EP0936590A2 - Procédé et appareil de détermination des conditions de circulation d'un réseau routier - Google Patents

Procédé et appareil de détermination des conditions de circulation d'un réseau routier Download PDF

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Publication number
EP0936590A2
EP0936590A2 EP99101272A EP99101272A EP0936590A2 EP 0936590 A2 EP0936590 A2 EP 0936590A2 EP 99101272 A EP99101272 A EP 99101272A EP 99101272 A EP99101272 A EP 99101272A EP 0936590 A2 EP0936590 A2 EP 0936590A2
Authority
EP
European Patent Office
Prior art keywords
traffic
traffic flow
data
simulation
flow data
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.)
Withdrawn
Application number
EP99101272A
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German (de)
English (en)
Other versions
EP0936590A3 (fr
Inventor
Dagmar Hermann
Peter Dr. Konhäuser
Winfried Kronjäger
Malte Rödiger
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.)
Mercedes Benz Group AG
Original Assignee
DaimlerChrysler AG
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 DaimlerChrysler AG filed Critical DaimlerChrysler AG
Publication of EP0936590A2 publication Critical patent/EP0936590A2/fr
Publication of EP0936590A3 publication Critical patent/EP0936590A3/fr
Withdrawn legal-status Critical Current

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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 an apparatus for Determining the traffic situation on a traffic network, in particular for the purpose of traffic control and route guidance of vehicles.
  • WO 89/021242 describes a system for optimal use of a Road network known that at selected locations or sections of the route has at least one recording sensor that the traffic condition, in particular the traffic density, and the Street condition recorded.
  • the traffic condition data are then to a control center, which can be a traffic computer can transfer.
  • the processing and processing takes place in the control center
  • Preparation of the supplied, current traffic status data which are then used for direct traffic control, for example, by direct information to the driver; the Traffic control is based on a target-actual comparison the traffic condition data from selected locations or Route sections.
  • the target values correspond, for example the optimal traffic condition on the corresponding Section of the road network.
  • To better capture the Traffic flows are those determined at different locations Traffic status data from two measuring points e.g. a correlation analysis subject to additional statements, e.g. to get about the traffic flows.
  • DE 195 26 148 A1 describes a method and a system for Traffic flow forecast at selected locations or Sections of a road network, in particular for traffic control and route guidance of vehicles known in which determined Traffic flow data, the information at least on the Contain traffic density, be fed to a traffic computer, that has a digital road map. It is intended that vehicles of a sample vehicle fleet each have their current Determine location position and save the corresponding data, in order to at least partially send them to the Transfer traffic calculator.
  • the traffic calculator determines or updates statistical data based on the currently recorded route data Traffic flow data. In addition, current driving activity data in a given larger spatial area the selected locations or sections of the route are recorded and transmitted to the traffic computer.
  • the forecast of traffic flows at the selected locations or sections of a route Street network then takes place essentially by extrapolation the traffic flow data assigned to the locations or route sections taking into account the statistical traffic flow data. Based on the predicted traffic flows then appropriate measures to influence traffic or Route guidance of vehicles.
  • DE 195 34 589 A1 describes a method and a system for Route planning known, the subject of determining a also over a longer period of favorable route from one Start to a target position. To do this at individual locations or traffic segments determined to a Traffic calculator, which has a digital road map, transferred from it depending on determined and / or Predefinable input parameters of parameter-dependent traffic condition patterns for at least some of the locations or sections of the route of the road network and future traffic conditions predicted. Using the digital road map and taking into account the forecast traffic conditions The traffic computer then determines at least one cheap one Route from a start to a destination.
  • the invention is a technical problem of providing a method and a device of the aforementioned Kind with which the traffic situation at every place of the underlying route network with relatively little effort, especially without imperative because of network side
  • Facilities can be determined comparatively reliably. This problem is solved by a method with the characteristics of Claim 1 and a device with the features of the claim 4 solved.
  • the flow of traffic is on the entire traffic route network through a traffic flow simulation computer based on the dynamic traffic flow-related Simulates input variables and thereby determines the traffic situation, traffic flow data measured at the real traffic situation with corresponding traffic flow data obtained by the simulation be compared and the comparison result to Adjust the simulation is used. Because of the required high computing power of the traffic flow simulation computer it will usually be located in a central office.
  • a further developed method according to claim 2 are as dynamic input quantity data in the traffic flow simulation computer also estimated data about the expected Traffic volume in the form of time-resolved OD (Origin Destination) matrices used. Contain such OD matrices as is known per se, the e.g. empirically Information obtained about the flow of traffic in the relevant time from an associated first (source) district to an associated second (target) district of the in districts divided road network is to be expected, and are therefore suitable good as a starting point for traffic flow simulation.
  • OD Oil Destination
  • the Simulation calculation faster than real time, making short-term forecasts about in the near future in a particular area of Traffic network expected traffic situation in advance can be.
  • the device according to claim 4 is suitable for performing the inventive method.
  • the single figure shows a functional block diagram of a device to determine the traffic situation on a road network.
  • the centerpiece of the device shown is a traffic flow simulation computer 1 which is preferably arranged in a traffic control center and in whose memory unit 2 a digital road map of an underlying road network is loaded.
  • the traffic flow simulation computer 1 is supplied with data sets of traffic state variables measured by sensors, for example so-called loop data 3 about the current traffic state at the locations at which, where available, measurement loops for vehicle detection are located on the carriageway side, so-called floating car data (FCD) 4 of vehicles one Sample vehicle fleet, if available, and, depending on the application, further recorded traffic flow data, in particular also in the form of conventional traffic disruption reports transmitted via a traffic radio channel.
  • loop data 3 data from other fixed, traffic flow sensing devices can be used.
  • the traffic flow simulation computer 1 is supplied with estimated data for the expected traffic volume 5 in the form of time-resolved n ⁇ n OD matrices, which are based on a subdivision of the underlying road network into a number n of individual districts.
  • Such an OD matrix can be obtained, for example, empirically on the basis of corresponding traffic flow observations in the past or by surveys among the road users involved.
  • the traffic flow simulation computer 1 simulates in real time or faster the flow of traffic on the entire network of those in the Storage unit 2 stored digital road map taking into account of the input data 3, 4, 5 supplied using a suitable traffic flow algorithm, as known to the expert is and therefore requires no detailed discussion here.
  • the traffic flow simulation computer goes in the respective calculation step 1 from a previous, determined traffic flow state 6 at time t, at the beginning of the simulation first-time traffic flow state from the supplied detected or derives traffic flow data determined by the OD matrix, i.e. based on the loop data 3, FCD data 4 and / or the estimated Data 5. Calculated from the previous traffic flow state 6 then the traffic flow simulation computer 1 in real time or faster through the simulation algorithm the traffic flow state 7 for the entire network at one by one simulation time increment ⁇ t later time t + ⁇ t.
  • the new simulated traffic flow state 7 is then with the Traffic flow simulation computer 1 called up at this time t + ⁇ t Actual traffic flow state data, such as the current loop data 3, FCD data 4 and estimated data 5 compared. So much for the new simulated traffic flow status data 7 not with the actual traffic flow data match, the simulated traffic flow data will depend on Type of information, such as traffic density and traffic data mean vehicle speed and other traffic flow determining Data, at the appropriate points of the real situation preferably gradually adjusted.

