EP1528524A2 - Procédé de pronostic du trafic basé sur des données historiques - Google Patents

Procédé de pronostic du trafic basé sur des données historiques Download PDF

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Publication number
EP1528524A2
EP1528524A2 EP04024477A EP04024477A EP1528524A2 EP 1528524 A2 EP1528524 A2 EP 1528524A2 EP 04024477 A EP04024477 A EP 04024477A EP 04024477 A EP04024477 A EP 04024477A EP 1528524 A2 EP1528524 A2 EP 1528524A2
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EP
European Patent Office
Prior art keywords
traffic
database
hydrograph
aggregated
patterns
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
Application number
EP04024477A
Other languages
German (de)
English (en)
Other versions
EP1528524A3 (fr
EP1528524B1 (fr
Inventor
Boris Prof. Dr. Kerner
Hubert Dr. Rehborn
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
Daimler AG
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Publication date
Application filed by DaimlerChrysler AG, Daimler AG filed Critical DaimlerChrysler AG
Publication of EP1528524A2 publication Critical patent/EP1528524A2/fr
Publication of EP1528524A3 publication Critical patent/EP1528524A3/fr
Application granted granted Critical
Publication of EP1528524B1 publication Critical patent/EP1528524B1/fr
Not-in-force legal-status Critical Current
Anticipated expiration legal-status Critical

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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
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/091—Traffic information broadcasting

