EP0501193B1 - Verfahren für eine selbsttätige verkehrstechnische Koordinierung eines unabhängigen Knotenpunkt-Steuergeräts einer Strassenverkehrs-Lichtsignalanlage mit einem oder mehreren Nachbarknoten - Google Patents

Verfahren für eine selbsttätige verkehrstechnische Koordinierung eines unabhängigen Knotenpunkt-Steuergeräts einer Strassenverkehrs-Lichtsignalanlage mit einem oder mehreren Nachbarknoten Download PDF

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Publication number
EP0501193B1
EP0501193B1 EP92101903A EP92101903A EP0501193B1 EP 0501193 B1 EP0501193 B1 EP 0501193B1 EP 92101903 A EP92101903 A EP 92101903A EP 92101903 A EP92101903 A EP 92101903A EP 0501193 B1 EP0501193 B1 EP 0501193B1
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EP
European Patent Office
Prior art keywords
cycle
variance
traffic
test
time
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
EP92101903A
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German (de)
English (en)
French (fr)
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EP0501193A1 (de
Inventor
Rolf Dr.-Ing. Böttger
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
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Publication date
Application filed by Siemens AG, Siemens Corp filed Critical Siemens AG
Publication of EP0501193A1 publication Critical patent/EP0501193A1/de
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Publication of EP0501193B1 publication Critical patent/EP0501193B1/de
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Classifications

    • 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

Definitions

  • the invention relates to a method for automatic traffic coordination according to the preamble of claim 1.
  • the object of the invention is therefore to provide a method for improving the control of an independent node, which automatically leads to a well-adapted operation of the light signal system.
  • the method according to the invention is used to systematically analyze the traffic flowing in from the neighboring node, which generally has a coordinated control, and to determine existing, cyclically occurring fluctuations in the traffic volume and to investigate the significance of these cycles using statistical methods.
  • the incoming traffic is recorded over a longer measurement period of, for example, several minutes in a narrow time grid with a very short interval, for example 5 seconds.
  • the number of vehicles per time interval is determined and saved. These measured values give a detailed description of the incoming traffic over this period, which is then examined for cyclical properties.
  • the measurement period under consideration is divided into test cycles with the same cycle time and the elementary measurement intervals are numbered from one within each test cycle.
  • the measured values with the same interval number are then added up within the test cycles, so that a cyclical mapping of the entire measurement period onto the selected test cycle is created, the mean value and variance of which are characteristic quantities for the cycle time under consideration of the test cycles.
  • the size of the variance represents a measure of the cyclical properties of the measured, inflowing traffic in relation to the considered cycle time of the test cycles.
  • the method according to the invention has the advantage that independent intersection devices can automatically carry out a coordinated control of the traffic signal system if a sufficiently significant cycle has been determined on the basis of the traffic measurement and evaluation of the vehicles approaching the nodes.
  • the detection of the vehicles and the determination of the traffic intensity is carried out continuously and the analysis is repeated at certain time intervals with the new measured values in order to detect any changes in the traffic intensity or the vehicle cycles and to be able to adapt the coordination accordingly.
  • the variance value of each test cycle is subjected to a compensation factor.
  • the reason for this is that the number of test cycles when dividing the fixed measurement period into test cycles essentially depends on the cycle time under consideration. Accordingly, the individual measured value sums in the mapping of the measurement period onto the respective test cycle consist of different numbers of summands: with large cycle times, few summands, with small cycle times, many. This also applies to the mean values: they are larger for small cycle times than for large ones, and the same applies to variances.
  • a compensation factor for the variance is therefore introduced, which is roughly inversely proportional to the mean values of the test cycle images for the different cycle times. The variance is thus assessed by normalizing the respective variance value to a fixed mean value that corresponds to a certain cycle time, e.g. 60 sec. Corresponds.
  • This method works very selectively with the described, relatively simple, statistical filter, as long as the intensity of the incoming traffic is uneven over one Cycle is distributed. So there must be fixed time ranges with high and low traffic intensity, which are repeated cyclically at equal time intervals in order to be able to recognize a vehicle cycle. This is usually the case with a traffic flow that leaves a signal-controlled intersection, unless turn-in and straight-ahead traffic are equally strong and merge into a single traffic flow, the intensity of which is then evenly distributed over a signal circulation. In this case, no vehicle cycle can then be recognized and a correspondingly coordinated control is also not necessary.
  • the traffic light system will then either carry out a traffic-dependent or a fixed-time control until a cyclical behavior is determined again on the basis of the constantly repeated analysis of the current traffic intensity.
  • the sum over the intervals 1, 11, 21, ..., 61 forms the first measuring point in FIG. 2 (for the interval 1 there).
  • a cycle time TZ of 50 sec this results in 10 time intervals.
  • the vehicle sums S determined per time interval are shown in FIG. (Mapping the measurement period to the test cycle).
  • An average value can then be calculated for this test cycle Zy.
  • the mean »here is 6.5.
  • the variance for this test cycle is determined, because the greater the variance, the better the test cycle matches the actual vehicle cycle.
  • the variance v is 2.72 for this exemplary embodiment.
  • cycle time TZ 90 sec
  • the vehicle sums for this test cycle Zy are shown in FIG. 4.
  • the mean value 3.667 was also determined and plotted.
  • the resulting variance v 5.765.
  • the variance v 1
  • the compensated variance v ′ also 1, because the compensated variance relates to the Test cycle with a cycle time of 60 sec.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Road Signs Or Road Markings (AREA)
EP92101903A 1991-02-26 1992-02-05 Verfahren für eine selbsttätige verkehrstechnische Koordinierung eines unabhängigen Knotenpunkt-Steuergeräts einer Strassenverkehrs-Lichtsignalanlage mit einem oder mehreren Nachbarknoten Expired - Lifetime EP0501193B1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE4106024 1991-02-26
DE4106024A DE4106024C1 (enExample) 1991-02-26 1991-02-26