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  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
EP99101272A 1998-02-13 1999-01-23 Procédé et appareil de détermination des conditions de circulation d'un réseau routier Withdrawn EP0936590A3 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19805869 1998-02-13
DE1998105869 DE19805869A1 (de) 1998-02-13 1998-02-13 Verfahren und Vorrichtung zur Bestimmung der Verkehrslage auf einem Verkehrswegennetz

Publications (2)

Publication Number Publication Date
EP0936590A2 true EP0936590A2 (fr) 1999-08-18
EP0936590A3 EP0936590A3 (fr) 2000-09-27

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Family Applications (1)

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EP99101272A Withdrawn EP0936590A3 (fr) 1998-02-13 1999-01-23 Procédé et appareil de détermination des conditions de circulation d'un réseau routier

Country Status (3)

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EP (1) EP0936590A3 (fr)
JP (1) JPH11328571A (fr)
DE (1) DE19805869A1 (fr)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002011099A1 (fr) * 2000-07-31 2002-02-07 Siemens Aktiengesellschaft Procede et dispositif de determination d'un courant de connexion dans une connexion a l'interieur d'un reseau
WO2004021305A3 (fr) * 2002-08-29 2004-06-17 Itis Holdings Plc Appareil et procede de mise a disposition d'information de trafic
EP1235195A3 (fr) * 2001-02-23 2005-02-09 Hitachi, Ltd. Procédé de pronostic des conditions de circulation au moyen de véhicules flottants
DE102006052319A1 (de) * 2006-11-07 2008-05-08 Deutsche Telekom Ag Traffic-Management-System
EP1918895A3 (fr) * 2002-08-29 2008-10-29 Itis Holdings Plc Appareil et procédé pour la fourniture d'informations de trafic
DE102010009443A1 (de) 2010-02-23 2011-08-25 Deutsches Zentrum für Luft- und Raumfahrt e.V., 51147 Verfahren und Vorrichtung zur Bestimmung mindestens einer gewünschten Reiseverbindung
CN101739836B (zh) * 2009-12-18 2012-05-23 吉林大学 大规模路网下中心式实时动态交通诱导路径优化方法
US8818380B2 (en) 2004-07-09 2014-08-26 Israel Feldman System and method for geographically locating a cellular phone
US8918278B2 (en) 2000-08-28 2014-12-23 Inrix Global Services Limited Method and system for modeling and processing vehicular traffic data and information and applying thereof
WO2015135806A1 (fr) * 2014-03-10 2015-09-17 Bayerische Motoren Werke Aktiengesellschaft Procédé et dispositif de détermination de paramètres d'intersection
US9798985B2 (en) 2009-02-02 2017-10-24 Inrix Holdings Limited Apparatus and methods for providing journey information
CN112133105A (zh) * 2019-06-24 2020-12-25 株式会社日立制作所 交通流预测辅助装置以及交通流预测辅助方法

