EP0944890A1 - Process for completing and/or verifying data concerning the state of a road network; traffic information centre - Google Patents
Process for completing and/or verifying data concerning the state of a road network; traffic information centreInfo
- Publication number
- EP0944890A1 EP0944890A1 EP97953622A EP97953622A EP0944890A1 EP 0944890 A1 EP0944890 A1 EP 0944890A1 EP 97953622 A EP97953622 A EP 97953622A EP 97953622 A EP97953622 A EP 97953622A EP 0944890 A1 EP0944890 A1 EP 0944890A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- data
- traffic
- time
- measurement data
- relating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
Definitions
- the invention relates to a method for completing and / or verifying data relating to the state of a traffic network.
- a traffic center generates traffic reports relating to the current status or a future status of the traffic network on the basis of stationary ones
- Measurement data measured at specific positions in the traffic network in particular average speed, number of vehicles, vehicle density
- FCD mobile detectors
- the measurement data available to the traffic center are not nationwide with regard to the traffic network; Measurement data measured by mobile detectors in motor vehicles is not available where there are no motor vehicles with mobile detectors.
- Measurement data from stationary detectors are only available where stationary detectors are located, are in operation and have just transmitted measurement data, the transmission of measurement data, for example in the case of detectors operated with solar energy, being able to take place only at relatively large time intervals. Due to the incompleteness of the area coverage, verification with regard to errors is difficult and the quality of the traffic reports created is less than optimal.
- the object of the present invention is a simple, inexpensive, efficient optimization of the generation of a traffic report relating to a current or a future state of the traffic network.
- the object is solved by the subject matter of the independent claims.
- a curve is, for example, the traffic density curve on Mondays etc.
- a direct feedback is particularly important when interpolating or taking into account movements of vehicles in the system, whereby this model component can check after each time step whether an assumption made based on data from a sensor about a traffic condition downstream in traffic is consistent with the data arriving there .
- Traffic network concern taking into account relationships between derived quantities and quantities relating to measurement data.
- feedback of status data relating to past times and of forecast data calculated at past times for completing and / or verifying status data relating to the current status can be carried out indirectly by completing and / or verifying measurement data or / and by at least partially passing through into a basic component with measurement data feedback status data and / or forecast data into a model component provided for the status data calculation.
- Forecasts about the state of a traffic network are also created in a forecast component of the traffic control center A future point in time is hereby optimized if it takes place on the basis of completed and / or verified measurement data and / or on the basis of completed and / or verified status data.
- the current state of a traffic network can be calculated from measurement data measured up to the current time and from one or more traffic conditions of the traffic network at past times. Different process components can be used alternatively or side by side for verification and / or further completion using the possibly completed or verified measurement data.
- a flow model and / or fuzzy logic and / or a fault behavior detection and / or a domain model sub-method for determining the current state of the traffic network is particularly expedient.
- To create a forecast relating to a future point in time previous states and / or state data relating to the current state, possibly completed or verified state data and / or previously measured, additionally or instead completed or verified measurement data (which can be obtained from the model component as from a multiplexer) the forecast component can be passed through) can be used.
- the historical database which can be assigned to the basic component in a traffic control center, is continuously updated in the traffic control center with measurement data and / or status data.
- the historical database can, in particular, show temporal courses of measurement data and / or
- Such curve data can in particular contain temporal courses of measurement data and / or states over the course of a day of the week; fluctuations over the course of a year may also be saved.
- a program for implementing the method according to the invention can be implemented in a traffic control center. Further features and advantages of the invention result from the following description of an exemplary embodiment with reference to the drawing. It shows:
- Fig. 1 schematically on a road vehicles with mobile
- Fig. 2 as a rough block diagram of a traffic center incoming, fed back, processed and output data
- vehicles 2, 3 with detectors 4, 5 and vehicles 6, 7, 8 without detectors are driving on a road 1 (for example the A8 motorway).
