EP1061491A1 - Procédé de filtrage de données du trafic pour déterminer la vitesse sur les routes - Google Patents

Procédé de filtrage de données du trafic pour déterminer la vitesse sur les routes Download PDF

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Publication number
EP1061491A1
EP1061491A1 EP00250164A EP00250164A EP1061491A1 EP 1061491 A1 EP1061491 A1 EP 1061491A1 EP 00250164 A EP00250164 A EP 00250164A EP 00250164 A EP00250164 A EP 00250164A EP 1061491 A1 EP1061491 A1 EP 1061491A1
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EP
European Patent Office
Prior art keywords
traffic
road
values
speed
measured
Prior art date
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Granted
Application number
EP00250164A
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German (de)
English (en)
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EP1061491B1 (fr
Inventor
Claudius Dr.-Ing. Schnörr
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DDG Gesellschaft fuer Verkehrsdaten mbH
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DDG Gesellschaft fuer Verkehrsdaten mbH
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Publication of EP1061491A1 publication Critical patent/EP1061491A1/fr
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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

Definitions

  • the invention relates to a method and a traffic situation detection center for Determination of the average travel speed or travel time on at least one Road or a section of a road network.
  • Traffic conditions can change very quickly in road traffic. Because of a high volume of traffic in connection with individual driving behavior of road users, statistical fluctuations in the flow of traffic arise can already lead to severe traffic disruption. Add to that both static and dynamically changing boundary conditions in the form of Speed limits, changes in the number of lanes, Weather changes, gradients, construction sites etc. that lead to changes in the Contribute to traffic dynamics in a manner that is difficult to predict.
  • Such traffic impairments are presented to road users in the form of Traffic announcements brought across various information channels. In this way, they learn about the state of traffic, the location and length of a fault and can accordingly by choosing a different route or another Try to get to your destination as quickly as possible.
  • Route planning systems need the traffic situation in the form of current Take traffic information into account. For this come both traffic reports as well as determined travel speeds or travel times for road sections in Question. For a given route, knowledge of the prevailing Cruising speed also calculates the expected travel time for this route why these two quantities contain the same information and are interchangeable. Static route guidance systems that have no current information involve, work unsatisfactorily.
  • traffic domains e.g. congestion domains
  • This "Domain residual speeds" of traffic domains can also be used Service providers serve as a filter criterion for which traffic reports he still has wants to transmit to the road users or not.
  • the cruising speed is along a Route not recognizable. To do this, the values must have a minimum time and Local expansion can be considered. In addition, the measured values are both local and also incomplete in terms of time. Gaps can also arise from being in one place no or too few measured values are available. Also lie between the Measurement points no values, since not in the road network for cost reasons any number of sensors can be attached.
  • the inventive method solves these problems, especially that Consistency problem between reported changing traffic domains on the one hand and travel times and speeds on the other hand and is the basis for both Message-based as well as travel time-based dynamic route planning systems.
  • the procedure is for planning on all highways, expressways and country roads both the optimal route, the loss of travel time and the latest possible Departure time can be used to reach the destination on time. It is also suitable for creating travel time forecasts and rerouting recommendations as well for direct vehicle control and traffic control as well as for numerous others Services.
  • the object of the invention is to enable efficient, high quality Determination of the average travel speed or travel time on at least one Road or a section of a road network by location patchy traffic measurements, especially speed measurements.
  • the object is defined by the subject matter of the independent claims solved.
  • the method is shown schematically in FIG. 1.
  • the speed values v (x) are entered in a fine grid over the location, which divides the road under consideration into small intervals of, for example, 100 m to 1000 m, in particular approximately 200 m.
  • the values are then continued via location x, up to the middle of the interval to the next available value.
  • the values are defined and stored there as identical to the next available values.
  • Speed values v supplemented (x) are now available at all locations x; the gaps without values are therefore bridged.
  • the locations where speed values are available at the time of evaluation are weighted with 1.
  • These interpolation points are then extrapolated over the location using, for example, a local Gaussian filter (filtering or convolution with a Gaussian curve), which results in a location-dependent weighting function g (x) which quantifies the proximity to an actually existing speed value.
  • a local Gaussian filter filtering or convolution with a Gaussian curve
  • g (x) location-dependent weighting function which quantifies the proximity to an actually existing speed value.
  • the average travel speed for a given route results from the location integral over v profile (x) divided by the location integral of the weighting function g (x) over the route under consideration.
  • the stability (e.g. avoidance of short-term fluctuations) of the Securing certain travel speeds depending on the route will also depend considered route averaging of the currently determined values in each case with the Values of the previous update run carried out.
  • Such a sliding Smoothing is a form of an autoregressive filter (AR) (and is known, for example, from Papoulis, A .: “Probability, Random Variables, and Stochastic Processes,” McGraw-Hill Series, in: Systems Science, McGraw-Hill 1991).
  • V new and v old stand for the newly determined travel speeds of a route or those determined in a previous calculation cycle
  • tstep and t10min stand for the selected time interval in seconds between 2 update runs of the route concerned and for 600 seconds respectively. The speed v calculated in this way then becomes too old for this distance in the next update run.
  • smooth courses as well as mean values for variable distances for others physical quantities are calculated, e.g. for the flow of traffic (vehicles / time) or the traffic density (vehicles / route).
  • the method can be applied to any section of a road.
  • the route can e.g. the distance between two junctions on a street, however the entire street can also be viewed at once.
  • the method is also able to be dynamic Traffic domains (as a domain, for example, a zone with inside is on a street of a range of traffic values defined, e.g. a jam with 0 ⁇ v ⁇ 10 km / h) with freely variable ends on a road, their average remaining domain speeds to determine.
  • dynamic Traffic domains as a domain, for example, a zone with inside is on a street of a range of traffic values defined, e.g. a jam with 0 ⁇ v ⁇ 10 km / h
  • From message-based dynamic Route information systems can use this additional information to report traffic, which show the traffic domains to much more precise Route recommendations are processed further. This is for service providers Information can also be used as a selection criterion, which determines up to what remaining domain speed traffic reports are still on Road users are to be transmitted.
  • a Special treatment of mobile FCD readings or an artificial one Limitation of the procedure at the beginning of routes that are not using sensors are not necessary.

