströme nur unzureichend prognostiziert werden können, da insbesondere nur begrenzt ermittelbar ist, aus welchen Teilströmen sich die ermittelten Verkehrsströme zusammensetzen. Eine Prognose der Verkehrsströme an ausgewählten Orten oder Streckenabschnitten ist bei diesem System somit mit erheblicher Unsicherheit behaftet.The disadvantage of this system is that it makes better use of the existing one Road network that the traffic flows are forecast insufficiently can, since in particular it can only be determined to a limited extent from which partial flows compile the determined traffic flows. A forecast of traffic flows at selected locations or sections of the route is therefore part of this system considerable uncertainty.

Es ist Aufgabe der vorliegenden Erfindung, ein Verfahren und ein System anzugeben, das eine sicherere Prognose der Verkehrsströme an ausgewählten Orten oder Streckenabschnitten eines Straßennetzes ermöglicht und dadurch insbesondere eine effektive Verkehrslenkung und Zielführung von Fahrzeugen gestattet.It is an object of the present invention to provide a method and a system which enables a more reliable forecast of the traffic flows at selected locations or sections of a road network and thereby in particular allows effective traffic control and destination guidance of vehicles.

Die Lösung dieser Aufgabe hinsichtlich des Verfahrens ist erfindungsgemäß gekennzeichnet durch die im kennzeichnenden Teil des Patentanspruchs 1 angegebenen Merkmale. Durch die kennzeichnenden Merkmale der Unteransprüche 2 bis 7 ist dieses Verfahren in vorteilhafter Weise weiter ausgestaltbar. Ein System zur Durchführung des erfindungsgemäßen Verfahrens weist die Merkmale des Patentanspruches 8 auf; durch die kennzeichnenden Merkmale der Unteransprüche 9 bis 13 ist dieses System in vorteilhafter Weise weiter ausgestaltbar.The solution to this problem with regard to the method is characterized according to the invention by the features specified in the characterizing part of patent claim 1. Due to the characterizing features of subclaims 2 to 7, this method can advantageously be further developed. A system for performing the method according to the invention has the features of claim 8; by the characterizing features of subclaims 9 to 13, this system can be further developed in an advantageous manner.

Die Erfindung sieht vor, daß Fahrzeuge einer Stichprobenfahrzeugflotte jeweils ihre aktuelle Ortsposition zeit- und/oder wegabhängig ermitteln und abspeichern, so daß die ermittelten Ortspositionen als Fahrtroutendaten der zurückgelegten Fahrtroute einer Auswertung zur Verfügung stehen. Mindestens ein Teil der Fahrzeuge der Stichprobenfahrzeugflotte überträgt dazu in Abständen die Fahrtroutendaten an einen Verkehrsrechner. Der Verkehrsrechner bestimmt aus den aktuell erfaßten Fahrtroutendaten die Verkehrsströme sowie ihre Zusammensetzung, d.h. die Teilströme, aus denen sich die Verkehrsströme im wesentlichen zusammensetzen, und ordnet diese den ausgewählten Orten oder Streckenabschnitten zu. Gleichzeitig dienen die ermittelten Verkehrsströme sowie ihre Zusammensetzung der Ermittlung und/oder Aktualisierung statistischer Verkehrsstromdaten, die vom Verkehrsrechner als zeitabhängige Erfahrungswerte für die Prognose der Verkehrsströme herangezogen werden. Zur Prognose der Verkehrsströme werden zusätzlich aktuelle Fahraktivitätsdaten in einem vorgegebenen größeren räumlichen Bereich um die ausgewählten Orte oder Streckenabschnitte herum erfaßt und an den Verkehrsrechner übertragen, so daß der Verkehrsrechner ausgehend von den Fahraktivitätsdaten die Prognose der Verkehrsströme an den ausgewählten Orten oder Streckenabschnitten durch Extrapolation der zugeordneten Verkehrsstromdaten unter Berücksichtigung der zeitabhängigen Erfahrungswerte ermitteln kann. Als aktuelle Fahraktivitätsdaten können auch Daten herangezogen werden, die nicht in jedem Fall bereits eine tatsächliche Fahraktivität repräsentieren, sondern erst auf eine unmittelbar bevorstehende Fahraktivität hindeuten (z.B. Bereitschaftsanzeige eines Mobilfunktelefons in einem Fahrzeug, welches gerade erst gestartet wird).The invention provides that vehicles of a sample vehicle fleet each have their Determine and save current location position depending on time and / or route, so that the determined location positions as route data of the route traveled are available for an evaluation. At least part of the vehicles of the For this purpose, the sample vehicle fleet transmits the route data to you at intervals Traffic computer. The traffic computer determines from the currently recorded Route data, traffic flows and their composition, i.e. the Partial flows, which essentially make up the traffic flows, and assigns them to the selected locations or route sections. simultaneously serve the determined traffic flows and their composition for the determination and / or updating statistical traffic flow data from the traffic computer as time-dependent empirical values for the forecast of traffic flows be used. Current forecasts are also used to forecast traffic flows Driving activity data in a predetermined larger spatial area around the selected locations or sections of the route are recorded and sent to the traffic computer transmitted so that the traffic computer based on the driving activity data Forecast traffic flows at the selected locations or sections of the route by extrapolation of the assigned traffic flow data taking into account the can determine time-dependent empirical values. As current driving activity data data can also be used, which is not in any case already represent actual driving activity, but only on an immediate one indicate upcoming driving activity (e.g. readiness display of a Mobile phones in a vehicle that is just starting).

Bei diesem Verfahren zur Prognose der Verkehrsströme anhand von Fahrtroutendaten einer Vielzahl von Fahrzeugen verfügt der Verkehrsrechner nicht nur über Verkehrsstromdaten zu bestimmten Zeitpunkten, sondern auch über Angaben darüber, aus welchen Verkehrsströmen sich diese Verkehrsstromdaten zusammensetzen. Die von den Fahrzeugen der Stichprobenfahrzeugflotte übermittelten Fahrtroutendaten enthalten einerseits Informationen beispielsweise über die relative Verkehrsdichte an einzelnen Orten oder Streckenabschnitten, andererseits aber auch Informationen darüber, welche Verkehrsströme diese Verkehrsdichte anteilig hervorrufen. So ist es möglich, beispielsweise aus der Zahl der aktiven Kraftfahrzeuge in einem vorgegebenen größeren räumlichen Bereich um die ausgewählten Orte oder Streckenabschnitte herum, die kurzfristig oder langfristig zu erwartenden Verkehrsströme an den ausgewählten Orten oder Streckenabschnitten sicher vorherzusagen.In this method for forecasting traffic flows based on route data the traffic computer not only has a large number of vehicles Traffic flow data at certain times, but also about information about which traffic flows make up this traffic flow data. The Route data transmitted by the vehicles of the sample vehicle fleet contain information on the one hand, for example about the relative traffic density individual locations or sections of the route, but also information about which traffic flows cause this traffic density proportionately. That's the way it is possible, for example from the number of active motor vehicles in one predetermined larger spatial area around the selected locations or Route sections around that can be expected in the short or long term Traffic flows safely at the selected locations or sections of route predict.

Um die Übertragungskanäle für die Übertragung der Fahrtroutendaten nicht zu überlasten, werden die Fahrtroutendaten in reduzierter Form übertragen, indem redundante Daten entfernt werden, die beispielsweise bei der Fahrt entlang einer geraden Straße oder Autobahn in den Fahrtroutendaten enthalten sind. Die Übertragung erfolgt zweckmäßigerweise über ein Funktelefon.In order not to use the transmission channels for the transmission of route data overload, the route data are transmitted in a reduced form by redundant data are removed, for example when driving along a straight road or highway are included in the route data. The Transmission is conveniently via a radio telephone.

Die Ermittlung und/oder Aktualisierung statistischer Verkehrsstromdaten erfolgt parameterabhängig, wenn die Verkehrsströme mit höherer Sicherheit prognostiziert werden müssen. So werden die Verkehrsstromdaten beispielsweise in Abhängigkeit vom Wochentag und von der Tageszeit ermittelt und/oder aktualisiert.Statistical traffic flow data is determined and / or updated Parameter-dependent if the traffic flows are forecast with greater certainty Need to become. For example, the traffic flow data becomes dependent determined and / or updated from the day of the week and the time of day.