Definitions

  • the invention relates to a method for gangway-based Traffic forecast according to the preamble of the claim 1.
  • This procedure becomes a hydrograph database taking into account patterns dense traffic effective bottlenecks of a considered traffic route network constructed, and traffic forecasts are using current traffic measurements and comparing them with data created from the hydrograph database.
  • the invention is the provision as a technical problem a method of the type mentioned, with the traffic-based traffic forecasts comparatively Reliable creation, even with temporary occurring effective bottlenecks of the considered traffic route network.
  • the invention solves this problem by providing a method having the features of claim 1.
  • This Procedure is to build the hydrograph database one Aggregation of all traffic patterns to permanent effective Narrowing the considered traffic route network carried out.
  • an associated aggregated traffic pattern determined and the hydrograph database with this updated.
  • Each aggregated traffic pattern becomes a specific one Travel time associated, and to create the traffic forecasts travel times are based on this basis all or a selectable part of the legs of the considered and displayed network.
  • traffic patterns that are based on the composition the different individualizable states dense traffic based, the basic building blocks of a aggregated hydrograph forecast.
  • the invention makes use of the knowledge that any such traffic pattern at an effective Bottleneck a certain travel time increase in comparison can be assigned to the state of free traffic. Therefore, track-related travel times, especially for passing effective bottlenecks, directly and automatically from the traffic patterns in the hydrograph database. In the case of a newly occurring, temporary effective Bottleneck, like a construction site, this can relatively quickly certain traffic patterns are assigned when the traffic flows in the area of this temporary effective bottleneck are detectable.
  • a development of the invention according to claim 5 provides advantageous Possibilities of displaying the predicted traffic condition for the user, in particular a driver, in front.
  • the present method makes the traffic-based traffic forecast from aggregated traffic patterns to permanent ones and temporary effective bottlenecks of a considered traffic route network Use.
  • traffic-based traffic forecast from aggregated traffic patterns to permanent ones and temporary effective bottlenecks of a considered traffic route network Use.
  • Any suitable suitable methods for carrying out the process Means as they are in the use of the specialist for this purpose are and therefore need no further explanation. It can in particular on the above-mentioned publications and the references cited there are referenced.
  • the method initially to build a hydrograph database obtained the required input data and to corresponding traffic measurements, for example about traffic volume, Cruise speeds and travel times for a considered Traffic route network, for example a road network in a particular area. It will be in the field of permanent effective bottlenecks of the traffic route network Traffic patterns resulting from the individualizable dense Traffic conditions "synchronized traffic", “compressed synchronized traffic "and” moving wide traffic jams " composed, determined and as basic building blocks of a aggregated hydrograph forecast used.
  • this temporary effective bottleneck when detecting a newly occurring, temporary effective Bottleneck, for example, when receiving a message about a newly built construction site or a longer-lasting accident site, this temporary effective bottleneck a corresponding associated traffic pattern and the influence this traffic pattern on the other traffic patterns upstream and downstream of the new temporary effective Bottleneck predicts.
  • the hydrograph database will be respectively automatically updated, i. it will automatically become hydrographs belonging to the new temporary effective bottleneck for said traffic patterns and associated travel times generated and managed in the hydrograph database.
  • This preferably also includes a prognosis of the influence of the Traffic pattern of new temporary effective bottleneck the other traffic patterns in the hydrograph database of permanent or current temporary bottlenecks upstream and downstream of the new bottleneck.
  • temporary effective bottleneck be automatically deleted again in the hydrograph database, as soon as this bottleneck no longer exists, for example when a new construction site was lifted again.
  • Another option is the aggregated traffic patterns to build the appropriate hydrograph database or the corresponding traffic pattern-based hydrograph forecasts together with automatically for example one of Central generated traffic reports, especially those on RDS / TMC basis, process and such interaction of traffic reports, such as RDS / TMC messages, and aggregated Traffic patterns also for updating care to use the hydrograph database.
  • the on the basis of traffic patterns at effective bottlenecks created hydrograph database forms part of a appropriate baseline traffic prediction system, in which a comparison of current traffic measurements with the stored hydrographs a best fitting hydrograph according to one of the skilled artisan algorithms is selected.
  • a database for the mentioned traffic reports for example in RDS / TMC format be provided.
  • the representative patterns are dense Traffic at effective bottlenecks can also be after one the algorithms known from suitable traffic measurement data determined and in their temporal / local course be predicted.
  • a conventional visualization system become the user the results of the gang-based traffic forecast displayed in the desired manner, for example as a textual and / or graphical display of current and / or future Traffic disruption on a screen.
  • this can this as a graphical and / or textual display of traffic information over the temporal and local course of the aggregated Traffic patterns of effective bottlenecks on one digital Wegetz badge done, for example in the form of current and future travel loss times due to the pattern of dense traffic at the relevant effective Bottleneck to be predicted.
  • Loss can also be the current or future Travel time for relevant sections textually and / or graphically represented on the digital road network map become.
  • Another display option is to use the temporal and local course of the aggregated traffic patterns in the form of current and future aggregated Symbols textual and / or graphic on a map for appropriate Play back sections.
  • the aggregated symbols can be states with dense traffic by "congestion” and “slow-moving traffic” or by "high traffic” Danger of congestion ",” medium congestion risk “and” low risk of congestion " or different by other such classifications Show.
  • FIG. 1 to 4 are illustrative representative Types of aggregated traffic patterns shown from the customizable dense traffic conditions "synchronized Traffic ",” compressed synchronized traffic “and “Moving wide traffic jams” are constructed and for the invention Processes are used, in particular for rapid gangline-based, prognostic identification of Travel times on sections with permanent and / or temporary effective bottlenecks.
  • FIG. 1 shows a first possible aggregate traffic pattern composed of an area B S of synchronized traffic and an upstream area B GS of compressed synchronized traffic and may form upstream of an effective bottleneck at a route point x S, F.
  • This route point x S, F of the effective bottleneck forms the boundary to a downstream area B F of free traffic.
  • the transition point between synchronized traffic and compressed synchronized traffic is denoted by x GS, S.
  • Fig. 2 shows a case in which an aggregated traffic pattern forms upstream of the location x S, F of an effective bottleneck, the synchronized traffic compressed from a region B S , a synchronized traffic compressed upstream therefrom B GS , and an upstream region thereof B St wide moving congestion is composed, while downstream of the effective bottleneck and upstream of the aggregated traffic pattern in turn be regions B F free movement.
  • the transition points between synchronized traffic B S and compressed synchronous traffic B GS and between the latter and the area B St are denoted by x GS, S and x St, GS respectively, the upstream transit point to free traffic is denoted by x F, St.
  • FIG. 3 shows as a further possible case of an aggregated traffic pattern used for the present method, and in particular the hydrograph database, a so-called overarching pattern, ie, extending upstream over several effective bottlenecks. Specifically, this extends over four effective bottlenecks, which lie in the direction of travel at a distance successively in the considered section of the route and whose spatial positions with x S, F1 , x S, F2 , x S, F3 and x S, F4 are designated.
  • Upstream and downstream of the overarching, aggregated traffic pattern in turn, there is in each case an area B F of free traffic.
  • the overarching pattern in the example shown consists of a downstream area of synchronized traffic and an upstream area of compressed synchronized traffic.
  • Fig. 4 shows as a further possible example of an aggregated traffic pattern on an effective bottleneck is one which like that of Fig. 3 across four effective bottlenecks x S, F1, x S, F2, x S, F3, x S, F4 extends between areas B F of free traffic, and in this case from a region of synchronized traffic adjacent upstream to the most downstream effective bottleneck X S, F 4, a synchronized traffic compressed upstream therefrom, and a region adjacent to this upstream region wide traffic jams.

