EP0902404A2 - Procédé de transmission d'information sur le trafic - Google Patents

Procédé de transmission d'information sur le trafic Download PDF

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Publication number
EP0902404A2
EP0902404A2 EP98117163A EP98117163A EP0902404A2 EP 0902404 A2 EP0902404 A2 EP 0902404A2 EP 98117163 A EP98117163 A EP 98117163A EP 98117163 A EP98117163 A EP 98117163A EP 0902404 A2 EP0902404 A2 EP 0902404A2
Authority
EP
European Patent Office
Prior art keywords
data
traffic
measured values
determined
cross sections
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
EP98117163A
Other languages
German (de)
English (en)
Other versions
EP0902404B1 (fr
EP0902404A3 (fr
Inventor
Thomas Sachse
Fritz Dr. Busch
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.)
Siemens AG
Siemens Corp
Original Assignee
Siemens AG
Siemens Corp
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 Siemens AG, Siemens Corp filed Critical Siemens AG
Priority to DK98117163T priority Critical patent/DK0902404T3/da
Publication of EP0902404A2 publication Critical patent/EP0902404A2/fr
Publication of EP0902404A3 publication Critical patent/EP0902404A3/fr
Application granted granted Critical
Publication of EP0902404B1 publication Critical patent/EP0902404B1/fr
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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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