Es ist zweckmäßig, die Fahrtroutendaten der zurückgelegten Fahrtroute und die Fahraktivitätsdaten unter bestimmten Bedingungen erst nach Aufforderung durch den Verkehrsrechner an diesen zu übertragen. It is advisable to include the route data of the route traveled and the Driving activity data under certain conditions only after request by the Traffic calculator to transmit to this.

Zweckmäßigerweise umfassen die aktuellen Fahraktivitätsdaten den Betriebszustand der Fahrzeuge, die mit einem Fahraktivitätssensor ausgestattet sind.The current driving activity data expediently comprise the operating state of vehicles equipped with a driving activity sensor.

Mit Vorteil wird durch die Erfindung vorgeschlagen, die Fahraktivitätsdaten durch Abfrage und Auswertung der Aktivität von Mobilfunktelefonnetzen zu erfassen. Hierfür läßt sich insbesondere die Bereitschaftsanzeige beim Starten des Fahrzeugs nutzen. In diesem Fall erübrigt sich die Installation von speziellen Fahraktivitätssensoren.Advantageously, the driving activity data is proposed by the invention Query and evaluate the activity of mobile phone networks. Therefor In particular, the ready display can be used when starting the vehicle. In this case there is no need to install special driving activity sensors.

Die Größe des räumlichen Bereichs, in dem die unmittelbar bevorstehenden oder bereits laufenden Fahraktivitäten erfaßt werden, wird zweckmäßigerweise in Abhängigkeit von der Besiedlungsdichte vorgegeben.The size of the spatial area in which the imminent or Driving activities that are already running are expediently recorded in Depending on the population density.

Ein System zur Durchführung des Verfahrens weist Fahrzeuge einer Stichprobenfahrzeugflotte auf, die jeweils Mittel zur Bestimmung der aktuellen Ortsposition, zur Speicherung mindestens der Fahrtroutendaten und zur Übertragung von Daten an eine außerhalb der Fahrzeuge fest angeordnete Empfangseinheit aufweisen. Die Fahraktivitäten werden durch räumlich verteilt angeordnete Fahraktivitätssensoren erfaßt, die wiederum Mittel aufweisen zur Übertragung der erfaßten Fahraktivitätsdaten an die fest angeordnete Empfangseinheit. Darüber hinaus umfaßt das System einen Verkehrsrechner, der eine digitale Straßenkarte, einen elektronischen Speicher zur Speicherung von Erfahrungswerten aufweist und mit der Empfangseinheit zum Empfang der von den Fahrzeugen der Stichprobenfahrzeugflotte und den Fahraktivitätssensoren übertragenden Daten verbunden ist.A system for performing the method has vehicles Sample vehicle fleet, each with means for determining the current Location position, for storing at least the route data and for transmission of data to a receiving unit fixedly arranged outside the vehicles exhibit. The driving activities are arranged by spatially distributed Driving activity sensors detected, which in turn have means for transmitting the recorded driving activity data to the fixedly arranged receiving unit. Furthermore the system includes a traffic computer, a digital road map, a has electronic memory for storing empirical values and with the Receiving unit for receiving the vehicles from the sample vehicle fleet and data is transmitted to the driving activity sensors.

Die Bestimmung der aktuellen Ortsposition erfolgt zweckmäßigerweise durch einen Empfänger für Signale von Navigations-Satelliten-Systemen (z.B. GPS), da dieser klein im Aufbau ist und die Ortsposition mit hinreichender Genauigkeit technisch relativ einfach bestimmt werden kann.The current position is expediently determined by a Receiver for signals from navigation satellite systems (e.g. GPS), since this is small in structure and the location is technically relative with sufficient accuracy can be easily determined.

In Ausgestaltung der Erfindung ist es vorgesehen, daß der Verkehrsrechner eine Sendeeinheit zum Senden von Anforderungen an die Fahraktivitätssensoren aufweist, so daß die Fahraktivitätssensoren über eine ebenfalls vorgesehene Empfangseinheit vom Verkehrsrechner aus gesteuert werden können. Auf diese Art und Weise erhält der Verkehrsrechner die Möglichkeit, die Fahraktivitätsdaten bei Bedarf einzuholen. In an embodiment of the invention it is provided that the traffic computer Sending unit for sending requests to the driving activity sensors, so that the driving activity sensors via a receiving unit also provided can be controlled from the traffic computer. That way the traffic computer the possibility to collect the driving activity data if necessary.

Darüber hinaus ist es vorteilhaft, wenn die Fahrzeuge der Stichprobenfahrzeugflotte ebenfalls eine Empfangseinheit zum Empfang von Anforderungen des Verkehrsrechners aufweisen.In addition, it is advantageous if the vehicles of the sample vehicle fleet also a receiving unit for receiving requests from the Show traffic calculator.

Um eine sichere Prognose der Verkehrsströme zu gewährleisten, ist es vorgesehen, daß die Fahraktivitätssensoren möglichst in einer Vielzahl von Fahrzeugen installiert sind und daß die Fahraktivitätsdaten in anonymisierter Form beispielsweise beim Start des Fahrzeugs an den Verkehrsrechner übertragen werden. Die Fahraktivitätssensoren sind beispielsweise auch in Fahrzeugen installiert, die nicht zur Stichprobenfahrzeugflotte gehören. Es ist aber auch denkbar, daß die Fahraktivitätssensoren z.B. fest in der Straßendecke von Nebenstraßen innerhalb eines Wohngebiets installiert sind, um die Zahl der aktiven Fahrzeuge zu erfassen, die mit einer gewissen Wahrscheinlichkeit zeitlich versetzt zu den entsprechenden Verkehrsströmen an den ausgewählten Orten oder Streckenabschnitten beitragen.In order to ensure a reliable forecast of traffic flows, that the driving activity sensors are installed in as many vehicles as possible and that the driving activity data in anonymous form, for example at the start of the vehicle are transmitted to the traffic computer. The driving activity sensors are also installed in vehicles that are not for example Sample vehicle fleet belong. But it is also conceivable that the Driving activity sensors e.g. stuck in the pavement of back streets within of a residential area are installed to record the number of active vehicles that with a certain probability staggered to the corresponding Traffic flows contribute to the selected locations or sections of the route.

Zweckmäßigerweise weisen die Fahrzeuge auch einen Sensor zur Erfassung der momentanen Fahrzeuggeschwindigkeit auf, die Verkehrsströme können dann genauer ermittelt und direkt mit der Fahrzeugdichte verknüpft werden.The vehicles also expediently have a sensor for detecting the current vehicle speed, the traffic flows can then be more accurate determined and linked directly to the vehicle density.

Anhand des in der einzigen Figur dargestellten Systems zur Prognose der Verkehrsströme an ausgewählten Orten oder Streckenabschnitten eines Straßennetzes wird die Erfindung nachfolgend exemplarisch näher erläutert.Using the system shown in the single figure to forecast the Traffic flows at selected locations or sections of a route Road network, the invention is exemplarily explained in more detail below.