- the detectors 4, 5 in vehicles for example, determine their vehicle positions with GPS and theirs
- the traffic control center 9 uses measured data 12, 13 to generate traffic reports relating to the current state of a traffic network, such as current traffic jam reports, current travel time reports and traffic forecasts for future times, such as expected traffic jams etc., and sends (14 )
- Traffic status reports and traffic forecast reports via radio, radio, mobile radio etc. to participants.
- FIG. 2 illustrates the improvement according to the invention of traffic reports on the current traffic condition and / or of traffic forecasts by multiple feedback of data of different types in the traffic center 9 shown in FIG. 2.
- the traffic center 9 continuously receives as input values measurement data 12 (represented by the data container) and measurement data 13 (represented by the data container STD) from stationary detectors at a large number of locations in the transport network.
- the measurement data 12, 13 are continuously stored in the program and database component BAS 15 of the traffic control center 9 in a historical database with time reference of the measurement data 12, 13.
- BAS contains measurement data from past times until shortly before the current time.
- BAS 15 can store measurement data 12, 13 that have just been measured and / or measurement data from the historical database in 15 at past times as a multiplexer or
- the model component 16 calculates (17 to 20) current traffic conditions of the traffic network at different locations in the traffic network.
- State data relating to states at past times can be stored in the model component 16 or in the basic component 15.
- Status data 21 relating to the current traffic condition can be transferred from the model component to the base component 15 or from the model component via the base component 15 to the model component 16 (immediately or with a time delay via a historical database) for completion and / or
- Verification of status data and / or measurement data are fed back 30.
- the feedback of measurement data is shown here as a cyclical feedback 30 to the basic component 15 for completing measurement data.
- traffic reports 23 about the current traffic condition of the traffic network can be transmitted at one or more locations
- the status data of at least the current point in time possibly also at past points in time and possibly measurement data transferred or measured from a historical database (which are transferred from the basic component) are used in the forecast component 25 of the traffic control center 9 to provide a traffic forecast Generate traffic network for at least one future point in time (26, 27, 28) and output it as traffic forecast data 29.
- forecast data 29 created at a past point in time for a point in time lying in the future with respect to this past point in time are fed back 22 by the forecasting component 25 for the completion and / or verification of data.
- it is possible to pass on the traffic forecasts created at past times which can thus relate to the current time, for example, from the base component 15 to the model component 16.
- forecast data 29 can be used to complete and / or verify measurement data and / or status data at the current time.
- Feedback data 29 to be fed back or to be fed back can be stored in the forecast component 25 in a buffer (not shown) or in the base component 15 in a historical database.
- status data 21 are multiplexed via the base component 15 via a buffer (not shown) or directly back into the model component 16, this can be referred to as a direct feedback 31.
- the feedback of forecast data and status data enables the completion and / or verification of measurement data and / or status data, which optimizes both traffic reports 23 and traffic forecasts 29.
- Different methods can be used to generate traffic forecasts 29 on the basis of status data 21 at the current and possibly at times in the model component 16 and possibly additionally on measurement data at the current or at times.
- Microscopic methods 26, mesoscopic 27 or macroscopic 28 methods are particularly suitable for producing traffic forecasts. Possibly.
- Several of the methods 26 to 28 can also run side by side and the forecast data obtained can be completed and / or verified.
