EP0755039B1 - Verfahren und System zur Prognose von Verkehrsströmen - Google Patents
Verfahren und System zur Prognose von Verkehrsströmen Download PDFInfo
- 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
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Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems 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
- G08G1/096716—Systems 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
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/096741—Systems 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096775—Systems 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.
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
- Mobile Radio Communication Systems (AREA)
Description
- Stichprobenfahrzeugflotte
- 10
- Fahrzeuge
- 11
- Fahraktivitätssensoren
- 20
- Verkehrsrechner
- 30
- Empfangseinheit
- 31
Claims (13)
- Verfahren zur Prognose der Verkehrsströme 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,wobei die Fahrzeuge einer Stichprobenfahrzeugflotte ständig die aktuelle Ortsposition ermitteln und als Fahrtroutendaten der zurückgelegten Fahrtroute speichern undmindestens ein Teil der Fahrzeuge in Abständen ihre Fahrtroutendaten an den Verkehrsrechner übertragen,der Verkehrsrechner aus den Fahrtroutendaten die Verkehrsstromdaten bestimmt, den ausgewählten Orten oder Streckenabschnitten diese Verkehrsstromdaten zuordnet und zur Ermittlung und/oder Aktualisierung statistischer Verkehrsstromdaten als zeitabhängige Erfahrungswerte verwendet,in einem vorgegebenen größeren räumlichen Bereich um die ausgewählten Orte oder Streckenabschnitte herum aktuelle Fahraktivitätsdaten von beweglichen oder ortsfesten Fahraktivitätssensoren erfasst und an den Verkehrsrechner übertragen werden undder Verkehrsrechner ausgehend von den, in dem vorgegebenen größeren räumlichen Bereich um die ausgewählten Orte oder Streckenabschnitte herum erfassten Fahraktivitätsdaten die Verkehrsströme an den ausgewählten Orten oder Streckenabschnitten durch Extrapolation der zugeordneten Verkehrsstromdaten unter Berücksichtigung der zeitabhängigen Erfahrungswerte prognostiziert.
- Verfahren nach Anspruch 1,
dadurch gekennzeichnet, daß die Fahrtroutendaten der zurückgelegten Fahrtroute vor der Übertragung an den Verkehrsrechner in reduzierter Form übertragen werden. - Verfahren nach Anspruch 1 oder 2,
dadurch gekennzeichnet, daß der Verkehrsrechner die Ermittlung und/oder Aktualisierung statistischer Verkehrsstromdaten in Abhängigkeit von vorgegebenen Parametern durchführt. - Verfahren nach einem der Ansprüche 1 bis 3,
dadurch gekennzeichnet, daß die Fahrtroutendaten der zurückgelegten Fahrtroute und die Fahraktivitätsdaten nach Aufforderung durch den Verkehrsrechner an diesen übertragen werden. - Verfahren nach einem der Ansprüche 1 bis 4,
dadurch gekennzeichnet, daß die aktuellen Fahraktivitätsdaten den Betriebszustand eines Fahrzeugs anzeigen. - Verfahren nach einem der Ansprüche 1 bis 5,
dadurch gekennzeichnet, daß die Fahraktivitätsdaten durch Abfrage und Auswertung der Aktivität von Mobilfunk-Telefonnetzen erfaßt werden. - Verfahren nach einem der Ansprüche 1 bis 6,