Das System zur Durchführung des Verfahrens zur Prognose der Verkehrsströme umfaßt im wesentlichen drei Teilsysteme: Eine Stichprobenfahrzeugflotte 10, räumlich verteilt angeordnete Fahraktivitätssensoren 20, die insbesondere in den Fahrzeugen 11 der Stichprobenfahrzeugflotte 10 installiert sein können, und einen Verkehrsrechner 30. Bei den räumlich verteilt angeordneten Fahraktivitätssensoren 20 kann es sich um bewegliche als auch um ortsfeste Fahraktivitätssensoren 20 handeln. Wesentlich ist dabei, daß Fahraktivitätssensoren 20 räumlich über einen gewissen geographischen Bereich verteilt angeordnet sind, um die Fahraktivitäten möglichst "flächendeckend" zu erfassen. Die Teilsysteme sind datentechnisch miteinander verbindbar. Zur Herstellung der datentechnischen Verbindung mit dem Verkehrsrechner 30 sind die Fahrzeuge 11 der Stichprobenfahrzeugflotte 10 jeweils mit einem Sendegerät ausgestattet Auch die Fahraktivitätssensoren 20 bilden zusammen mit einem Sender eine gerätetechnische Einheit, die selbsttätig Fahraktivitätsdaten an den Verkehrsrechner 30 übermitteln kann. Zum Empfang der Fahrtroutendaten der Fahrzeuge 11 der Stichprobenfahrzeugflotte 10 und der von den Fahraktivitätssensoren 20 erfaßten Fahraktivitätsdaten ist der Verkehrsrechner 30 mit einer entsprechenden Empfangseinheit 31 versehen. Zusätzlich können die Empfangseinheiten der Fahrzeuge 11 der Stichprobenfahrzeugflotte 10 und/oder der Fahraktivitätssensoren 20 mit einer Empfangseinrichtung ausgerüstet sein. Diese Empfangseinrichtungen ermöglichen dann den Empfang von Anforderungen des Verkehrsrechners, der die entsprechenden Fahrtrouten- und Fahraktivitätsdaten bei entsprechendem Informationsbedarf, beispielsweise bei schwierigen Verkehrssituationen auf den entsprechenden Streckenabschnitten, abrufen kann.The system for carrying out the procedure for forecasting traffic flows essentially comprises three subsystems: a sample vehicle fleet 10, spatially distributed driving activity sensors 20, in particular in the vehicles 11 of the sample vehicle fleet 10 can be installed, and a traffic computer 30. The spatially distributed driving activity sensors 20 can be act movable as well as stationary driving activity sensors 20. Is essential doing that driving activity sensors 20 spatially over a certain geographic Area are arranged in order to make the driving activities as "area-wide" as possible to capture. The subsystems can be interconnected in terms of data technology. For the production The data connection to the traffic computer 30 are the vehicles 11 the sample vehicle fleet 10 each equipped with a transmitter Driving activity sensors 20 together with a transmitter form a device-related one Unit that automatically transmit driving activity data to the traffic computer 30 can. To receive the route data of the vehicles 11 of the Sample vehicle fleet 10 and that detected by driving activity sensors 20 Traffic activity data is the traffic computer 30 with a corresponding one Receiving unit 31 provided. In addition, the receiving units of the Vehicles 11 of the sample vehicle fleet 10 and / or the driving activity sensors 20 be equipped with a receiving device. These receiving devices then enable the reception of requests from the traffic computer which the corresponding route and driving activity data with the corresponding Information needs, for example in difficult traffic situations on the corresponding sections of the route.

Die in den Fahrzeugen der Stichprobenfahrzeugflotte 10 installierten Mittel umfassen ein Gerät zur Bestimmung der aktuellen Ortsposition und zweckmäßigerweise auch der momentanen Fahrzeuggeschwindigkeit, einen Speicher zur Speicherung mindestens der Fahrtroutendaten und die bereits o.g. Sendeeinrichtung zur Übertragung von Daten an den außerhalb der Fahrzeuge 11 fest angeordneten Verkehrsrechner 30. Zur Bestimmung der aktuellen Ortsposition und der momentanen Fahrzeuggeschwindigkeit kann beispielsweise ein Empfänger für Signale von Navigations-Satelliten-Systemen in den Fahrzeugen der Stichprobenfahrzeugflotte 10 vorgesehen sein. Die Erfassung der momentanen Fahrzeuggeschwindigkeit kann selbstverständlich auch durch separate Sensoren (z.B. Tachometer) erfolgen; die Verkehrsströme an ausgewählten Orten oder Streckenabschnitten können dann genauer ermittelt und direkt mit der Fahrzeugdichte verknüpft werden (Anzahl Fahrzeuge = mittlere Geschwindigkeit pro Fahrzeugdichte).The means installed in the vehicles of the sample vehicle fleet 10 include a device for determining the current location and expediently also the current vehicle speed, a memory for storage at least the route data and the above-mentioned Sending device for Transmission of data to the fixed outside of the vehicles 11 Traffic calculator 30. To determine the current location and the current one Vehicle speed can be, for example, a receiver for signals from Navigation satellite systems in the vehicles of the sample vehicle fleet 10 be provided. The detection of the current vehicle speed can of course also done by separate sensors (e.g. speedometer); the Traffic flows at selected locations or sections of the route can then determined more precisely and linked directly to the vehicle density (number Vehicles = average speed per vehicle density).

Zur Speicherung der Fahrtroutendaten der von einem Fahrzeug 11 zurückgelegten Strecke ist in den Fahrzeugen 11 der Stichprobenfahrzeugflotte 10 jeweils eine Speichereinheit vorgesehen, die zweckmäßig im Sinne eines Ringspeichersystems organisiert ist und lediglich die Informationen über einen begrenzten Zeitraum hinweg erfaßt. Zweckmäßigerweise wird die Speicherung der vom Empfänger für Signale von Navigations-Satelliten-Systemen ermittelten Ortspositionen und die Datenübertragung an den Verkehrsrechner 30 von einem im Fahrzeug integrierten Mikroprozessor gesteuert. Die in den Fahrzeugen 11 installierte Sendeeinheit ermöglicht die Übertragung der Fahrtroutendaten an den Verkehrsrechner 30, wobei die Auslösung der Datenübertragung durch den Mikroprozessor erfolgt.For storing the travel route data of a vehicle 11 The route is one in each of the vehicles 11 of the sample vehicle fleet 10 Storage unit provided, which is expedient in the sense of a ring storage system is organized and only the information over a limited period of time detected. Conveniently, the storage of the receiver for signals from Navigation satellite systems determined location positions and data transmission to the traffic computer 30 from a microprocessor integrated in the vehicle controlled. The transmitter unit installed in the vehicles 11 enables this Transmission of the route data to the traffic computer 30, the triggering the data transfer is carried out by the microprocessor.

Der außerhalb der Fahrzeuge 11 der Stichprobenfahrzeugflotte 10 angeordnete Verkehrsrechner 30 ist direkt mit einer Empfangseinheit 31 verbunden. Über diese Verbindung werden die Fahrtrouten der Fahrzeuge 11 der Stichprobenfahrzeugflotte 10 an den Verkehrsrechner 30 übergeben. Zur Ablage der Fahrtrouten ist der Verkehrsrechner 30 mit entsprechenden Speichereinheiten ausgerüstet. Eine im Verkehrsrechner 30 vorgesehene digitale Straßenkarte ermöglicht die Zuordnung der Fahrtrouten zu den dazugehörenden Straßenabschnitten. Die aus den Fahrtrouten abgeleiteten Erfahrungswerte bezüglich der Verkehrsströme und deren Zusammensetzung an ausgewählten Orten oder Streckenabschnitten eines Straßennetzes sind in einer speziellen Speichereinheit des Verkehrsrechners 30 abgelegt.The one arranged outside the vehicles 11 of the sample vehicle fleet 10 Traffic computer 30 is connected directly to a receiving unit 31. About these The routes of the vehicles 11 of the sample vehicle fleet are connected 10 passed to the traffic computer 30. To store the routes is the Traffic computer 30 equipped with appropriate storage units. One in Traffic computer 30 provided digital road map enables the assignment of Driving routes to the corresponding road sections. Those from the routes derived empirical values regarding the traffic flows and their Composition at selected locations or sections of a route Road networks are in a special storage unit of the traffic computer 30 stored.

