EP0902403B1 - Procédé de détection d'information sur le trafic - Google Patents

Procédé de détection d'information sur le trafic Download PDF

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Publication number
EP0902403B1
EP0902403B1 EP98117158A EP98117158A EP0902403B1 EP 0902403 B1 EP0902403 B1 EP 0902403B1 EP 98117158 A EP98117158 A EP 98117158A EP 98117158 A EP98117158 A EP 98117158A EP 0902403 B1 EP0902403 B1 EP 0902403B1
Authority
EP
European Patent Office
Prior art keywords
data
traffic
evaluated
order
transmission
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.)
Expired - Lifetime
Application number
EP98117158A
Other languages
German (de)
English (en)
Other versions
EP0902403A3 (fr
EP0902403A2 (fr
Inventor
Fritz Dr. Busch
Thomas Sachse
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
Publication of EP0902403A2 publication Critical patent/EP0902403A2/fr
Publication of EP0902403A3 publication Critical patent/EP0902403A3/fr
Application granted granted Critical
Publication of EP0902403B1 publication Critical patent/EP0902403B1/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, especially traffic information related to motorways, local detection cross sections using stationary detectors formed, traffic-related measured values recorded, preprocessed by means of local computers and to a given one Data protocol standardized, aggregated and sent by radio a higher-level data processing system can be transmitted.
  • EP 0 256 483 A1 is a traffic control Information system which uses stationary beacons and transmitters arranged in vehicles or receiving units traffic flow information determined. This traffic flow information becomes in particular Disturbance information determined to switch control signals.
  • DE-P 44 08 547 describes a method for traffic detection and traffic situation detection on highways, preferably Motorways, known.
  • Measuring 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 Length. From the traffic data of two such Traffic parameters are formed for measuring points.
  • European patent application EP 0 740 280 A2 discloses one Procedures for fault detection in road traffic within of a sector to be monitored.
  • One measurement cross-section each At the beginning and end of the sector, the number is the measured data and the speed of the passive cross sections Vehicles continuously captured during finite, consecutively numbered measuring intervals collected and cyclically to average values of traffic volume and speed condensed and after transfer of data from route stations assigned to the measurement cross sections to a central evaluation point evaluated.
  • 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. In particular no methods are known to determine the traffic information route section variable, event-oriented if necessary and enable with little data transfer effort.
  • the present invention has the object to provide a comprehensive traffic data collection of the generic type improved so that with simple sensors and low data transmission and energy consumption reliable and sufficiently meaningful data bases for different traffic information services are provided.
  • the invention proposes a method for determining traffic information relating 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 are transmitted by wireless transmission to a higher-level data processing system, in order to improve the fact that the data aggregated by means of local computers is statistically evaluated and smoothed, related to a predetermined reference value and is only transmitted when a threshold value range defined around the reference value is exceeded or undershot.
  • the invention enables the implementation of a step organized collection and processing system, being already Short term results can be achieved through Expansion into the individual stages consolidated and refined become. By breaking it down into individual subtasks or levels results in a high degree of flexibility and Reliability through the formation of fallback levels. By The local pre-analysis of traffic gives rise to opportunities for extremely energy-saving, event-oriented data transmission to the higher-level data processing systems or - central.
  • Fixed detectors are preferably used at connection points, Nodes and the like can be positioned. About that In addition, the arrangement density of the fixed detectors in Dependence on traffic expectation estimates determined. Consequently can be arranged by arranging many local detection systems Build comprehensive networks. With the invention it is also possible to organize an overall network structure. Locally critical locations become critical Detectors and preprocessing computers arranged that the data via radio in preferably digital technology forward higher-level data processing systems or centers. Other traffic models can then be accessed there Data are applied.
  • 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 can be determined.