Publications (2)

Publication Number Publication Date
EP0501193A1 EP0501193A1 (de) 1992-09-02
EP0501193B1 true EP0501193B1 (de) 1995-08-30

Family

ID=6425925

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Application Number Title Priority Date Filing Date
EP92101903A Expired - Lifetime EP0501193B1 (de) 1991-02-26 1992-02-05 Verfahren für eine selbsttätige verkehrstechnische Koordinierung eines unabhängigen Knotenpunkt-Steuergeräts einer Strassenverkehrs-Lichtsignalanlage mit einem oder mehreren Nachbarknoten

Country Status (5)

Country Link
EP (1) EP0501193B1 (enExample)
AT (1) ATE127258T1 (enExample)
DE (2) DE4106024C1 (enExample)
ES (1) ES2076573T3 (enExample)
GR (1) GR3017263T3 (enExample)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6177885B1 (en) 1998-11-03 2001-01-23 Esco Electronics, Inc. System and method for detecting traffic anomalies
DE10146398A1 (de) 2001-09-20 2003-04-17 Siemens Ag System zum Steuern von Lichtsignalgebern an Kreuzungen
CN1845202B (zh) * 2005-04-08 2010-10-13 王大海 交叉口间的交通协调控制系统
PL2280383T3 (pl) 2009-07-31 2012-10-31 Siemens Ag Sposób określania informacji o ruchu drogowym dla odcinka drogi w sieci drogowej jak również komputer sterujący ruchem drogowym do realizacji sposobu
CN103208193B (zh) * 2013-04-01 2014-12-10 哈尔滨工业大学 一种利用视频检测数据的城市相邻交叉口信号协调控制方法
CN104318790B (zh) * 2014-10-20 2016-06-15 青岛海信网络科技股份有限公司 一种交通信号灯配置方法及装置
CN109584581A (zh) * 2019-01-10 2019-04-05 浙江工业大学 基于傅里叶变换的数据驱动交叉口信号控制实际执行周期估计方法
CN110070707B (zh) * 2019-05-16 2021-06-11 吴鼎新 一种实现协同式自适应巡航控制车队组队与分离的方法
CN111785046B (zh) * 2020-06-30 2022-05-03 南通大学 带有协调路径优选功能的干道t型交叉口群绿波协调方法

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ATE75869T1 (de) * 1987-05-27 1992-05-15 Siemens Ag Verfahren zur messtechnischen erfassung der intensitaet des strassenverkehrs.

Also Published As

Publication number Publication date
EP0501193A1 (de) 1992-09-02
DE4106024C1 (enExample) 1992-04-02
GR3017263T3 (en) 1995-11-30
DE59203412D1 (de) 1995-10-05
ATE127258T1 (de) 1995-09-15
ES2076573T3 (es) 1995-11-01

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