Um Fahraktivitäten in einem vorgegebenen größeren Bereich um einen ausgewählten Ort oder Streckenabschnitt herum erfassen zu-können, sind Fahraktivitätssensoren 20 in diesem Bereich räumlich verteilt angeordnet. Räumlich verteilt ist dabei nicht statisch zu verstehen, da es sich bei den Fahraktivitätssensoren 20 beispielsweise um in Fahrzeugen installierte Sensoren handeln kann, die den Betriebszustand des Fahrzeugs erfassen und sofort oder unter bestimmten vorgegebenen oder vorgebbaren Bedingungen an den Verkehrsrechner 30 übertragen können. Bei den Fahraktivitätssensoren 20 kann es sich auch um Sensoren handeln, die nicht oder nicht nur aktuelle Fahraktivitäten eines Fahrzeugs erfassen, sondern solche Ereignisse erfassen, die mit bevorstehenden Fahraktivitäten zusammenhängen. Die bevorstehenden Fahraktivitäten können dabei mit einer gewissen statistischen Sicherheit mit den erfaßten Ereignissen zusammenhängen. So kann es sich bei den Fahraktivitätssensoren 20 um Mobilfunk-Telefone handeln, deren Aktivität innerhalb eines Mobilfunk-Telefonnetzes erfaßt und ausgewertet wird, um eine Aussage über bevorstehende oder aktuelle Fahraktivitäten zu erhalten. In diesem Falle sind die "Fahraktivitätssensoren" nicht mit einer speziellen Sendeeinrichtung zur Übertragung der erfaßten Aktivitätsdaten an den Verkehrsrechner 30 ausgerüstet, sondern das Mobilfunk-Telefonnetz übernimmt mit seinen Sendeeinheiten die Datenübertragung an den Verkehrsrechner 30. To drive activities in a given larger area around a selected one To be able to detect the location or section of the route are driving activity sensors 20 arranged spatially distributed in this area. It is not spatially distributed to be understood statically, since the driving activity sensors 20 are, for example installed in vehicles can act on the operating state of the Capture vehicle and immediately or under certain predetermined or Predefinable conditions can be transmitted to the traffic computer 30. Both Driving activity sensors 20 can also be sensors that are not or not only record current driving activities of a vehicle, but such events capture that are related to upcoming driving activities. The upcoming driving activities can be done with a certain statistical Security related to the events captured. So it can be with the Driving activity sensors 20 are cellular telephones whose activity is within of a cellular telephone network is recorded and evaluated in order to make a statement about receive upcoming or current driving activities. In this case they are "Driving activity sensors" not with a special transmission device for transmission equipped the activity data to the traffic computer 30, but that Cellular telephone network takes over the data transmission with its transmission units the traffic computer 30.

Ausgangspunkt des Verfahrens zur Prognose der Verkehrsströme an ausgewählten Orten oder Streckenabschnitten eines Straßennetzes sind ihre Fahrtroute selbsttätig ermittelnde Fahrzeuge 11 einer Stichprobenfahrzeugflotte 10, die sich innerhalb eines Straßennetzes bewegen. Die Bewegung dieser Fahrzeuge 11 innerhalb des Straßennetzes erfolgt dabei z.B. zufällig und ohne spezielle Vorgaben. Mittels z.B. eines Empfängers für Signale von Navigations-Satelliten-Systemen werden im Fahrzeug ständig die aktuelle Ortsposition und die momentane Fahrzeuggeschwindigkeit ermittelt und nacheinander zusammen in einer Speichereinheit abgelegt. Diese gespeicherten Ortspositionen stellen den wichtigsten Teil der Fahrtroutendaten dar, zu denen insbesondere noch der Zeitpunkt der jeweiligen Ortspositionsermittlung gehören kann. Es ist aber auch möglich, daß der gesamten Fahrtroute und damit den gesamten Fahrtroutendaten nur ein Zeitpunkt oder eine Zeitspanne zugeordnet wird. Eine Zeitzuordnung zu den Fahrtroutendaten erfolgt, wenn eine zeitabhängige Auswertung vorgesehen ist. Die Fahrtroutendaten werden mittels der Sendeeinheit von den Fahrzeugen 11 der Stichprobenfahrzeugflotte 10 an die fest angeordnete Empfangseinheit 31 des Verkehrsrechners 30 übertragen. Die Übertragung der Fahrtroutendaten erfolgt zeit- und/oder wegabhängig, sie kann regelmäßig oder unregelmäßig oder aber auch auf Anforderung erfolgen. Die Empfangseinheit 31 übergibt die Fahrtroutendaten an den Verkehrsrechner 30, der diese zunächst in einem dafür vorgesehenen Speicher oder Speicherbereich ablegt.Starting point of the process for forecasting traffic flows at selected Locations or sections of a road network are independent determining vehicles 11 of a sample vehicle fleet 10 which are within a Move road network. The movement of these vehicles 11 within the Road network takes place e.g. randomly and without special requirements. With e.g. a receiver for signals from navigation satellite systems are in Vehicle constantly the current position and the current vehicle speed determined and successively together in a storage unit stored. These stored location positions represent the most important part of the Itinerary data, in particular the time of the respective Location determination can include. But it is also possible that the entire Route and thus the entire route data only one point in time or one Time period is assigned. There is a time assignment to the route data, if a time-dependent evaluation is planned. The route data will be from the vehicles 11 of the sample vehicle fleet 10 by means of the transmission unit transmit the fixed reception unit 31 of the traffic computer 30. The The route data is transmitted time and / or route dependent, it can regularly or irregularly or on request. The Receiving unit 31 transfers the route data to the traffic computer 30, the initially stores them in a memory or memory area provided for this purpose.

Zur Auswertung durch den Verkehrsrechner 30 werden die Fahrtroutendaten jeweils den einzelnen Streckenabschnitten des Straßennetzes auf der digitalen Straßenkarte zugeordnet. Danach bestimmt der Verkehrsrechner 30 die wesentlichen Teilströme (Teil-Verkehrsströme) und die dadurch bewirkten Verkehrsdichten an mindestens einem ausgewählten Ort oder Streckenabschnitt eines Straßennetzes relativ zueinander, d.h. es wird jeweils der prozentuale Anteil eines Teilstroms am gesamten Verkehrsstrom an einem ausgewählten Ort oder Streckenabschnitt eines Straßennetzes ermittelt. Diese so ermittelten Verkehrsstromverhältnisse werden mit den im Speicher vorliegenden Erfahrungswerten, d.h. mit den Erfahrungswerten zum gleichen Zeitpunkt eines entsprechenden Wochentags unter Berücksichtigung spezieller Randbedingungen, verglichen und modifiziert. Eine spezielle Randbedingung wäre beispielsweise der Beginn von Schulferien an diesem Tag in einem bestimmten Bundesland und dergleichen mehr. Die Modifizierung kann z.B. dadurch erfolgen, daß eine spezielle Mittelung durchgeführt wird, bei der das gewichtete Mittel aus den aktuellen Verkehrsstromverhältnissen und den "Erfahrungs-Verkehrsstromverhältnissen" an dem ausgewählten Ort oder Streckenabschnitt zu einem solchen Zeitpunkt an einem entsprechenden Wochentag unter Berücksichtigung spezieller Randbedingungen gebildet wird. Danach erfolgt zweckmäßigerweise eine Aktualisierung der zeitabhängigen "Erfahrungs-Verkehrsstromverhältnisse" durch den Verkehrsrechner 30, beispielsweise ebenfalls durch gewichtete Mittelung.For the evaluation by the traffic computer 30, the route data are in each case the individual sections of the road network on the digital road map assigned. The traffic computer 30 then determines the essential partial flows (Partial traffic flows) and the resulting traffic densities at least relative to a selected location or section of a road network to each other, i.e. it is the percentage of a partial flow in the total Traffic flow at a selected location or section of a route Road network determined. These traffic flow conditions are determined using the empirical values available in the memory, i.e. with the experience at taking into account the same time of a corresponding weekday special boundary conditions, compared and modified. A special one Boundary condition would be, for example, the start of school holidays on that day in a particular state and the like. The modification can e.g. in that a special averaging is carried out, in which the weighted average of the current traffic flow conditions and the "experience traffic flow conditions" at the selected location or section of the route taking into account such a time on a corresponding weekday special boundary conditions is formed. After that, there is expediently a Update of the time-dependent "experience traffic flow conditions" by the Traffic computer 30, for example also by weighted averaging.