Definitions

  • the invention relates to a method for determining Road routes, in particular traffic information related to motorways.
  • DE-P 44 08 547 describes a method for traffic detection and traffic situation detection on highways, preferably Motorways, known.
  • Cross sections are set up for track-related measuring points, with traffic sensors, such as induction loops, for vehicle detection and with a traffic data processing device are provided.
  • traffic data such as vehicle speed, traffic volume and traffic density determined and from this determined traffic parameters in one Traffic data processing formed.
  • Each form two neighboring measuring points a measuring section with a certain Track length. From the traffic data of two such measuring points traffic parameters are formed.
  • These are one Speed density difference, calculated from local traffic data medium speed and traffic density, a trend factor, determined over a certain period of time the ratio of the traffic volumes of both measuring points as well a traffic intensity trend.
  • Using a Fuzzy logic the probability of a critical traffic situation derived. When a probability threshold is reached can then be a control signal for a Variable message signs are generated.
  • detectors are also known, which Presence and the speed of a moving object can capture.
  • detectors work According to a passive infrared process, which can also be used with other methods can be combined.
  • No method is known to date, traffic information covering the entire area to record and evaluate. Especially no methods are known to determine the traffic information route section variable, event-oriented if necessary and enable with little data transfer effort.
  • a low data transmission effort is on the one hand Implementation of an energy-saving process required on the other hand, as transparent and easy to maintain as possible Generate databases.
  • the present invention is based on the object of providing a comprehensive traffic data acquisition which, with simple sensors and low data transmission effort, provides reliable and sufficiently meaningful data bases for different traffic information services.
  • the invention proposes a method for determining traffic information related to road routes, in particular motorways, wherein local detection cross-sections are formed by means of fixed detectors, traffic-related measured values are recorded, preprocessed by means of local computers and standardized, aggregated and standardized to a predetermined data protocol be transmitted by radio to a higher-level data processing system.
  • the invention enables the implementation of a step organized acquisition and processing system. Thereby can different traffic models to different Levels are applied, some of which are local, some of which are central. The advantages are that short term results can be achieved by expanding into the individual Levels are consolidated and refined. Through the dissolution there is a high level in individual subtasks or levels Degree of flexibility and reliability through the Formation of fallback levels. Through the local pre-analysis of the Traffic gives rise to extremely energy-saving, event-oriented data transmission to the parent Data processing systems or centers.
  • the invention proposes that fixed detectors positioned at junctions, nodes and the like become. It is also proposed that the Arrangement density of the fixed detectors depending is determined by traffic expectation estimates. So leave through the arrangement of many local detection systems Build comprehensive networks. It is also with the invention possible to organize an overall network structure. On traffic technology local detectors and critical positions Preprocessing computer arranged, preferably via radio in digital technology the data to higher-level data processing systems forward or control centers. There you can then other traffic models are applied to the data.
  • Adjacent local detection cross sections can be a so-called route-related level of service in a higher-level Data processing system or one of the entire network assigned headquarters are determined.
  • Measured data After a detector, for example a passive infrared detector, Measured data are delivered, they will be preprocessed, for example by calculating mean values, Plausibility checks and trend factor determinations carried out become. From the changes in the data or the data state codes themselves are then determined, for example in the form of a numerical value for conditions such as free traffic flow, Traffic jam, stop and go, traffic jam or standstill etc. Evaluation cycles can, for example, every 1 to 5 minutes to get voted. However, the evaluation cycle can be variable be determined, for example depending on the status codes or the traffic conditions. The same applies the data transfer rate, which depends, for example of the determined status code is used, for example one transmission every 30 minutes when traffic is free with averaging every 5 minutes. Depending on the fault condition the transmission density can be increased. In doing so the data transfer rates of adjacent acquisition cross sections matched to each other.
  • a detector for example a passive infrared detector
  • Measured data are delivered, they will be preprocessed, for example by calculating mean values, Plaus
  • the measured values can be recorded in relation to the lane, but what is not absolutely necessary, other detection cross sections can also be used To be defined. It is also fundamental possible, vehicle type differentiation values, for example Detect trucks, cars and the like.
  • the invention proposes that superordinate data processing systems at least for those grouped together neighboring detection cross sections can be assigned.
  • a control center can act as a higher-level data processing system for all detection cross sections of a network or for several higher-level data processing systems can be assigned.
  • the network organization can be done in whatever stages flexibility and data security are affected. Here economic parameters can be used as a boundary condition become.
  • source-to-target relationships by analyzing the data of all acquisition cross sections of a network determines that the data for route search, evaluated for the output of traffic management information, subjected to statistical analysis for clarification and that the data for making traffic development forecasts be evaluated.
  • the invention provides methods for different Types and qualities of traffic information data to provide.
  • the main task is to provide such data to prepare for the motor vehicle driver and this provide appropriate information. It can be for example, travel time displays, route displays, traffic forecast, Act traffic jams and the like.
  • information displays arranged on which the motor vehicle driver their planned routes and travel time information are displayed to get. You can then, for example, under different Alternatives choose the fastest route. Additionally or alternatively, indications of traffic jam developments, Probabilities related to further development on the upcoming route section and the like are displayed. The range of applications is extensive.
  • the invention provides an extremely flexible method, with which by linking different traffic models an almost network-wide, nationwide Traffic information system is buildable, which data for provides a wide variety of information purposes. It can be conventional and already known models and processes are used and be combined. Forecasts can be curve-based Forecasts at measuring points, model-based forecasts for Sections and meshes and additions of immeasurable effects using artificial intelligence. For the calculation Standard formulas of average values are used. Trend factors can, for example, use the extrapolation method based on the quadratic extrapolation of Lewandowski (1974).
  • the traffic volume is determined over time. It results the so-called traffic strength curve, which is found in vehicles per hour from 1-minute measurements.
  • the Figure shows the unsmoothed and the exponentially smoothed Values for a two-lane motorway cross-section.
  • the Figure shows the effect of smoothing on the fluctuation range of the measured values.
  • Figures 1 to 3 show very clearly that at the beginning of a strongly increasing traffic volume a sharp drop in speed takes place and to a very high traffic density leads, which begins to normalize again over time.
  • Figures 4 and 5 show the course of a linear Trend factor of a trend calculation over the day. Here shows that in particular with inhomogeneous traffic flow, for example At night or in the event of faults, the trend factor is one has high fluctuation range. This is also confirmed according to Figure 5, in which the change in linear trend is listed.
  • Figures 6 and 7 represent so-called fundamental diagrams for two different cross-sections.
  • fundamental diagrams the speed v over the traffic volume q applied.
  • the letters A to F are six different ones Quality levels are shown, where A is a free Traffic corresponds to, F a traffic jam. It happens at D already Stop-and-Go or viscous traffic signs that as are to be viewed critically.
  • the illustrations show how with the method according to the invention concrete values related to the measuring point recorded respectively calculated and related to cross-section or route Condition values or quality levels processed further become. All recorded, calculated and processed Data and results are now available to the To provide road users with relevant traffic information. For example, travel times for planned Calculate routes or different alternative routes and represent. Corresponding warnings and Provide forecasts including forecast probabilities.