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2007224206A1 (en) * 2006-03-03 2007-09-13 Inrix, Inc. Assessing road traffic conditions using data from mobile data sources
GB2492369B (en) 2011-06-29 2014-04-02 Itis Holdings Plc Method and system for collecting traffic data
US8706458B2 (en) * 2011-10-05 2014-04-22 International Business Machines Corporation Traffic sensor management
CN103345165A (zh) * 2013-07-26 2013-10-09 中国人民解放军军事交通学院 缩微智能车群的智能交通硬件在线仿真系统
CN105741555B (zh) * 2016-04-28 2017-12-01 华南理工大学 一种基于宏观基本图确定车型折算系数的方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19534589A1 (de) 1994-11-28 1996-05-30 Mannesmann Ag Verfahren und System zur Routenplanung
DE19526148A1 (de) 1995-07-07 1997-02-06 Mannesmann Ag Verfahren und System zur Prognose von Verkehrsströmen

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
SE470367B (sv) * 1992-11-19 1994-01-31 Kjell Olsson Sätt att prediktera trafikparametrar
EP0740280B1 (fr) * 1995-04-28 1999-07-28 INFORM Institut für Operations Research und Management GmbH Méthode de détection des pertubations pour trafic routièr
SE503515C2 (sv) * 1995-05-19 1996-07-01 Dimbis Ab Detektering och prediktion av trafikstörningar

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19534589A1 (de) 1994-11-28 1996-05-30 Mannesmann Ag Verfahren und System zur Routenplanung
DE19526148A1 (de) 1995-07-07 1997-02-06 Mannesmann Ag Verfahren und System zur Prognose von Verkehrsströmen

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002011099A1 (fr) * 2000-07-31 2002-02-07 Siemens Aktiengesellschaft Procede et dispositif de determination d'un courant de connexion dans une connexion a l'interieur d'un reseau
US9324232B2 (en) 2000-08-28 2016-04-26 INRX Gloabal Services Limited Method and system for modeling and processing vehicular traffic data and information and applying thereof
US9552725B2 (en) 2000-08-28 2017-01-24 Inrix Global Services Limited Method and system for modeling and processing vehicular traffic data and information and applying thereof
US8918278B2 (en) 2000-08-28 2014-12-23 Inrix Global Services Limited Method and system for modeling and processing vehicular traffic data and information and applying thereof
EP1235195A3 (fr) * 2001-02-23 2005-02-09 Hitachi, Ltd. Procédé de pronostic des conditions de circulation au moyen de véhicules flottants
EP1918895A3 (fr) * 2002-08-29 2008-10-29 Itis Holdings Plc Appareil et procédé pour la fourniture d'informations de trafic
WO2004021305A3 (fr) * 2002-08-29 2004-06-17 Itis Holdings Plc Appareil et procede de mise a disposition d'information de trafic
US8818380B2 (en) 2004-07-09 2014-08-26 Israel Feldman System and method for geographically locating a cellular phone
US9026114B2 (en) 2004-07-09 2015-05-05 INRX Global Services Limited System and method for geographically locating a cellular phone
US9155060B2 (en) 2004-07-09 2015-10-06 INRX Global Services Limited System and method for geographically locating a cellular phone
DE102006052319A1 (de) * 2006-11-07 2008-05-08 Deutsche Telekom Ag Traffic-Management-System
US9798985B2 (en) 2009-02-02 2017-10-24 Inrix Holdings Limited Apparatus and methods for providing journey information
CN101739836B (zh) * 2009-12-18 2012-05-23 吉林大学 大规模路网下中心式实时动态交通诱导路径优化方法
DE102010009443A1 (de) 2010-02-23 2011-08-25 Deutsches Zentrum für Luft- und Raumfahrt e.V., 51147 Verfahren und Vorrichtung zur Bestimmung mindestens einer gewünschten Reiseverbindung
WO2015135806A1 (fr) * 2014-03-10 2015-09-17 Bayerische Motoren Werke Aktiengesellschaft Procédé et dispositif de détermination de paramètres d'intersection
CN112133105A (zh) * 2019-06-24 2020-12-25 株式会社日立制作所 交通流预测辅助装置以及交通流预测辅助方法
CN112133105B (zh) * 2019-06-24 2023-05-02 株式会社日立制作所 交通流预测辅助装置以及交通流预测辅助方法

Also Published As

Publication number Publication date
DE19805869A1 (de) 1999-08-26
JPH11328571A (ja) 1999-11-30
EP0936590A3 (fr) 2000-09-27

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