Parallel zur Erfassung, Übertragung und Auswertung der Fahrtroutendaten werden die von den Fahraktivitätssensoren 20 in einem vorgegebenen größeren Bereich um einen ausgewählten Ort oder Streckenabschnitt herum ermittelten Fahraktivitätsdaten an die Empfangseinheit 31 übertragen, von der Empfangseinheit 31 an den Verkehrsrechner 30 übergeben und vom Verkehrsrechner 30 in einem dafür vorgesehenen Speicher oder Speicherbereich abgelegt und zu einem geeigneten Zeitpunkt ausgewertet. Die Auswertung erfolgt, indem ausgehend von den ermittelten Fahraktivitätsdaten, d.h. den Fahraktivitäten, sich daraus mit einer gewissen statistischen Wahrscheinlichkeit ergebende Teilströme (Teil-Verkehrsströme) abgeleitet werden. Dies kann wiederum anhand von im Speicher abgelegten Erfahrungswerten erfolgen.Parallel to the acquisition, transmission and evaluation of the route data, the by the driving activity sensors 20 in a predetermined larger range by one selected driving activity data to the selected location or route section Receiving unit 31 transmitted from the receiving unit 31 to the traffic computer 30 transferred and from the traffic computer 30 in a memory provided for this purpose or memory area and evaluated at a suitable time. The Evaluation is carried out by starting from the determined driving activity data, i.e. the driving activities, resulting from this with a certain statistical probability resulting partial flows (partial traffic flows) are derived. Again, this can based on empirical values stored in the memory.

Die Prognose der Verkehrsströme an ausgewählten Orten oder Streckenabschnitten eines Straßennetzes erfolgt dann mit Hilfe der aus den Fahraktivitätsdaten abgeleiteten Teilströme (Teil-Verkehrsströme) anhand der ermittelten Verkehrsstromverhältnisse, also im wesentlichen durch Extrapolation der den Orten oder Streckenabschnitten zugeordneten Verkehrsstromdaten (Verkehrsstromverhältnisse) unter Berücksichtigung von Erfahrungswerten, die insbesondere zeitabhängig sein können. Anhand der prognostizierten Verkehrsströme können anschließend geeignete Maßnahmen der Verkehrsbeeinflussung oder Zielführung von Fahrzeugen erfolgen.The forecast of traffic flows at selected locations or sections of route of a road network is then carried out using the from the driving activity data derived partial flows (partial traffic flows) based on the determined traffic flow conditions, essentially by extrapolating the locations or Traffic flow data assigned to route sections (traffic flow conditions) taking into account empirical values that are particularly time-dependent can. Based on the forecast traffic flows, suitable ones can then be found Measures to influence traffic or route guidance of vehicles take place.

Das erfindungsgemäße Verfahren liefert hauptsächlich die Verkehrsstromverhältnisse an ausgewählten Orten oder Streckenabschnitten eines Straßennetzes; das Ermitteln der absoluten Verkehrsdichten muß, wenn diese benötigt werden, in der Regel durch ergänzende Verfahren erfolgen. Diese Bestimmung der absoluten Verkehrsdichte kann aber anhand von Erfahrungswerten vorgenommen werden. Auch ist es möglich, einige Verkehrsdichte-Sensoren im Straßennetz zu verteilen und damit die Verkehrsstromverhältnisse zu eichen, also ausgewählten Orten oder Streckenabschnitten absolute Verkehrsdichten auf der Grundlage der bestimmten Verkehrsstromverhältnisse zuzuordnen. The method according to the invention mainly provides the traffic flow conditions at selected locations or sections of a road network; investigating the absolute traffic densities, as a rule, must pass through if required additional procedures are carried out. This determination of the absolute traffic density can but based on empirical values. It is also possible to some Distribute traffic density sensors in the road network and thus the traffic flow conditions to calibrate, i.e. selected locations or sections of route absolute Traffic densities based on the specific traffic flow conditions assigned.

Bezugszeichenliste:LIST OF REFERENCE NUMBERS

StichprobenfahrzeugflotteFleet of sample vehicles
1010
Fahrzeugevehicles
1111
FahraktivitätssensorenDriving activity sensors
2020
Verkehrsrechnertraffic computer
3030
Empfangseinheitreceiver unit
3131

Claims (13)

  1. Method of predicting traffic flows at selected locations or road sections of a road network, particularly for the purpose of traffic control and the guidance of vehicles to a destination; in which ascertained traffic flow data, containing information on at least the density of the traffic, is used by a traffic computer with a digital road map for the prediction of the traffic flows which are to be expected,
    in which process the vehicles of a sample vehicle fleet constantly ascertain their current location and store the route covered in the form of route data and
    at least some of the vehicles transmit their route data to the traffic computer at intervals,
    the traffic computer establishes the traffic flow data from the route data, assigns these traffic flow data to the selected locations or road sections, and uses them as time-dependent empirical values to establish and/or update statistical traffic flow data.
    within a predetermined, fairly large spatial area around the selected locations or road sections, current traffic activity data are gathered by mobile or fixed traffic activity sensors and transmitted to the traffic computer, and
    the traffic computer predicts the traffic flows at the selected locations or road sections, on the basis of the traffic activity data gathered in the predetermined fairly large spatial area around the selected locations or road sections, by extrapolating the assigned traffic flow data, taking into account the time-dependent empirical values.
  2. Method as in Claim 1
    characterised in that
    the route data of the route covered are transmitted in reduced form prior to transmission to the traffic computer.
  3. Method as in Claim 1 or 2
    characterised in that
    the traffic computer ascertains and/or updates statistical traffic flow data in dependence on predetermined parameters.
  4. Method as in one of Claims 1 to 3
    characterised in that
    the route data of the route covered, and the traffic activity data, are transmitted to the traffic computer at the request of the latter.
  5. Method as in one of Claims 1 to 4
    characterised in that
    the current traffic activity data show the operating status of a vehicle.
  6. Method as in one of Claims 1 to 5
    characterised in that
    the traffic activity data are gathered by requesting and evaluating the activity of mobile telephone networks.
  7. Method as in one of Claims 1 to 6
    characterised in that
    the spatial area in which the traffic activity is gathered is predetermined in dependence on the density of population.
  8. System for implementing the method as in Claim 1, consisting of vehicles (11) of a sample vehicle fleet (10) which have means of establishing their current location, for storing at least their locational positions in the form of route data, and for transmitting the route data to a receiver unit (31) which is independent of the vehicles (11), and traffic activity sensors (20) distributed spatially, which have means of transmitting, to the receiver unit (31), the traffic activity data collected; and
    a traffic computer (30), which has a digital road map and an electronic memory for storing data, and which is connected to the receiver unit (31) in order to receive the data transmitted by the vehicles (11) of the sample vehicle fleet (10) and by the traffic activity sensors.
  9. System as in Claim 8
    characterised in that
    in order to ascertain their current location, the vehicles (11) have a receiver for signals from navigation satellite systems.
  10. System as in Claim 8 or 9
    characterised in that
    the traffic computer (30) has a transmitter unit for transmitting, and the traffic activity sensors (20) have a receiver system for receiving, requests from the traffic computer for the transfer of data.
  11. System as in one of Claims 8 to 10
    characterised in that
    the vehicles (11) of the sample vehicle fleet (10) have a receiver system for receiving requests from the traffic computer for the transfer of data.
  12. System as in one of Claims 8 to 11
    characterised in that
    the ready-status indication of mobile telephones in a large number of vehicles is used as traffic activity sensors.
  13. System as in Claim 8
    characterised in that
    the vehicles (11) have a sensor to record the current speed of the vehicle.
EP96250138A 1995-07-07 1996-06-26 Method and system for the prognosis of traffic flow Expired - Lifetime EP0755039B1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19526148A DE19526148C2 (en) 1995-07-07 1995-07-07 Method and system for forecasting traffic flows
DE19526148 1995-07-07

Publications (3)

Publication Number Publication Date
EP0755039A2 EP0755039A2 (en) 1997-01-22
EP0755039A3 EP0755039A3 (en) 1997-01-29
EP0755039B1 true EP0755039B1 (en) 2002-12-04

Family

ID=7767121

Family Applications (1)

Application Number Title Priority Date Filing Date
EP96250138A Expired - Lifetime EP0755039B1 (en) 1995-07-07 1996-06-26 Method and system for the prognosis of traffic flow

Country Status (4)