dadurch gekennzeichnet, daß der räumliche Bereich, in dem die Fahraktivitäten erfaßt werden, in Abhängigkeit von der Besiedlungsdichte vorgegeben wird. - System zur Durchführung des Verfahrens nach Anspruch 1, enthaltend Fahrzeuge (11) einer Stichprobenfahrzeugflotte (10), die Mittel aufweisen zur Bestimmung der aktuellen Ortsposition, zur Speicherung mindestens der Ortspositionen als Fahrtroutendaten und zur Übertragung der Fahrtroutendaten an eine unabhängig von den Fahrzeugen (11) angeordnete Empfangseinheit (31), ferner räumlich verteilt angeordnete Fahraktivitätssensoren (20), die Mittel aufweisen zur Übertragung der erfaßten Fahraktivitätsdaten an die Empfangseinheit (31), und
einen Verkehrsrechner (30), der eine digitale Straßenkarte sowie einen elektronischen Speicher zur Speicherung von Daten aufweist und mit der Empfangseinheit (31) zum Empfang der von den Fahrzeugen (11) der Stichprobenfahrzeugflotte (10) und den Fahraktivitätssensoren (20) übertragenen Daten verbunden ist. - System nach Anspruch 8,
dadurch gekennzeichnet, daß die Fahrzeuge (11) zur Bestimmung der aktuellen Ortsposition einen Empfänger für Signale von Navigations-Satelliten-Systemen aufweisen. - System nach Anspruch 8 oder 9,
dadurch gekennzeichnet, daß der Verkehrsrechner (30) eine Sendeeinheit zum Senden und die Fahraktivitätssensoren (20) eine Empfangseinrichtung zum Empfang von Anforderungen des Verkehrsrechners zur Datenübertragung aufweisen. - System nach einem der Ansprüche 8 bis 10,
dadurch gekennzeichnet, daß die Fahrzeuge (11) der Stichprobenfahrzeugflotte (10 )eine Empfangseinrichtung zum Empfang von Anforderungen des Verkehrsrechners zur Datenübertragung aufweisen. - System nach einem der Ansprüche 8 bis 11,
dadurch gekennzeichnet, daß als Fahraktivitätssensoren (20) die Betriebsbereitschaftsanzeige von Mobilfunktelefonen in einer Vielzahl von Fahrzeugen verwendet werden. - System nach Anspruch 8,
dadurch gekennzeichnet, daß die Fahrzeuge (11) einen Sensor zur Erfassung der momentanen Fahrzeuggeschwindigkeit aufweisen.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE19526148 | 1995-07-07 | ||
DE19526148A DE19526148C2 (de) | 1995-07-07 | 1995-07-07 | Verfahren und System zur Prognose von Verkehrsströmen |
Publications (3)
Publication Number | Publication Date |
---|---|
EP0755039A2 EP0755039A2 (de) | 1997-01-22 |
EP0755039A3 EP0755039A3 (de) | 1997-01-29 |
EP0755039B1 true EP0755039B1 (de) | 2002-12-04 |
Family
ID=7767121
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP96250138A Expired - Lifetime EP0755039B1 (de) | 1995-07-07 | 1996-06-26 | Verfahren und System zur Prognose von Verkehrsströmen |
Country Status (4)
Country | Link |
---|---|
US (1) | US5812069A (de) |
EP (1) | EP0755039B1 (de) |
AT (1) | ATE229211T1 (de) |
DE (2) | DE19526148C2 (de) |
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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 |
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Families Citing this family (109)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1996029688A1 (de) † | 1995-03-23 | 1996-09-26 | Detemobil Deutsche Telekom Mobilnet Gmbh | Verfahren und einrichtung zur ermittlung von dynamischen verkehrsinformationen |
US6236932B1 (en) * | 1996-12-16 | 2001-05-22 | Mannesmann Ag | Process for completing and/or verifying data concerning the state of a road network; traffic information centre |
WO1998035331A1 (de) * | 1997-02-06 | 1998-08-13 | Mannesmann Ag | Übermittlung gebietsbezogener verkehrsinformationen |
EP0960411B1 (de) * | 1997-02-14 | 2002-06-19 | Vodafone AG | Verfahren zur bestimmung von verkehrsdaten und verkehrsinformationszentrale |