Abstract
Description
Claims
Applications Claiming Priority (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE19653689 | 1996-12-16 | ||
DE19653689 | 1996-12-16 | ||
DE1965368 | 1996-12-16 | ||
DE1975448 | 1997-11-27 | ||
DE19754483A DE19754483A1 (en) | 1996-12-16 | 1997-11-27 | Method for completing and / or verifying data relating to the state of a traffic network; Traffic control center |
DE19754483 | 1997-11-27 | ||
PCT/DE1997/002869 WO1998027525A1 (en) | 1996-12-16 | 1997-12-01 | Process for completing and/or verifying data concerning the state of a road network; traffic information centre |
Publications (2)
Publication Number | Publication Date |
---|---|
EP0944890A1 true EP0944890A1 (en) | 1999-09-29 |
EP0944890B1 EP0944890B1 (en) | 2004-10-13 |
Family
ID=26032620
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP97953622A Expired - Lifetime EP0944890B1 (en) | 1996-12-16 | 1997-12-01 | Process for completing and/or verifying data concerning the state of a road network; traffic information centre |
Country Status (5)
Country | Link |
---|---|
US (1) | US6236932B1 (en) |
EP (1) | EP0944890B1 (en) |
AT (1) | ATE279765T1 (en) |
ES (1) | ES2226009T3 (en) |
WO (1) | WO1998027525A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1249809A1 (en) * | 2001-04-13 | 2002-10-16 | Regie Autonome des Transports Parisiens RATP | Traffic conditions determination method and arrangement on a road network |
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DE19914041A1 (en) * | 1999-03-27 | 2000-09-28 | Bosch Gmbh Robert | Procedure for informing motorists |
DE19935769C2 (en) * | 1999-07-23 | 2002-02-07 | Ddg Ges Fuer Verkehrsdaten Mbh | Traffic condition forecast through feedback cascade |
US6615130B2 (en) | 2000-03-17 | 2003-09-02 | Makor Issues And Rights Ltd. | Real time vehicle guidance and traffic forecasting system |
US6480783B1 (en) | 2000-03-17 | 2002-11-12 | Makor Issues And Rights Ltd. | Real time vehicle guidance and forecasting system under traffic jam conditions |
DE10036789A1 (en) | 2000-07-28 | 2002-02-07 | Daimler Chrysler Ag | Method for determining the traffic condition in a traffic network with effective bottlenecks |
US6587781B2 (en) * | 2000-08-28 | 2003-07-01 | Estimotion, Inc. | Method and system for modeling and processing vehicular traffic data and information and applying thereof |
US7433889B1 (en) | 2002-08-07 | 2008-10-07 | Navteq North America, Llc | Method and system for obtaining traffic sign data using navigation systems |
US7499949B2 (en) * | 2002-08-07 | 2009-03-03 | Navteq North America, Llc | Method and system for obtaining recurring delay data using navigation systems |
JP4657728B2 (en) * | 2002-08-29 | 2011-03-23 | アイティス・ホールディングス・ピーエルシー | Apparatus and method for providing traffic information |
US7620402B2 (en) * | 2004-07-09 | 2009-11-17 | Itis Uk Limited | System and method for geographically locating a mobile device |
US7448854B2 (en) * | 2004-08-30 | 2008-11-11 | Lord Corporation | Helicopter vibration control system and rotary force generator for canceling vibrations |
US7908080B2 (en) | 2004-12-31 | 2011-03-15 | Google Inc. | Transportation routing |
US9047765B2 (en) * | 2005-06-30 | 2015-06-02 | Marvell World Trade Ltd. | 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 |
US20070005228A1 (en) * | 2005-06-30 | 2007-01-04 | Sehat Sutardja | GPS-based traffic monitoring system |
US8793066B2 (en) | 2006-06-27 | 2014-07-29 | Microsoft Corporation | Route monetization |
US7610151B2 (en) * | 2006-06-27 | 2009-10-27 | Microsoft Corporation | Collaborative route planning for generating personalized and context-sensitive routing recommendations |
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 |
US7706964B2 (en) * | 2006-06-30 | 2010-04-27 | Microsoft Corporation | Inferring road speeds for context-sensitive routing |
US7869936B2 (en) * | 2006-07-11 | 2011-01-11 | International Business Machines Corporation | Routing method and system |