Country Link
US (1) US5812069A (en)
EP (1) EP0755039B1 (en)
AT (1) ATE229211T1 (en)
DE (2) DE19526148C2 (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7944345B2 (en) 2001-09-11 2011-05-17 Zonar Systems, Inc. System and process to ensure performance of mandated safety and maintenance inspections
US8400296B2 (en) 2001-09-11 2013-03-19 Zonar Systems, Inc. Method and apparatus to automate data collection during a mandatory inspection
US8736419B2 (en) 2010-12-02 2014-05-27 Zonar Systems Method and apparatus for implementing a vehicle inspection waiver program
US8810385B2 (en) 2001-09-11 2014-08-19 Zonar Systems, Inc. System and method to improve the efficiency of vehicle inspections by enabling remote actuation of vehicle components
US8972179B2 (en) 2006-06-20 2015-03-03 Brett Brinton Method and apparatus to analyze GPS data to determine if a vehicle has adhered to a predetermined route
US9230437B2 (en) 2006-06-20 2016-01-05 Zonar Systems, Inc. Method and apparatus to encode fuel use data with GPS data and to analyze such data
CN106327870A (en) * 2016-09-07 2017-01-11 武汉大学 Traffic flow distribution estimation and camera layout optimization method in traffic large data collection
US10600096B2 (en) 2010-11-30 2020-03-24 Zonar Systems, Inc. System and method for obtaining competitive pricing for vehicle services
US10665040B2 (en) 2010-08-27 2020-05-26 Zonar Systems, Inc. Method and apparatus for remote vehicle diagnosis
US10706647B2 (en) 2010-12-02 2020-07-07 Zonar Systems, Inc. Method and apparatus for implementing a vehicle inspection waiver program

Families Citing this family (109)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU5268796A (en) 1995-03-23 1996-10-08 Detemobil Method and system for determining dynamic traffic information
WO1998027525A1 (en) * 1996-12-16 1998-06-25 Mannesmann Ag Process for completing and/or verifying data concerning the state of a road network; traffic information centre
US6292742B1 (en) * 1997-02-06 2001-09-18 Mannesmann Ag Transmission of localized traffic information
ES2175692T3 (en) * 1997-02-14 2002-11-16 Vodafone Ag PROCEDURE FOR DETERMINING DATA ON TRAFFIC AND CENTRAL INFORMATION ON TRAFFIC.
DE19721750A1 (en) * 1997-05-24 1998-11-26 Daimler Benz Ag Process for recording and reporting traffic situation data
DE19724407A1 (en) * 1997-06-10 1998-12-17 Alsthom Cge Alcatel Process for determining route data
DE19724919A1 (en) * 1997-06-12 1999-01-07 Adolph Michael Dr Method for generating, merging and updating data usable in a route guidance system
US6133853A (en) * 1998-07-30 2000-10-17 American Calcar, Inc. Personal communication and positioning system
EP0992031A1 (en) * 1997-06-24 2000-04-12 Siemens Aktiengesellschaft Method for determining travel time according to the time of the day
US6047234A (en) 1997-10-16 2000-04-04 Navigation Technologies Corporation System and method for updating, enhancing or refining a geographic database using feedback
SE510430C2 (en) * 1998-01-30 1999-05-25 Dinbis Ab Method and device for network control of traffic
DE19805869A1 (en) 1998-02-13 1999-08-26 Daimler Chrysler Ag Method and device for determining the traffic situation on a traffic network
WO1999044184A1 (en) * 1998-02-27 1999-09-02 Mitsubishi International Gmbh Traffic guidance system
DE19847849A1 (en) * 1998-10-16 2000-04-27 Nokia Mobile Phones Ltd Method and device for selecting traffic information for a motor vehicle
DE19856704C2 (en) * 1998-12-09 2001-09-13 Daimler Chrysler Ag Method and device for vehicle route guidance and / or travel time estimation
DE19858477B4 (en) * 1998-12-17 2004-12-02 Siemens Ag Method for determining traffic information
US6754485B1 (en) * 1998-12-23 2004-06-22 American Calcar Inc. Technique for effectively providing maintenance and information to vehicles
DE19904909C2 (en) 1999-02-06 2003-10-30 Daimler Chrysler Ag Method and device for providing traffic information
NL1011501C2 (en) * 1999-03-09 2000-09-12 Wiebren De Jonge The Traffic Information & Pricing (TIP) system.
CA2266208C (en) * 1999-03-19 2008-07-08 Wenking Corp. Remote road traffic data exchange and intelligent vehicle highway system
US6466862B1 (en) * 1999-04-19 2002-10-15 Bruce DeKock System for providing traffic information
US20060074546A1 (en) * 1999-04-19 2006-04-06 Dekock Bruce W System for providing traffic information
US6384739B1 (en) 1999-05-10 2002-05-07 Bellsouth Intellectual Property Corporation Traffic monitoring system and method
US20040215387A1 (en) 2002-02-14 2004-10-28 Matsushita Electric Industrial Co., Ltd. Method for transmitting location information on a digital map, apparatus for implementing the method, and traffic information provision/reception system
JP3481168B2 (en) 1999-08-27 2003-12-22 松下電器産業株式会社 Digital map location information transmission method
DE19940957C2 (en) * 1999-08-28 2001-10-18 Daimler Chrysler Ag Traffic forecasting method for a traffic network with traffic-regulated network nodes
US6490519B1 (en) * 1999-09-27 2002-12-03 Decell, Inc. Traffic monitoring system and methods for traffic monitoring and route guidance useful therewith
DE10013603C1 (en) * 2000-03-18 2001-11-22 Daimler Chrysler Ag Providing traffic information involves computing cost-optimized functions and arrival times for route sections in traffic center, selecting information for transmission to vehicle
DE10020253A1 (en) * 2000-04-25 2001-12-06 Daimler Chrysler Ag Method for controlling the transmission times of data relating to events that are detected by vehicles
US6381537B1 (en) 2000-06-02 2002-04-30 Navigation Technologies Corp. Method and system for obtaining geographic data using navigation systems
DE10036789A1 (en) 2000-07-28 2002-02-07 Daimler Chrysler Ag Method for determining the traffic condition in a traffic network with effective bottlenecks
KR100349010B1 (en) * 2000-08-28 2002-08-14 모빌토크(주) Method Of Providing Real-time Traffic Information Using A Mobile Phone Through Wireless Internet
US6587777B1 (en) * 2000-10-23 2003-07-01 Sun Microsystems, Inc. System and method for location based traffic reporting
US6804524B1 (en) * 2000-11-21 2004-10-12 Openwave Systems Inc. System and method for the acquisition of automobile traffic data through wireless networks
JP5041638B2 (en) 2000-12-08 2012-10-03 パナソニック株式会社 Method for transmitting location information of digital map and device used therefor
JP4663136B2 (en) 2001-01-29 2011-03-30 パナソニック株式会社 Method and apparatus for transmitting location information of digital map
AU2002256855B2 (en) * 2001-02-09 2007-05-17 Yosef Mintz Traffic predictions
JP4230132B2 (en) 2001-05-01 2009-02-25 パナソニック株式会社 Digital map shape vector encoding method, position information transmission method, and apparatus for implementing the same
US6560532B2 (en) * 2001-05-25 2003-05-06 Regents Of The University Of California, The Method and system for electronically determining dynamic traffic information
US20150170521A1 (en) 2001-09-11 2015-06-18 Zonar Systems, Inc. System and method to enhance the utility of vehicle inspection records by including route identification data in each vehicle inspection record
US20110068954A1 (en) 2006-06-20 2011-03-24 Zonar Systems, Inc. Method and apparatus to collect object identification data during operation of a vehicle and analysis of such data
US11341853B2 (en) 2001-09-11 2022-05-24 Zonar Systems, Inc. System and method to enhance the utility of vehicle inspection records by including route identification data in each vehicle inspection record
US20030088631A1 (en) * 2001-11-02 2003-05-08 Hixson Roy L. Onboard communications
US6850269B2 (en) 2001-12-03 2005-02-01 James F. Maguire Mobile traffic camera system
GB2385453A (en) * 2001-12-11 2003-08-20 Malcolm Graham Lawrence Highway vehicular traffic flow control
US7038619B2 (en) * 2001-12-31 2006-05-02 Rdp Associates, Incorporated Satellite positioning system enabled media measurement system and method
JP3990641B2 (en) * 2002-03-27 2007-10-17 松下電器産業株式会社 Road information providing system and apparatus and road information generation method
US7116326B2 (en) * 2002-09-06 2006-10-03 Traffic.Com, Inc. Method of displaying traffic flow data representing traffic conditions
US7835858B2 (en) 2002-11-22 2010-11-16 Traffic.Com, Inc. Method of creating a virtual traffic network
US6810321B1 (en) 2003-03-17 2004-10-26 Sprint Communications Company L.P. Vehicle traffic monitoring using cellular telephone location and velocity data
KR100572666B1 (en) * 2003-07-14 2006-04-24 에스케이 텔레콤주식회사 Method for obtaining traffic information by using call data record of mobile
US7634352B2 (en) * 2003-09-05 2009-12-15 Navteq North America, Llc Method of displaying traffic flow conditions using a 3D system
WO2006060518A2 (en) 2004-11-30 2006-06-08 Circumnav Networks, Inc. Methods for deducing road geometry and connectivity
US7908080B2 (en) 2004-12-31 2011-03-15 Google Inc. Transportation routing
US20060161335A1 (en) * 2005-01-14 2006-07-20 Ross Beinhaker Routing system and method
JP4329711B2 (en) * 2005-03-09 2009-09-09 株式会社日立製作所 Traffic information system
US8370054B2 (en) 2005-03-24 2013-02-05 Google Inc. User location driven identification of service vehicles
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
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
JP4367431B2 (en) 2005-10-26 2009-11-18 トヨタ自動車株式会社 Vehicle driving support system
US7469827B2 (en) 2005-11-17 2008-12-30 Google Inc. Vehicle information systems and methods
DE102006000643A1 (en) * 2006-01-03 2007-07-05 Robert Bosch Gmbh Method for transmitting route information
US8306556B2 (en) * 2006-02-08 2012-11-06 Telenav, Inc. Intelligent real-time distributed traffic sampling and navigation system
JP2007264628A (en) * 2006-03-28 2007-10-11 Samsung Sdi Co Ltd Filter, display device provided with the same and manufacturing method of the same
US10056008B1 (en) 2006-06-20 2018-08-21 Zonar Systems, Inc. Using telematics data including position data and vehicle analytics to train drivers to improve efficiency of vehicle use
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
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
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
US7869936B2 (en) * 2006-07-11 2011-01-11 International Business Machines Corporation Routing method and system
JP4950590B2 (en) * 2006-08-07 2012-06-13 クラリオン株式会社 Traffic information providing apparatus, traffic information providing system, traffic information transmission method, and traffic information request method
WO2008045196A2 (en) * 2006-10-09 2008-04-17 Marvell World Trade Ltd. Gps-based traffic monitoring system
JP4729469B2 (en) * 2006-11-10 2011-07-20 日立オートモティブシステムズ株式会社 Traffic information system
US7447588B1 (en) * 2007-07-16 2008-11-04 Wenshine Technology Ltd. Method and system for partitioning a continental roadway network for an intelligent vehicle highway system
JP4547408B2 (en) * 2007-09-11 2010-09-22 日立オートモティブシステムズ株式会社 Traffic condition prediction device and traffic condition prediction method
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
US20090210142A1 (en) * 2008-02-19 2009-08-20 Microsoft Corporation Safe route configuration
US20090210302A1 (en) * 2008-02-19 2009-08-20 Microsoft Corporation Route reward augmentation
US20090210242A1 (en) * 2008-02-19 2009-08-20 Microsoft Corporation Load balance payment
US8478642B2 (en) * 2008-10-20 2013-07-02 Carnegie Mellon University System, method and device for predicting navigational decision-making behavior
US8549552B2 (en) * 2009-11-03 2013-10-01 The Nielsen Company (Us), Llc Methods and apparatus to monitor media exposure in vehicles
US20110173072A1 (en) * 2010-01-08 2011-07-14 David Ross Systems and methods for advertising on a mobile electronic device
US8930123B2 (en) 2010-11-19 2015-01-06 International Business Machines Corporation Systems and methods for determining traffic intensity using information obtained through crowdsourcing
US10431020B2 (en) 2010-12-02 2019-10-01 Zonar Systems, Inc. Method and apparatus for implementing a vehicle inspection waiver program
US8751589B2 (en) 2011-04-13 2014-06-10 Jingle Technologies Llc Systems and methods for transmitting information, alerts, and/or comments to participants based on location information
US8774837B2 (en) 2011-04-30 2014-07-08 John Anthony Wright Methods, systems and apparatuses of emergency vehicle locating and the disruption thereof
US20130132434A1 (en) * 2011-11-22 2013-05-23 Inrix, Inc. User-assisted identification of location conditions
PL2610815T3 (en) * 2011-12-27 2015-10-30 Kapsch Trafficcom Ag Method for acquiring traffic flow data in a street network
DE102012204306A1 (en) * 2012-03-19 2013-09-19 Bayerische Motoren Werke Aktiengesellschaft A method of controlling provision of traffic information data for updating traffic information
US20130261939A1 (en) 2012-04-01 2013-10-03 Zonar Systems, Inc. Method and apparatus for matching vehicle ecu programming to current vehicle operating conditions
CN103632542A (en) * 2012-08-27 2014-03-12 国际商业机器公司 Traffic information processing method, device and corresponding equipment
CN103578274B (en) * 2013-11-15 2015-11-04 北京四通智能交通系统集成有限公司 A kind of traffic flow forecasting method and device
US10424036B2 (en) * 2014-06-02 2019-09-24 Uber Technologies, Inc. Maintaining data for use with a transport service during connectivity loss between systems
US9551588B2 (en) 2014-08-29 2017-01-24 The Nielsen Company, LLC Methods and systems to determine consumer locations based on navigational voice cues
US9430944B2 (en) * 2014-11-12 2016-08-30 GM Global Technology Operations LLC Method and apparatus for determining traffic safety events using vehicular participative sensing systems
DE102016216602B4 (en) * 2016-09-02 2020-02-06 Audi Ag Method for assisting a user in operating a motor vehicle and data server device external to the motor vehicle
US10026314B1 (en) * 2017-01-19 2018-07-17 GM Global Technology Operations LLC Multi-vehicle sensor sharing
US10733877B2 (en) * 2017-11-30 2020-08-04 Volkswagen Ag System and method for predicting and maximizing traffic flow
CN108257382A (en) * 2018-01-11 2018-07-06 上海应用技术大学 Intersection congestion key point finding method and system based on correlation analysis
EP3744056A4 (en) * 2018-01-26 2021-10-20 Opanga Networks, Inc. Systems and methods for identifying candidate flows in data packet networks
EP3700108B1 (en) * 2019-02-20 2023-08-09 Volkswagen Aktiengesellschaft Method for supporting a first mobile station to predict the channel quality for a planned decentralized wireless communication to a communication partner station und mobile station
CN109741604A (en) * 2019-03-05 2019-05-10 南通大学 Based on tranquilization shot and long term memory network model prediction intersection traffic method of flow
FR3116144B1 (en) 2020-11-10 2022-10-14 Ifp Energies Now Method for determining a number of vehicle passages on at least one road portion of a road network
CN113313937B (en) * 2021-04-14 2022-05-06 交通运输部规划研究院 Road network traffic flow dynamic simulation method based on land utilization information

