EP0293724A1 - Méthode pour la conception par mesure technique de l'intensité du trafic routier - Google Patents

Méthode pour la conception par mesure technique de l'intensité du trafic routier Download PDF

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Publication number
EP0293724A1
EP0293724A1 EP88108270A EP88108270A EP0293724A1 EP 0293724 A1 EP0293724 A1 EP 0293724A1 EP 88108270 A EP88108270 A EP 88108270A EP 88108270 A EP88108270 A EP 88108270A EP 0293724 A1 EP0293724 A1 EP 0293724A1
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EP
European Patent Office
Prior art keywords
traffic
signal
vehicles
alpha
compensation
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
EP88108270A
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German (de)
English (en)
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EP0293724B1 (fr
Inventor
Rolf Dr. Ing. Böttger
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Siemens AG
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Siemens AG
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Priority to AT88108270T priority Critical patent/ATE75869T1/de
Publication of EP0293724A1 publication Critical patent/EP0293724A1/fr
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/081—Plural intersections under common control
    • G08G1/082—Controlling the time between beginning of the same phase of a cycle at adjacent intersections
    • 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
    • G08G1/07—Controlling traffic signals
    • G08G1/08—Controlling traffic signals according to detected number or speed of vehicles

Definitions

  • the invention relates to a method for measuring the intensity of road traffic according to the preamble of claim 1, wherein the distribution of this intensity over the circulation of the existing signal system is considered and used to optimize the (traffic-dependent) control.
  • measurable and calculable quantities are necessary, according to which the quality of the traffic flow can be assessed.
  • target functions for the optimization are, for example, the waiting time and the number of stops that occur or, if evaluated accordingly, also the additional fuel consumption caused by the signaling systems.
  • Optimal coordination in a road network depends above all on the traffic load, its distribution in the network and the turn-in and turn-off proportions of traffic at the various nodes.
  • the incoming traffic in the form of intensity distributions over the signal circulation is measured in such a way that it can be determined in which time interval of the signal circulation how many vehicles per time unit flow to the traffic signal, see FIG. 1.
  • the currently active signal circulation is divided into small time intervals (eg 2 seconds). After each time interval has elapsed, it is determined how many vehicles have passed the detector in the respective interval.
  • This original measured value thus represents the number of vehicles per time interval and is denoted by a n, i , where n is the number of the signal circulation and i the number of the time interval during the signal circulation in which the value was recorded.
  • This procedure is also called exponential compensation or smoothing.
  • the value of the compensation factor ⁇ can also be selected depending on the rising or falling tendency of the original values in relation to the compensated values.
  • the use of the smoothing method has the advantage that balanced intensity distributions arise, which are largely free of very large, random and short-term fluctuations and contain characteristic, statistically reliable information about the traffic in the last five to ten signal cycles (depending on ⁇ ).
  • the metrological recording and preparation of the intensity distribution for the traffic arriving in the individual accesses is shown in FIG. 1.
  • the currently active signal circulation U here for example 60 seconds
  • the time intervals are labeled i and are numbered accordingly.
  • n is the number of the signal circulation and i the number of the time interval during the signal circulation in which the value was recorded.
  • these original measured values can only assume a maximum of three states, namely 0.1 or 2.
  • a n, i a n-1, i + ⁇ ⁇ (a n, i - a n-1, i ), where the parameter ⁇ is a predeterminable compensation factor (0 ⁇ ⁇ 1), the choice of which allows the strength of the statistical compensation to be carried out to be set directly. It is thus possible to react more sensitively to a rising tendency of the original measurement value than to a falling tendency.
  • the associated balanced intensity distributions (au) existing at the respective revolving point for the traffic arriving in the access road, divided into two-second intervals (i 1,2, ... 30), are recorded.
  • the greater frequency for the arrival of vehicles in the first half of the signal circulation compared to the second half can be clearly seen and is quantitatively expressed directly in the size of the balanced measured values.
  • the balanced intensity distribution is not only up to date at the end of a signal cycle, as shown in Fig.
  • the value of ⁇ determines the strength of the statistical balance.
  • ⁇ the strength of the statistical balance.