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  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Image Processing (AREA)
  • Regulating Braking Force (AREA)
EP00250164A 1999-06-11 2000-05-26 Procédé de filtrage de données du trafic pour déterminer la vitesse sur les routes Expired - Lifetime EP1061491B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19928082 1999-06-11
DE19928082A DE19928082C2 (de) 1999-06-11 1999-06-11 Filterungsverfahren zur Bestimmung von Reisegeschwindigkeiten bzw. -zeiten und Domänen-Restgeschwindigkeiten

Publications (2)

Publication Number Publication Date
EP1061491A1 true EP1061491A1 (fr) 2000-12-20
EP1061491B1 EP1061491B1 (fr) 2005-08-10

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EP00250164A Expired - Lifetime EP1061491B1 (fr) 1999-06-11 2000-05-26 Procédé de filtrage de données du trafic pour déterminer la vitesse sur les routes

Country Status (6)

Country Link
EP (1) EP1061491B1 (fr)
AT (1) ATE301860T1 (fr)
DE (2) DE19928082C2 (fr)
DK (1) DK1061491T3 (fr)
ES (1) ES2246804T3 (fr)
PT (1) PT1061491E (fr)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NL1027284C2 (nl) * 2004-10-18 2006-04-19 Goudappel Coffeng B V Inrichting voor het analyseren van verkeersstromen.
EP1921589A3 (fr) * 2006-11-10 2008-11-26 Hitachi, Ltd. Système d'interpolation d'information de trafic
US7969389B2 (en) 2001-12-13 2011-06-28 Seiko Epson Corporation Pixel circuit for a current-driven light emitting element
US8024110B2 (en) 2007-05-22 2011-09-20 Xanavi Informatics Corporation Method of estimation of traffic information, device of estimation of traffic information and car navigation device
US9569960B2 (en) 2015-02-24 2017-02-14 Here Global B.V. Method and apparatus for providing traffic jam detection and prediction
DE102007058093B4 (de) 2007-12-03 2019-05-16 Robert Bosch Gmbh Verfahren und Vorrichtung zum Ermitteln einer Routenempfehlung aus einer Mehrzahl von Wegstrecken
CN112050829A (zh) * 2019-06-06 2020-12-08 华为技术有限公司 一种运动状态确定方法及装置
GB2558502B (en) * 2016-04-18 2022-10-26 Beijing Didi Infinity Technology & Dev Co Ltd Systems and methods for recommending an estimated time of arrival