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DE19724919A1 (de) | 1997-06-12 | 1999-01-07 | Adolph Michael Dr | Verfahren zum Erzeugen, Verschmelzen und Aktualisieren von in einem Zielführungssystem nutzbaren Daten |
US6133853A (en) * | 1998-07-30 | 2000-10-17 | American Calcar, Inc. | Personal communication and positioning system |
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US6047234A (en) | 1997-10-16 | 2000-04-04 | Navigation Technologies Corporation | System and method for updating, enhancing or refining a geographic database using feedback |
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DE19858477B4 (de) * | 1998-12-17 | 2004-12-02 | Siemens Ag | Verfahren zum Ermitteln von Verkehrsinformationen |
US6754485B1 (en) * | 1998-12-23 | 2004-06-22 | American Calcar Inc. | Technique for effectively providing maintenance and information to vehicles |
DE19904909C2 (de) * | 1999-02-06 | 2003-10-30 | Daimler Chrysler Ag | Verfahren und Vorrichtung zur Bereitstellung von Verkehrsinformationen |
NL1011501C2 (nl) * | 1999-03-09 | 2000-09-12 | Wiebren De Jonge | Het Traffic Information & Pricing (TIP) systeem. |
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 (ja) | 1999-08-27 | 2003-12-22 | 松下電器産業株式会社 | デジタル地図の位置情報伝達方法 |
DE19940957C2 (de) * | 1999-08-28 | 2001-10-18 | Daimler Chrysler Ag | Verkehrsprognoseverfahren für ein Verkehrsnetz mit verkehrsgeregelten Netzknoten |
US6490519B1 (en) * | 1999-09-27 | 2002-12-03 | Decell, Inc. | Traffic monitoring system and methods for traffic monitoring and route guidance useful therewith |
DE10013603C1 (de) * | 2000-03-18 | 2001-11-22 | Daimler Chrysler Ag | Verfahren zur Bereitstellung von Verkehrsinformationen |
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US6381537B1 (en) | 2000-06-02 | 2002-04-30 | Navigation Technologies Corp. | Method and system for obtaining geographic data using navigation systems |
DE10036789A1 (de) * | 2000-07-28 | 2002-02-07 | Daimler Chrysler Ag | Verfahren zur Bestimmung des Verkehrszustands in einem Verkehrsnetz mit effektiven Engstellen |
KR100349010B1 (ko) * | 2000-08-28 | 2002-08-14 | 모빌토크(주) | 무선 인터넷 기반의 이동통신단말기를 이용한 실시간 교통정보 제공 방법 |
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 (ja) | 2000-12-08 | 2012-10-03 | パナソニック株式会社 | デジタル地図の位置情報伝達方法とそれに使用する装置 |
JP4663136B2 (ja) | 2001-01-29 | 2011-03-30 | パナソニック株式会社 | デジタル地図の位置情報伝達方法と装置 |
JP4464045B2 (ja) * | 2001-02-09 | 2010-05-19 | ジョゼフ・ミンツ | テレマティック及びルートガイダンスアプリケーションに関する交通予想をマッピングするために改良された方法及びシステム |
JP4230132B2 (ja) | 2001-05-01 | 2009-02-25 | パナソニック株式会社 | デジタル地図の形状ベクトルの符号化方法と位置情報伝達方法とそれを実施する装置 |
US6560532B2 (en) * | 2001-05-25 | 2003-05-06 | Regents Of The University Of California, The | Method and system for electronically determining dynamic traffic information |
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 |
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 |
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 (ja) * | 2002-03-27 | 2007-10-17 | 松下電器産業株式会社 | 道路情報提供システム及び装置と道路情報生成方法 |
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 (ko) * | 2003-07-14 | 2006-04-24 | 에스케이 텔레콤주식회사 | 이동 단말기의 과금정보를 이용한 교통정보 획득방법 |
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 (ja) * | 2005-03-09 | 2009-09-09 | 株式会社日立製作所 | 交通情報システム |
US8370054B2 (en) | 2005-03-24 | 2013-02-05 | Google Inc. | User location driven identification of service vehicles |
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 |
US20070005228A1 (en) * | 2005-06-30 | 2007-01-04 | Sehat Sutardja | GPS-based traffic monitoring system |