  • the coordination of nodes With every optimization there must be a so-called target function, i.e. a quality measure for the traffic flow, the size or value of which is measured from the intensity distributions measured in each case, the associated signaling (temporal position and duration of the red and green periods) and their temporal assignment to one another and finally the discharge law related to the stop line can be calculated during the green time.
  • target function i.e. a quality measure for the traffic flow
  • the associated signaling temporary position and duration of the red and green periods
  • the discharge law related to the stop line can be calculated during the green time.
  • FIG. 2 shows the distribution of the traffic intensity and its development within three hours.
  • the balanced mean is shown on the ordinate a shown in number of vehicles.
  • the abscissa shows the time of a round trip U in seconds, the first round trip and the last two signal round trips being 70 seconds, while all other intermediate runs are 90 seconds.
  • These statistically balanced intensity distributions follow the essential changes in the traffic distribution and load at a time interval dependent on the compensation factors ⁇ 1 and ⁇ 2. This is shown here in Fig. 2 from the beginning to the end of the morning peak for an access road that has to accommodate both heavy turn-in and straight-ahead traffic. At 6.15 a.m., the signaling system is still running for 70 seconds, the traffic is very light.
  • this group mainly consists of left-handers at the pre-intersection, who can only turn in after oncoming traffic has ended, but the proportion of right-hand turns is very small. Other conditions prevail around 8.15 a.m.
  • the traffic turning on the left Pre-intersection is only weak, on the other hand the traffic turning right has increased significantly. These right-handers are therefore more left-handers at the measuring point than before, and this explains the earlier start of the group.
  • Such subtleties in the traffic distribution at the pre-intersection can be easily determined in terms of measurement technology within this framework and the optimization method also responds with a corresponding recommendation for the optimal coordination if these conditions, as shown here in FIG Continue for 10 to 15 minutes.
  • This average number of vehicles during a signal circulation in the access can be determined both from the distribution of the traffic intensity and by other suitable measuring methods.
  • the time length of the intensity distributions is automatically shortened or extended in accordance with the new orbital period. After changing the round trip time, you have to wait a few round trips before the new measured intensity distributions are meaningful again.
  • this cycle or module function establishes a temporal relationship from the detector (measuring point MS) to the stop line HL or the traffic signal SG.
  • mod U means that all amounts in parentheses (see above) that exceed or fall below the cycle from 0 to U are reduced or increased by a multiple of U so that 0 ⁇ F ⁇ U.
  • the method normally presupposes that the balanced distribution of the traffic intensity recorded by means of the signal circulation U moves towards the next stop line HL at a predetermined speed v (m / sec) or also determined via the detector assignment, and there is correspondingly time-shifted with respect to the measuring point MS arrives.
  • This residual build-up occurs if, for example, there is possibly only a short-term overload, ie if the inflow Z in circulation (sum over the associated intensity distribution) is greater than the maximum outflow A in the green time G.
  • the value of SR calculated in this way can still be checked by the current detector assignment. At each green end, such a determination of SR takes place.
  • FIG. 3 also shows how the time allocation F between the measured intensity distribution at the measuring point MS and the stop line HL changes depending on the residual congestion SR present in each case.
  • 3 shows various examples of different sized residual congestion SR1 to SR4, the shift F or (F-U) and the associated traffic management purely schematically.
  • the measuring point MS is arranged at a detector distance DA from the stop line HL, a revolution U is assumed to be 60 seconds here.
  • AW is the start-up shaft in the associated residual accumulation SR and v is the inflow speed to the end of the accumulation.
  • a free inflow to the stop line is shown on the left, in which the vehicles can travel through the inflow speed v (in meters per second) to the stop line HL.
  • a backflow SR1 is shown, which has the consequence that the time allocation FU here shifts by 9 seconds in the negative range in this example. This means that if the signal generator SG starts its green time at the stop line HL 9 seconds earlier than the start of the main group is determined at the measuring point, the main group will arrive at the end of the residual congestion SR1 exactly when the last vehicle is in there Has set movement. This avoids the unnecessary stopping of the main group.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)
EP88108270A 1987-05-27 1988-05-24 Méthode pour la conception par mesure technique de l'intensité du trafic routier Expired - Lifetime EP0293724B1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AT88108270T ATE75869T1 (de) 1987-05-27 1988-05-24 Verfahren zur messtechnischen erfassung der intensitaet des strassenverkehrs.