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2268088A (en) * 1987-08-25 1989-03-31 Elin-Union Aktiengesellschaft Fur Elektrische Industrie Improved road traffic-control system
GB8826624D0 (en) * 1988-11-14 1988-12-21 Martell D K Traffic congestion monitoring system
FR2642875B1 (en) * 1989-02-03 1994-02-18 Urba 2000 INFORMATION COLLECTION AND DISSEMINATION SYSTEM FOR MOTORISTS
US5164904A (en) * 1990-07-26 1992-11-17 Farradyne Systems, Inc. In-vehicle traffic congestion information system
US5132684A (en) * 1991-02-11 1992-07-21 Pecker Edwin A Traffic information system
DE4105809A1 (en) * 1991-02-23 1992-09-03 Industrieanlagen Betriebsges Dynamic analysis of road traffic flow - using video camera mounted over junction to provide input to computer to generate statistical data for optimising flow
KR920022001A (en) * 1991-05-27 1992-12-19 프레데릭 얀 스미트 Traffic information collection method and system for performing this method
DE4241408C2 (en) * 1992-12-09 2001-10-18 Joerg Scholz Method and device for controlling traffic volume
US5465289A (en) * 1993-03-05 1995-11-07 E-Systems, Inc. Cellular based traffic sensor system
JPH0727568A (en) * 1993-07-09 1995-01-27 Zanabui Informatics:Kk Path guiding device and path searching method
US5539645A (en) * 1993-11-19 1996-07-23 Philips Electronics North America Corporation Traffic monitoring system with reduced communications requirements
US5610821A (en) * 1994-11-18 1997-03-11 Ibm Corporation Optimal and stable route planning system