WO2008032075A2 (en) * | 2006-09-12 | 2008-03-20 | Itis Holdings Plc | Apparatus and method for implementing a road pricing scheme |
US20090157498A1 (en) * | 2007-12-14 | 2009-06-18 | Microsoft Corporation | Generational intelligent navigation synchronization or update |
US20090157540A1 (en) * | 2007-12-14 | 2009-06-18 | Microsoft Corporation | Destination auctioned through business of interest |
US20090210242A1 (en) * | 2008-02-19 | 2009-08-20 | Microsoft Corporation | Load balance payment |
US20090210302A1 (en) * | 2008-02-19 | 2009-08-20 | Microsoft Corporation | Route reward augmentation |
US20090210142A1 (en) * | 2008-02-19 | 2009-08-20 | Microsoft Corporation | Safe route configuration |
US8718928B2 (en) * | 2008-04-23 | 2014-05-06 | Verizon Patent And Licensing Inc. | Traffic monitoring systems and methods |
GB0901588D0 (en) | 2009-02-02 | 2009-03-11 | Itis Holdings Plc | Apparatus and methods for providing journey information |
GB2492369B (en) | 2011-06-29 | 2014-04-02 | Itis Holdings Plc | Method and system for collecting traffic data |
CN103093625B (en) * | 2013-01-09 | 2015-01-14 | 杭州师范大学 | City road traffic condition real-time estimation method based on reliability verification |
CN108492560A (en) * | 2018-04-04 | 2018-09-04 | 东南大学 | A kind of Road Detection device missing data complementing method and device |
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US5289183A (en) * | 1992-06-19 | 1994-02-22 | At/Comm Incorporated | Traffic monitoring and management method and apparatus |
JP3414843B2 (en) * | 1993-06-22 | 2003-06-09 | 三菱電機株式会社 | Transportation control device |
US5696503A (en) * | 1993-07-23 | 1997-12-09 | Condition Monitoring Systems, Inc. | Wide area traffic surveillance using a multisensor tracking system |
US5539645A (en) * | 1993-11-19 | 1996-07-23 | Philips Electronics North America Corporation | Traffic monitoring system with reduced communications requirements |
DE4408547A1 (en) * | 1994-03-14 | 1995-10-12 | Siemens Ag | Process for traffic detection and traffic situation detection on highways, preferably motorways |
DE19604083B4 (en) * | 1995-03-23 | 2006-06-29 | T-Mobile Deutschland Gmbh | Method for the parameterization of vehicle routes in vehicle control and / or information systems |
EP0740280B1 (en) * | 1995-04-28 | 1999-07-28 | INFORM Institut für Operations Research und Management GmbH | Disturbance detection method for road traffic |
DE19526148C2 (en) * | 1995-07-07 | 1997-06-05 | Mannesmann Ag | Method and system for forecasting traffic flows |
WO1997029471A1 (en) * | 1996-02-08 | 1997-08-14 | Mannesmann Ag | Process and device for obtaining traffic situation data |
JP3435623B2 (en) * | 1996-05-15 | 2003-08-11 | 株式会社日立製作所 | Traffic flow monitoring device |
-
1997
- 1997-12-01 WO PCT/DE1997/002869 patent/WO1998027525A1/en active IP Right Grant
- 1997-12-01 US US09/331,102 patent/US6236932B1/en not_active Expired - Lifetime
- 1997-12-01 AT AT97953622T patent/ATE279765T1/en not_active IP Right Cessation
- 1997-12-01 ES ES97953622T patent/ES2226009T3/en not_active Expired - Lifetime
- 1997-12-01 EP EP97953622A patent/EP0944890B1/en not_active Expired - Lifetime
Non-Patent Citations (1)
Title |
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See references of WO9827525A1 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1249809A1 (en) * | 2001-04-13 | 2002-10-16 | Regie Autonome des Transports Parisiens RATP | Traffic conditions determination method and arrangement on a road network |
FR2823588A1 (en) * | 2001-04-13 | 2002-10-18 | Regie Autonome Transports | METHOD AND SYSTEM FOR DETERMINING HABITUAL CIRCULATION CONDITIONS AND METHOD AND SYSTEM FOR INDICATING UNUSUAL TRAFFIC CONDITIONS |
Also Published As
Publication number | Publication date |
---|---|
ATE279765T1 (en) | 2004-10-15 |
ES2226009T3 (en) | 2005-03-16 |
WO1998027525A1 (en) | 1998-06-25 |
EP0944890B1 (en) | 2004-10-13 |
US6236932B1 (en) | 2001-05-22 |
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