  • Measured data After a detector, for example a passive infrared detector, Measured data are delivered, they will 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 transmission rates of neighboring acquisition cross sections matched to each other.
  • the measured values can be recorded in relation to lanes, but what is not absolutely necessary, other acquisition 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 provides methods for different Types and qualities of traffic information data to provide.
  • the main task is to provide such data 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 are used in the individual vehicles, for example 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 traffic models in the head office with data of an aggregation type (threshold-oriented or fixed).
  • the actuality the traffic-related statements, however, is from that Aggregation interval dependent. The bigger the interval, the statements are all the less up to date.
  • a preliminary analysis of the measurement data per Lanes take place and thus the decision is made whether data of a measuring cross section should be sent. Communication is carried out when on one of the Lanes the changed traffic situation a transmission makes necessary. The decision about communication is determined by the smoothed speed of the car or truck affected.
  • the detector measured values which are available in a 10-second grid, are aggregated at 1-minute intervals.
  • the traffic volume for cars, trucks and vehicles, the average speed for cars, trucks, the maximum individual speed, the standard deviation of the speed, the occupancy rate and the errors for length and occupancy are calculated per lane.
  • v Car Truck (t) ⁇ v ⁇ v Car Truck (t) + (1- ⁇ v ) ⁇ v Car Truck (t-1) 0 ⁇ ⁇ v ⁇ 1
  • q Car Truck (t) ⁇ q ⁇ q Car Truck (t) + (1- ⁇ v ) ⁇ q Car Truck (t-1) 0 ⁇ ⁇ q ⁇ 1
  • the first measured value is for the speed at the start of smoothing or the first smoothed value saved as reference value if the bandwidth is exceeded. Every minute it is decided whether the newly calculated smoothed value within a defined range the reference value. If the bandwidth is exceeded the last smoothed value is transmitted. This represents the new speed level.
  • the following table uses a series of measurements from a BAB to show the effect of the smoothing parameter b and the bandwidth D for the traffic volume and the average speed on the communication between the aggregation module and the control center.
  • the exact numbers for class-related traffic and average speed should be calculated for each lane.
  • the current number of vehicles per vehicle class (cars, trucks) and per lane is added up every minute and the associated average speed is calculated. This summation continues until a new telegram is sent. Then the counters are set to zero and a new aggregation is started.
  • the duration of the aggregation interval must also be added for which these values apply.
  • the standard deviation per lane is calculated every minute from the current standard deviation of the last minute s and the aggregated standard deviation S of the current aggregation interval:
  • the error length and error assignment are in the aggregation interval summed.
  • the transmitted values for the smoothed traffic volume and speed as well as for standard deviation and occupancy for the individual future minute intervals are accepted in the control center until a new value is transmitted.
  • the smoothed values must be marked with a marker that determines whether the archived value is a real smoothed measured value or an updated (assumed) value for the time.
  • a separate archive must be created for the new total values for statistical evaluations.
  • the invention provides an extremely flexible method, with which with the connection of 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.
  • the described Way the various traffic-related values determined.
  • the standard deviation calculated.
  • the exponential takes place Smoothing and bandwidth checking for the values. Then the send / not send decision is made.
  • Figures 2 and 3 show a total of four diagrams of each Six-hour intervals, i.e. the traffic volume values for a whole day, each time in unsmoothed, smoothed as well as sent representation. They can be procedural results in terms of economic Recognize broadcast decisions.
  • the illustrations show how with the method according to the invention concrete values related to the measuring point recorded respectively calculated and sent. All recorded, calculated and further processed data and results are now available available to the appropriate road users Provide traffic information. For example, Travel times for planned routes or different ones calculate and display alternative routes. Also can be corresponding warnings and forecasts, including the forecast probabilities specify.