EP1742191B1 (de) * | 2005-06-30 | 2011-07-06 | Marvell World Trade Ltd. | Verkehrsüberwachungssystem auf GPS-Basis |
JP4367431B2 (ja) | 2005-10-26 | 2009-11-18 | トヨタ自動車株式会社 | 車両用運転支援システム |
US7469827B2 (en) | 2005-11-17 | 2008-12-30 | Google Inc. | Vehicle information systems and methods |
DE102006000643A1 (de) * | 2006-01-03 | 2007-07-05 | Robert Bosch Gmbh | Verfahren zur Übertragung von Routeninformationen |
US8306556B2 (en) * | 2006-02-08 | 2012-11-06 | Telenav, Inc. | Intelligent real-time distributed traffic sampling and navigation system |
JP2007264628A (ja) * | 2006-03-28 | 2007-10-11 | Samsung Sdi Co Ltd | フィルタ、それを備えたディスプレイ装置及びその製造方法 |
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 |
US7610151B2 (en) * | 2006-06-27 | 2009-10-27 | Microsoft Corporation | Collaborative route planning for generating personalized and context-sensitive routing recommendations |
US8793066B2 (en) | 2006-06-27 | 2014-07-29 | Microsoft Corporation | Route monetization |
US7706964B2 (en) * | 2006-06-30 | 2010-04-27 | Microsoft Corporation | Inferring road speeds for context-sensitive routing |
US7739040B2 (en) | 2006-06-30 | 2010-06-15 | Microsoft Corporation | Computation of travel routes, durations, and plans over multiple contexts |
US8126641B2 (en) * | 2006-06-30 | 2012-02-28 | Microsoft Corporation | Route planning with contingencies |
US7617042B2 (en) | 2006-06-30 | 2009-11-10 | Microsoft Corporation | Computing and harnessing inferences about the timing, duration, and nature of motion and cessation of motion with applications to mobile computing and communications |
US7869936B2 (en) * | 2006-07-11 | 2011-01-11 | International Business Machines Corporation | Routing method and system |
JP4950590B2 (ja) * | 2006-08-07 | 2012-06-13 | クラリオン株式会社 | 交通情報提供装置、交通情報提供システム、交通情報の送信方法、および交通情報の要求方法 |
WO2008045196A2 (en) * | 2006-10-09 | 2008-04-17 | Marvell World Trade Ltd. | Gps-based traffic monitoring system |
JP4729469B2 (ja) * | 2006-11-10 | 2011-07-20 | 日立オートモティブシステムズ株式会社 | 交通情報システム |
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 (ja) * | 2007-09-11 | 2010-09-22 | 日立オートモティブシステムズ株式会社 | 交通状況予測装置,交通状況予測方法 |
US20090157498A1 (en) * | 2007-12-14 | 2009-06-18 | Microsoft Corporation | Generational intelligent navigation synchronization or update |
US20090157540A1 (en) * | 2007-12-14 | 2009-06-18 | Microsoft Corporation | Destination auctioned through business of interest |
US20090210242A1 (en) * | 2008-02-19 | 2009-08-20 | Microsoft Corporation | Load balance payment |
US20090210302A1 (en) * | 2008-02-19 | 2009-08-20 | Microsoft Corporation | Route reward augmentation |
US20090210142A1 (en) * | 2008-02-19 | 2009-08-20 | Microsoft Corporation | Safe route configuration |
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 |
US8542097B2 (en) | 2011-04-13 | 2013-09-24 | 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 (pl) * | 2011-12-27 | 2015-10-30 | Kapsch Trafficcom Ag | Urządzenie do określania danych strumienia ruchu drogowego w sieci drogowej |
DE102012204306A1 (de) * | 2012-03-19 | 2013-09-19 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren zur Steuerung eines Bereitstellens von Verkehrsinformationsdaten zur Aktualisierung einer Verkehrsinformation |
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 (zh) * | 2012-08-27 | 2014-03-12 | 国际商业机器公司 | 交通信息处理方法、装置和相应设备 |
CN103578274B (zh) * | 2013-11-15 | 2015-11-04 | 北京四通智能交通***集成有限公司 | 一种交通流预测方法及装置 |