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  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Circuits Of Receivers In General (AREA)
  • Devices For Checking Fares Or Tickets At Control Points (AREA)
  • Crystals, And After-Treatments Of Crystals (AREA)
  • Nitrogen And Oxygen Or Sulfur-Condensed Heterocyclic Ring Systems (AREA)
EP98117163A 1997-09-11 1998-09-10 Procédé de détermination d'information sur le trafic Expired - Lifetime EP0902404B1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
DK98117163T DK0902404T3 (da) 1997-09-11 1998-09-10 Fremgangsmåde til bestemmelse af trafikinformation

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19739737 1997-09-11
DE19739737 1997-09-11

Publications (3)

Publication Number Publication Date
EP0902404A2 true EP0902404A2 (fr) 1999-03-17
EP0902404A3 EP0902404A3 (fr) 2000-08-23
EP0902404B1 EP0902404B1 (fr) 2004-11-17

Family

ID=7841874

Family Applications (1)

Application Number Title Priority Date Filing Date
EP98117163A Expired - Lifetime EP0902404B1 (fr) 1997-09-11 1998-09-10 Procédé de détermination d'information sur le trafic

Country Status (6)

Country Link
EP (1) EP0902404B1 (fr)
AT (1) ATE282872T1 (fr)
DE (1) DE59812267D1 (fr)
DK (1) DK0902404T3 (fr)
ES (1) ES2231931T3 (fr)
PT (1) PT902404E (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1406226A3 (fr) * 2002-10-02 2004-06-09 Bayerische Motoren Werke Aktiengesellschaft Méthode pour améliorer la qualité des informations sur des perturbations de la circulation routière
CN102289932A (zh) * 2011-06-17 2011-12-21 同济大学 基于车辆自动识别设备的动态od矩阵估计方法

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5289183A (en) * 1992-06-19 1994-02-22 At/Comm Incorporated Traffic monitoring and management method and apparatus
SE470367B (sv) * 1992-11-19 1994-01-31 Kjell Olsson Sätt att prediktera trafikparametrar
DE4408547A1 (de) * 1994-03-14 1995-10-12 Siemens Ag Verfahren zur Verkehrserfassung und Verkehrssituationserkennung auf Autostraßen, vorzugsweise Autobahnen
ES2135134T3 (es) * 1995-04-28 1999-10-16 Inform Inst Operations Res & M Procedimiento para la deteccion de perturbaciones en el trafico rodado.

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1406226A3 (fr) * 2002-10-02 2004-06-09 Bayerische Motoren Werke Aktiengesellschaft Méthode pour améliorer la qualité des informations sur des perturbations de la circulation routière
CN102289932A (zh) * 2011-06-17 2011-12-21 同济大学 基于车辆自动识别设备的动态od矩阵估计方法
CN102289932B (zh) * 2011-06-17 2013-10-23 同济大学 基于车辆自动识别设备的动态od矩阵估计方法

Also Published As

Publication number Publication date
EP0902404B1 (fr) 2004-11-17
ATE282872T1 (de) 2004-12-15
DE59812267D1 (de) 2004-12-23
ES2231931T3 (es) 2005-05-16
PT902404E (pt) 2005-02-28
EP0902404A3 (fr) 2000-08-23
DK0902404T3 (da) 2005-01-31

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