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE3717982 1987-05-27
DE3717982 1987-05-27

Publications (2)

Publication Number Publication Date
EP0293724A1 true EP0293724A1 (fr) 1988-12-07
EP0293724B1 EP0293724B1 (fr) 1992-05-06

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EP88108270A Expired - Lifetime EP0293724B1 (fr) 1987-05-27 1988-05-24 Méthode pour la conception par mesure technique de l'intensité du trafic routier

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EP (1) EP0293724B1 (fr)
AT (1) ATE75869T1 (fr)
DE (1) DE3870709D1 (fr)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0475874A2 (fr) * 1990-09-12 1992-03-18 SOCIETE D'ETUDES ET DE REALISATIONS ELECTROTECHNIQUES ET ELECTRONIQUES SEREL FRANCE Société anonyme Installation de régulation automatique du trafic à un carrefour
DE4106024C1 (fr) * 1991-02-26 1992-04-02 Siemens Ag, 8000 Muenchen, De
EP0681277A2 (fr) * 1994-05-04 1995-11-08 Siemens Aktiengesellschaft Procédé pour mesurer en continu l'écoulement actuel du trafic sur un carrefour
WO1998024080A1 (fr) * 1996-11-27 1998-06-04 Mannesmann Ag Procede de determination de donnees d'itineraires
GB2373619A (en) * 2001-03-23 2002-09-25 Golden River Traffic Ltd Measurement of traffic density
WO2006128819A1 (fr) * 2005-05-31 2006-12-07 Siemens Aktiengesellschaft Procede pour determiner des taux de changement de direction dans un reseau routier
EP2161698A1 (fr) * 2008-09-03 2010-03-10 Siemens AG Procédé de coordination de noeuds commandés par signal lumineux dans un réseau routier
CN112533140A (zh) * 2020-11-24 2021-03-19 天津市市政工程设计研究院 一种基于指数的共享单车分布情况评估方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CH470039A (de) * 1968-04-10 1969-03-15 Jauk Johann Verkehrsabhängig gesteuerte Verkehrssignalanlage
DE2739863A1 (de) * 1977-09-05 1979-03-15 Siemens Ag Verfahren zur gruenzeitbemessung bei verkehrsabhaengig steuerbaren strassenverkehrssignalanlagen und einrichtung zur durchfuehrung des verfahrens
DE2911734A1 (de) * 1979-03-26 1980-10-16 Siemens Ag Verfahren zur messung von verkehrsstoerungen
DE3608890A1 (de) * 1986-03-17 1987-09-24 Siemens Ag Verfahren zur koordinierung von strassenverkehrssignalanlagen
DE3621842A1 (de) * 1986-06-30 1988-01-07 Siemens Ag Verfahren zur verkehrsabhaengigen gruenzeitbemessung in strassenverkehrssignalanlagen

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CH470039A (de) * 1968-04-10 1969-03-15 Jauk Johann Verkehrsabhängig gesteuerte Verkehrssignalanlage
DE2739863A1 (de) * 1977-09-05 1979-03-15 Siemens Ag Verfahren zur gruenzeitbemessung bei verkehrsabhaengig steuerbaren strassenverkehrssignalanlagen und einrichtung zur durchfuehrung des verfahrens
DE2911734A1 (de) * 1979-03-26 1980-10-16 Siemens Ag Verfahren zur messung von verkehrsstoerungen
DE3608890A1 (de) * 1986-03-17 1987-09-24 Siemens Ag Verfahren zur koordinierung von strassenverkehrssignalanlagen
DE3621842A1 (de) * 1986-06-30 1988-01-07 Siemens Ag Verfahren zur verkehrsabhaengigen gruenzeitbemessung in strassenverkehrssignalanlagen

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0475874A2 (fr) * 1990-09-12 1992-03-18 SOCIETE D'ETUDES ET DE REALISATIONS ELECTROTECHNIQUES ET ELECTRONIQUES SEREL FRANCE Société anonyme Installation de régulation automatique du trafic à un carrefour
EP0475874A3 (en) * 1990-09-12 1993-01-13 Societe D'etudes Et De Realisations Electrotechniques Et Electroniques Serel France Societe Anonyme Equipment for an automatic control of the traffic at a crossroad
DE4106024C1 (fr) * 1991-02-26 1992-04-02 Siemens Ag, 8000 Muenchen, De
EP0501193A1 (fr) * 1991-02-26 1992-09-02 Siemens Aktiengesellschaft Méthode pour la coordination automatique d'un dispositif indépendant de commande de feux de signalisation d'un carrefour avec un ou plusieurs carrefours voisins
EP0681277A2 (fr) * 1994-05-04 1995-11-08 Siemens Aktiengesellschaft Procédé pour mesurer en continu l'écoulement actuel du trafic sur un carrefour
EP0681277A3 (fr) * 1994-05-04 1997-05-14 Siemens Ag Procédé pour mesurer en continu l'écoulement actuel du trafic sur un carrefour.
WO1998024080A1 (fr) * 1996-11-27 1998-06-04 Mannesmann Ag Procede de determination de donnees d'itineraires
GB2373619A (en) * 2001-03-23 2002-09-25 Golden River Traffic Ltd Measurement of traffic density
WO2006128819A1 (fr) * 2005-05-31 2006-12-07 Siemens Aktiengesellschaft Procede pour determiner des taux de changement de direction dans un reseau routier
US7894979B2 (en) 2005-05-31 2011-02-22 Siemens Aktiengesellschaft Methods for determining turning rates in a road network
EP2161698A1 (fr) * 2008-09-03 2010-03-10 Siemens AG Procédé de coordination de noeuds commandés par signal lumineux dans un réseau routier
CN112533140A (zh) * 2020-11-24 2021-03-19 天津市市政工程设计研究院 一种基于指数的共享单车分布情况评估方法
CN112533140B (zh) * 2020-11-24 2021-10-12 天津市赛英工程建设咨询管理有限公司 一种基于指数的共享单车分布情况评估方法

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Publication number Publication date
EP0293724B1 (fr) 1992-05-06
ATE75869T1 (de) 1992-05-15
DE3870709D1 (de) 1992-06-11

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