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 (de) * | 2016-09-02 | 2020-02-06 | Audi Ag | Verfahren zum Unterstützen eines Benutzers beim Betreiben eines Kraftfahrzeugs und kraftfahrzeugexterne Datenservereinrichtung |
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 (zh) * | 2018-01-11 | 2018-07-06 | 上海应用技术大学 | 基于关联度分析的交叉口拥堵关键点寻找方法及*** |
CN111656740A (zh) * | 2018-01-26 | 2020-09-11 | 欧庞戈网络有限公司 | 用于识别数据分组网络中的候选流的***和方法 |
EP3700108B1 (de) * | 2019-02-20 | 2023-08-09 | Volkswagen Aktiengesellschaft | Verfahren zum unterstützen einer ersten mobilstation zum vorhersagen der kanalqualität für eine geplante dezentrale drahtlose kommunikation zu einer kommunikationspartnerstation und mobilstation |
CN109741604A (zh) * | 2019-03-05 | 2019-05-10 | 南通大学 | 基于平稳化长短期记忆网络模型预测交叉***通流量方法 |
FR3116144B1 (fr) | 2020-11-10 | 2022-10-14 | Ifp Energies Now | Procédé de détermination d’un nombre de passages de véhicules sur au moins une portion de route d’un réseau routier |
CN113313937B (zh) * | 2021-04-14 | 2022-05-06 | 交通运输部规划研究院 | 一种基于土地利用信息的路网交通流量动态模拟方法 |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1989002142A1 (en) * | 1987-08-25 | 1989-03-09 | Elin-Union Aktiengesellschaft Für Elektrische Indu | Improved road traffic-control system |
GB8826624D0 (en) * | 1988-11-14 | 1988-12-21 | Martell D K | Traffic congestion monitoring system |
FR2642875B1 (fr) * | 1989-02-03 | 1994-02-18 | Urba 2000 | Systeme de collecte et de diffusion d'informations pour automobilistes |
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 (de) * | 1991-02-23 | 1992-09-03 | Industrieanlagen Betriebsges | Dynamische verkehrsflussanalyse und -steuerung mittels bilderkennung |
KR920022001A (ko) * | 1991-05-27 | 1992-12-19 | 프레데릭 얀 스미트 | 교통 정보 수집 방법 및 이 방법을 수행하기 위한 시스템 |
DE4241408C2 (de) * | 1992-12-09 | 2001-10-18 | Joerg Scholz | Verfahren und Vorrichtung zur Steuerung des Verkehrsaufkommens |
US5465289A (en) * | 1993-03-05 | 1995-11-07 | E-Systems, Inc. | Cellular based traffic sensor system |
JPH0727568A (ja) * | 1993-07-09 | 1995-01-27 | Zanabui Informatics:Kk | 経路誘導装置および経路探索方法 |
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 |
-
1995
- 1995-07-07 DE DE19526148A patent/DE19526148C2/de not_active Expired - Fee Related
-
1996
- 1996-06-26 EP EP96250138A patent/EP0755039B1/de not_active Expired - Lifetime
- 1996-06-26 AT AT96250138T patent/ATE229211T1/de not_active IP Right Cessation
- 1996-06-26 DE DE59609937T patent/DE59609937D1/de not_active Expired - Lifetime
- 1996-07-08 US US08/677,615 patent/US5812069A/en not_active Expired - Fee Related
Cited By (13)
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---|---|---|---|---|
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US7944345B2 (en) | 2001-09-11 | 2011-05-17 | Zonar Systems, Inc. | System and process to ensure performance of mandated safety and maintenance inspections |
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 |
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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 |
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Also Published As
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EP0755039A2 (de) | 1997-01-22 |
US5812069A (en) | 1998-09-22 |
DE19526148A1 (de) | 1997-02-06 |
EP0755039A3 (de) | 1997-01-29 |
DE19526148C2 (de) | 1997-06-05 |
DE59609937D1 (de) | 2003-01-16 |
ATE229211T1 (de) | 2002-12-15 |
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