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  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Compounds Of Unknown Constitution (AREA)
EP04024477A 2003-10-30 2004-10-14 Procédé de pronostic du trafic basé sur des données historiques Not-in-force EP1528524B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE10350679A DE10350679A1 (de) 2003-10-30 2003-10-30 Verfahren zur gangliniengestützten Verkehrsprognose
DE10350679 2003-10-30

Publications (3)

Publication Number Publication Date
EP1528524A2 true EP1528524A2 (fr) 2005-05-04
EP1528524A3 EP1528524A3 (fr) 2007-12-26
EP1528524B1 EP1528524B1 (fr) 2008-09-10

Family

ID=34399612

Family Applications (1)

Application Number Title Priority Date Filing Date
EP04024477A Not-in-force EP1528524B1 (fr) 2003-10-30 2004-10-14 Procédé de pronostic du trafic basé sur des données historiques

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Country Link
EP (1) EP1528524B1 (fr)
AT (1) ATE408210T1 (fr)
DE (2) DE10350679A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115037642A (zh) * 2022-03-30 2022-09-09 武汉烽火技术服务有限公司 一种识别流量瓶颈的方法和装置

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102005055245A1 (de) * 2005-11-19 2007-05-31 Daimlerchrysler Ag Verfahren zur Erstellung einer Verkehrsmusterdatenbank
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
DE102009034376A1 (de) 2009-07-23 2010-03-25 Daimler Ag Verfahren zur kartenbasierten Verkehrsprognose für eine Navigationsvorrichtung in einem Fahrzeug
DE102009037087A1 (de) * 2009-08-11 2011-02-17 Bayerische Motoren Werke Aktiengesellschaft Übertragung bzw. Verarbeiten einer Verkehrsinformation

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0908861A2 (fr) * 1997-09-16 1999-04-14 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic
EP1176569A2 (fr) * 2000-07-28 2002-01-30 DaimlerChrysler AG Procédé de surveillance de l'état du trafic sur un réseau routier comportant des modifications effectives du trafic
DE10062856A1 (de) * 2000-12-16 2002-06-20 Daimler Chrysler Ag Verfahren zur fahrzeugindividuellen Verkehrsprognose

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0908861A2 (fr) * 1997-09-16 1999-04-14 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic
EP1176569A2 (fr) * 2000-07-28 2002-01-30 DaimlerChrysler AG Procédé de surveillance de l'état du trafic sur un réseau routier comportant des modifications effectives du trafic
DE10062856A1 (de) * 2000-12-16 2002-06-20 Daimler Chrysler Ag Verfahren zur fahrzeugindividuellen Verkehrsprognose

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115037642A (zh) * 2022-03-30 2022-09-09 武汉烽火技术服务有限公司 一种识别流量瓶颈的方法和装置
CN115037642B (zh) * 2022-03-30 2023-11-21 武汉烽火技术服务有限公司 一种识别流量瓶颈的方法和装置

Also Published As

Publication number Publication date
EP1528524A3 (fr) 2007-12-26
DE502004008014D1 (de) 2008-10-23
EP1528524B1 (fr) 2008-09-10
ATE408210T1 (de) 2008-09-15
DE10350679A1 (de) 2005-06-02

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