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8014936B2 (en) 2006-03-03 2011-09-06 Inrix, Inc. Filtering road traffic condition data obtained from mobile data sources
US7912627B2 (en) 2006-03-03 2011-03-22 Inrix, Inc. Obtaining road traffic condition data from mobile data sources
US7831380B2 (en) 2006-03-03 2010-11-09 Inrix, Inc. Assessing road traffic flow conditions using data obtained from mobile data sources
JP2009529187A (ja) * 2006-03-03 2009-08-13 インリックス インコーポレイテッド モバイルデータソースからのデータを使用する道路交通状況の評価
US7912628B2 (en) 2006-03-03 2011-03-22 Inrix, Inc. Determining road traffic conditions using data from multiple data sources
US7706965B2 (en) 2006-08-18 2010-04-27 Inrix, Inc. Rectifying erroneous road traffic sensor data
US7908076B2 (en) 2006-08-18 2011-03-15 Inrix, Inc. Representative road traffic flow information based on historical data
JP4982143B2 (ja) 2006-09-27 2012-07-25 クラリオン株式会社 交通状況予測装置
CN102460534B (zh) 2009-04-22 2014-10-29 因瑞克斯有限公司 基于历史和当前数据预测期望道路交通状况的计算机实现的方法和计算系统
CN102568207A (zh) * 2012-02-02 2012-07-11 北京捷易联科技有限公司 交通数据处理方法和装置
US11300414B2 (en) * 2019-09-17 2022-04-12 Baidu Usa Llc Estimated time of arrival based on history
CN110807919A (zh) * 2019-10-22 2020-02-18 浙江大学 基于过车数据的城市路网交通运行态势评价方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19737440A1 (de) * 1997-02-14 1998-08-27 Mannesmann Ag Verfahren zur Bestimmung von Verkehrsdaten und Verkehrsinformationszentrale
EP0884708A2 (fr) * 1997-06-12 1998-12-16 MANNESMANN Aktiengesellschaft Procédé et dispositif de pronostic de l'état du trafic
EP0902405A2 (fr) * 1997-09-11 1999-03-17 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic
EP0908861A2 (fr) * 1997-09-16 1999-04-14 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19737440A1 (de) * 1997-02-14 1998-08-27 Mannesmann Ag Verfahren zur Bestimmung von Verkehrsdaten und Verkehrsinformationszentrale
EP0884708A2 (fr) * 1997-06-12 1998-12-16 MANNESMANN Aktiengesellschaft Procédé et dispositif de pronostic de l'état du trafic
EP0902405A2 (fr) * 1997-09-11 1999-03-17 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic
EP0908861A2 (fr) * 1997-09-16 1999-04-14 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7969389B2 (en) 2001-12-13 2011-06-28 Seiko Epson Corporation Pixel circuit for a current-driven light emitting element
NL1027284C2 (nl) * 2004-10-18 2006-04-19 Goudappel Coffeng B V Inrichting voor het analyseren van verkeersstromen.
EP1921589A3 (fr) * 2006-11-10 2008-11-26 Hitachi, Ltd. Système d'interpolation d'information de trafic
US7580788B2 (en) 2006-11-10 2009-08-25 Hitachi, Ltd. Traffic information interpolation system
US8024110B2 (en) 2007-05-22 2011-09-20 Xanavi Informatics Corporation Method of estimation of traffic information, device of estimation of traffic information and car navigation device
US8145414B2 (en) 2007-05-22 2012-03-27 Xanavi Informatics Corporation Method of estimation of traffic information, device of estimation of traffic information and car navigation device
DE102008024777B4 (de) * 2007-05-22 2012-05-16 Xanavi Informatics Corp. Verfahren und Vorrichtung zur Schätzung von Verkehrsinformationen und Kraftfahrzeug-Navigations-Vorrichtung
DE102007058093B4 (de) 2007-12-03 2019-05-16 Robert Bosch Gmbh Verfahren und Vorrichtung zum Ermitteln einer Routenempfehlung aus einer Mehrzahl von Wegstrecken
US9569960B2 (en) 2015-02-24 2017-02-14 Here Global B.V. Method and apparatus for providing traffic jam detection and prediction
GB2558502B (en) * 2016-04-18 2022-10-26 Beijing Didi Infinity Technology & Dev Co Ltd Systems and methods for recommending an estimated time of arrival
CN112050829A (zh) * 2019-06-06 2020-12-08 华为技术有限公司 一种运动状态确定方法及装置

Also Published As

Publication number Publication date
EP1061491B1 (fr) 2005-08-10
DK1061491T3 (da) 2005-11-28
ATE301860T1 (de) 2005-08-15
DE19928082A1 (de) 2000-12-21
DE50010905D1 (de) 2005-09-15
DE19928082C2 (de) 2001-11-29
PT1061491E (pt) 2005-11-30
ES2246804T3 (es) 2006-03-01

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