Landscapes

  • 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)

Claims (18)

  1. Procédé de détermination d'informations de trafic relatives à des voies de circulation, notamment à des autoroutes dans lequel, au moyen de détecteurs à poste fixe, on forme des sections de détection locaux, on mesure des valeurs de mesure liées au trafic, on les traite à l'avance au moyen d'ordinateurs locaux et on les norme sur une liste de données prescrite, on les agrège et on les exploite statistiquement et on les transmet à une installation de traitement de données de rang supérieur,
       caractérisé en ce que
       on lit les données agrégées et exploitées statistiquement au moyen d'ordinateurs locaux, on les met en relation avec une valeur de référence prescrite et on ne les transmet par transmission sans fil que dans le cas où l'on est au-dessus ou au-dessous d'un intervalle de valeur seuil fixée autour de la valeur de référence.
  2. Procédé suivant la revendication 1, caractérisé en ce que l'on détermine la valeur de référence à partir des données d'un intervalle de temps précédent.
  3. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on peut régler de manière variable l'intervalle de valeur seuil.
  4. Procédé suivant l'une des revendications précédentes, caractérisé en ce que, pour le traitement à l'avance local des données, on vérifie leur plausibilité à l'aide de comparaisons de modèles.
  5. Procédé suivant l'une des revendications précédentes, caractérisé en ce que, pour le traitement local à l'avance des valeurs de mesure, on effectue des calculs de valeurs moyennes.
  6. Procédé suivant l'une des revendications précédentes, caractérisé en ce que, à chaque transmission, on fait débuter un intervalle de temps de longueur prescrit à la fin duquel une transmission a lieu s'il n'y a pas eu un nouveau début par une transmission due à la situation.
  7. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on détermine comme valeur de mesure la vitesse du véhicule, l'intensité du trafic et l'occupation.
  8. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on détecte les valeurs de mesure en relation avec la voie de circulation.
  9. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on détermine comme valeur de mesure des valeurs de différenciation de type de véhicule.
  10. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on fixe un débit de transmission de données de plus en fonction de codes d'état.
  11. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on égalise les débits de transmission de données de section de détection voisines.
  12. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on associe comme installation de traitement de données de rang supérieur, un central pour toutes les sections de détection d'un réseau ou pour plusieurs installations de traitement de données de rang supérieur.
  13. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on calcule dans au moins une installation de traitement de données de rang supérieur, des informations de trafic liées à l'itinéraire par combinaison des données transmises de section de détection voisines.
  14. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on exploite les données pour faire faire l'itinéraire.
  15. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on exploite les données pour émettre des informations pour diriger le trafic.
  16. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on exploite les informations pour fournir des prévisions de développement de trafic.
  17. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on exploite les données pour émettre des informations sur la durée de voyage.
  18. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on exploite les données pour émettre des informations sur des embouteillages.
EP98117158A 1997-09-11 1998-09-10 Procédé de détection d'information sur le trafic Expired - Lifetime EP0902403B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19739914 1997-09-11
DE19739914 1997-09-11

Publications (3)

Publication Number Publication Date
EP0902403A2 EP0902403A2 (fr) 1999-03-17
EP0902403A3 EP0902403A3 (fr) 2000-08-23
EP0902403B1 true EP0902403B1 (fr) 2004-11-17

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ID=7841998

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EP98117158A Expired - Lifetime EP0902403B1 (fr) 1997-09-11 1998-09-10 Procédé de détection d'information sur le trafic

Country Status (6)

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EP (1) EP0902403B1 (fr)
AT (1) ATE282871T1 (fr)
DE (1) DE59812266D1 (fr)
DK (1) DK0902403T3 (fr)
ES (1) ES2231930T3 (fr)
PT (1) PT902403E (fr)

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0740280B1 (fr) * 1995-04-28 1999-07-28 INFORM Institut für Operations Research und Management GmbH Méthode de détection des pertubations pour trafic routièr

Also Published As

Publication number Publication date
DK0902403T3 (da) 2005-03-21
EP0902403A3 (fr) 2000-08-23
ATE282871T1 (de) 2004-12-15
EP0902403A2 (fr) 1999-03-17
ES2231930T3 (es) 2005-05-16
PT902403E (pt) 2005-02-28
DE59812266D1 (de) 2004-12-23

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