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7944345B2 (en) 2001-09-11 2011-05-17 Zonar Systems, Inc. System and process to ensure performance of mandated safety and maintenance inspections
US8106757B2 (en) 2001-09-11 2012-01-31 Zonar Systems, Inc. System and process to validate inspection data
US8400296B2 (en) 2001-09-11 2013-03-19 Zonar Systems, Inc. Method and apparatus to automate data collection during a mandatory inspection
US8810385B2 (en) 2001-09-11 2014-08-19 Zonar Systems, Inc. System and method to improve the efficiency of vehicle inspections by enabling remote actuation of vehicle components
US8972179B2 (en) 2006-06-20 2015-03-03 Brett Brinton Method and apparatus to analyze GPS data to determine if a vehicle has adhered to a predetermined route
US9230437B2 (en) 2006-06-20 2016-01-05 Zonar Systems, Inc. Method and apparatus to encode fuel use data with GPS data and to analyze such data
US10665040B2 (en) 2010-08-27 2020-05-26 Zonar Systems, Inc. Method and apparatus for remote vehicle diagnosis
US11080950B2 (en) 2010-08-27 2021-08-03 Zonar Systems, Inc. Cooperative vehicle diagnosis system
US10600096B2 (en) 2010-11-30 2020-03-24 Zonar Systems, Inc. System and method for obtaining competitive pricing for vehicle services
US8736419B2 (en) 2010-12-02 2014-05-27 Zonar Systems Method and apparatus for implementing a vehicle inspection waiver program
US10706647B2 (en) 2010-12-02 2020-07-07 Zonar Systems, Inc. Method and apparatus for implementing a vehicle inspection waiver program
CN106327870A (en) * 2016-09-07 2017-01-11 武汉大学 Traffic flow distribution estimation and camera layout optimization method in traffic large data collection

Also Published As

Publication number Publication date
US5812069A (en) 1998-09-22
DE59609937D1 (en) 2003-01-16
ATE229211T1 (en) 2002-12-15
DE19526148A1 (en) 1997-02-06
DE19526148C2 (en) 1997-06-05
EP0755039A3 (en) 1997-01-29
EP0755039A2 (en) 1997-01-22

Similar Documents

Publication Publication Date Title
EP0755039B1 (en) Method and system for the prognosis of traffic flow
EP1006503B1 (en) Parking area acquisition
DE60319993T2 (en) DEVICE AND METHOD FOR TRANSPORT INFORMATION PROCESSING
EP0752692B1 (en) Method and system for updating digital road maps
DE60201075T2 (en) TRAFFIC CONTROL SYSTEM WITH ROAD USE CHARGES DEPENDING ON THE STREAMING STAGE OF THE ROADS
EP1198696B1 (en) Method and device for transmitting navigational information from a central data unit to a navigation system, located in a motor-vehicle
DE102012213048B4 (en) Apparatus for updating a driving time estimate
EP1628274B1 (en) Method and system for providing traffic information and controlling traffic
DE19606258C1 (en) Vehicle autonomous traffic jam detection method
DE60301744T2 (en) Local display system
DE19724919A1 (en) Method for generating, merging and updating data usable in a route guidance system
EP0789343B1 (en) Traffic information selection
EP1449174B1 (en) Detection system for surface areas for detecting vehicles with a gps
DE19742414A1 (en) Process for updating and / or supplementing a digital road map of a transport network and arrangements for carrying out the process
EP1466140B1 (en) Method for determining a travel time
EP1397643B1 (en) Method for generating navigating data for route guidance and navigation system
EP2224408B1 (en) Traffic detection system
DE602005004172T2 (en) Method and system for estimating an arrival time of a public transport along certain points of its route
EP2131152B1 (en) Navigation system and method for operating the same
DE10063588A1 (en) Determining traffic information for motor vehicle by passive reception of data transmitted from control center to unspecified subscribers using e.g. cell broadcast or DAB
WO2020165034A1 (en) Concept for providing parking space availability information
WO2015107056A1 (en) Concept for evaluating control information based on a position, method for controlling a moving object, and information system
DE19534589A1 (en) Route planning method and system
DE19524949A1 (en) Traffic information system for vehicles
DE10234367B3 (en) Traffic situation imaging method for traffic flow organization system uses correlation of flow lines dependent on measured traffic parameters

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

PUAL Search report despatched

Free format text: ORIGINAL CODE: 0009013

AK Designated contracting states

Kind code of ref document: A2

Designated state(s): AT BE CH DE ES FI FR GB IT LI NL PT SE

AK Designated contracting states

Kind code of ref document: A3

Designated state(s): AT BE CH DE ES FI FR GB IT LI NL PT SE

17P Request for examination filed

Effective date: 19970424

17Q First examination report despatched

Effective date: 20000302

GRAG Despatch of communication of intention to grant

Free format text: ORIGINAL CODE: EPIDOS AGRA

RAP1 Party data changed (applicant data changed or rights of an application transferred)

Owner name: VODAFONE AG

GRAG Despatch of communication of intention to grant

Free format text: ORIGINAL CODE: EPIDOS AGRA

GRAH Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOS IGRA

GRAH Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOS IGRA

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): AT BE CH DE ES FI FR GB IT LI NL PT SE

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: NL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20021204

Ref country code: IT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT;WARNING: LAPSES OF ITALIAN PATENTS WITH EFFECTIVE DATE BEFORE 2007 MAY HAVE OCCURRED AT ANY TIME BEFORE 2007. THE CORRECT EFFECTIVE DATE MAY BE DIFFERENT FROM THE ONE RECORDED.

Effective date: 20021204

Ref country code: FI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20021204

REF Corresponds to:

Ref document number: 229211

Country of ref document: AT

Date of ref document: 20021215

Kind code of ref document: T

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

Free format text: NOT ENGLISH

REG Reference to a national code

Ref country code: CH

Ref legal event code: NV

Representative=s name: E. BLUM & CO. PATENTANWAELTE

Ref country code: CH

Ref legal event code: EP

GBT Gb: translation of ep patent filed (gb section 77(6)(a)/1977)

Effective date: 20021204

REF Corresponds to:

Ref document number: 59609937

Country of ref document: DE

Date of ref document: 20030116

ET Fr: translation filed
PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20030304

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: PT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20030305

NLV1 Nl: lapsed or annulled due to failure to fulfill the requirements of art. 29p and 29m of the patents act
RAP2 Party data changed (patent owner data changed or rights of a patent transferred)

Owner name: VODAFONE HOLDING GMBH

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: ES

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20030627

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: BE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20030630

PLBE No opposition filed within time limit

Free format text: ORIGINAL CODE: 0009261

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT

26N No opposition filed

Effective date: 20030905

BERE Be: lapsed

Owner name: *VODAFONE A.G.

Effective date: 20030630

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: GB

Payment date: 20040528

Year of fee payment: 9

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: CH

Payment date: 20040602

Year of fee payment: 9

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: AT

Payment date: 20040603

Year of fee payment: 9

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: FR

Payment date: 20040609

Year of fee payment: 9

REG Reference to a national code

Ref country code: FR

Ref legal event code: CJ

Ref country code: FR

Ref legal event code: CD

REG Reference to a national code

Ref country code: GB

Ref legal event code: 732E

REG Reference to a national code

Ref country code: FR

Ref legal event code: TP

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: GB

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20050626

Ref country code: AT

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20050626

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: LI

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20050630

Ref country code: CH

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20050630

REG Reference to a national code

Ref country code: CH

Ref legal event code: PL

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: FR

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20060228

GBPC Gb: european patent ceased through non-payment of renewal fee

Effective date: 20050626

REG Reference to a national code

Ref country code: FR

Ref legal event code: ST

Effective date: 20060228

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: DE

Payment date: 20150619

Year of fee payment: 20

REG Reference to a national code

Ref country code: DE

Ref legal event code: R071

Ref document number: 59609937

Country of ref document: DE