ATE188798T1 - TRAFFIC-DEPENDENT CONTROL OF TRAFFIC LIGHT SIGNAL SYSTEMS USING FUZZY LOGIC - Google Patents

TRAFFIC-DEPENDENT CONTROL OF TRAFFIC LIGHT SIGNAL SYSTEMS USING FUZZY LOGIC

Info

Publication number
ATE188798T1
ATE188798T1 AT97916338T AT97916338T ATE188798T1 AT E188798 T1 ATE188798 T1 AT E188798T1 AT 97916338 T AT97916338 T AT 97916338T AT 97916338 T AT97916338 T AT 97916338T AT E188798 T1 ATE188798 T1 AT E188798T1
Authority
AT
Austria
Prior art keywords
signal
module
traffic
weightings
signal group
Prior art date
Application number
AT97916338T
Other languages
German (de)
Inventor
Thorsten Mieden
Fritz Busch
Original Assignee
Siemens Ag
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 filed Critical Siemens Ag
Application granted granted Critical
Publication of ATE188798T1 publication Critical patent/ATE188798T1/en

Links

Classifications

    • 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

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Feedback Control In General (AREA)

Abstract

The disclosure relates to a traffic-responsive control system for traffic light systems using a multistage modular fuzzy control (FS) comprising an observation level (BE) and a control level (SE). In the observation level (BE) the processed detector values and data on signal group states (DSD) are processed, e.g. every second, in a first stage with the aid of a data-bank module (DBM) to form compressed signal group-related data. From the latter, in a second stage using a green time requirement module (GBM) and a signal groups weighting module (SGGM), the required green times of individual signal groups and the signal group weightings are calculated. In a third stage in the control level (SE), using a signal/frame plan adaptation module (SRAM) and based on the green time requirement for the subsequent signal cycle, the signal/frame plan is adapted for the subsequent signal cycle, and switching recommendations (SED) for signal groups are generated in a signal group updating module (SGAM) based on the signal/frame plan and the signal group weightings, or alternatively, in a phase-updating module (PAM), the signal group weightings are converted to phase weightings for switching recommendations for the current and/or subsequent phase.
AT97916338T 1996-03-12 1997-03-11 TRAFFIC-DEPENDENT CONTROL OF TRAFFIC LIGHT SIGNAL SYSTEMS USING FUZZY LOGIC ATE188798T1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19609680 1996-03-12
PCT/DE1997/000471 WO1997034274A1 (en) 1996-03-12 1997-03-11 Fuzzy logic-assisted traffic-responsive control system for traffic light systems

Publications (1)

Publication Number Publication Date
ATE188798T1 true ATE188798T1 (en) 2000-01-15

Family

ID=7788044

Family Applications (1)

Application Number Title Priority Date Filing Date
AT97916338T ATE188798T1 (en) 1996-03-12 1997-03-11 TRAFFIC-DEPENDENT CONTROL OF TRAFFIC LIGHT SIGNAL SYSTEMS USING FUZZY LOGIC

Country Status (5)

Country Link
EP (1) EP0886845B1 (en)
AT (1) ATE188798T1 (en)
AU (1) AU2503697A (en)
DE (1) DE59701006D1 (en)
WO (1) WO1997034274A1 (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001086610A1 (en) * 2000-05-05 2001-11-15 Siemens Aktiengesellschaft Method and device for determining an optimized selection of a frame signal diagram from a large number of frame signal diagrams for a traffic system
DE10021929A1 (en) * 2000-05-05 2001-11-15 Siemens Ag Computerized determination of control strategy for technical system involves using reinforcement learning to determine control strategy for each state and learn optimal actions
NL1018875C2 (en) * 2001-09-03 2003-03-05 Witteveen & Bos Raadgevende In Traffic light control regulates at least two crossing traffic flows and comprises at least two traffic lights stopping or releasing traffic flow
DE10208381B4 (en) * 2002-02-27 2005-04-28 Siemens Ag Method for controlling a traffic signal system
DE102008049568A1 (en) * 2008-09-30 2010-04-08 Siemens Aktiengesellschaft A method of optimizing traffic control at a traffic signal controlled node in a road traffic network
GB0916204D0 (en) 2009-09-16 2009-10-28 Road Safety Man Ltd Traffic signal control system and method
DE102011004841A1 (en) 2011-02-28 2012-08-30 Siemens Aktiengesellschaft Method and traffic signal control system for controlling traffic lights
US8903636B1 (en) 2013-12-02 2014-12-02 Abdualrahman Abdullah Mohammad Al Kandari Accident detection system and method for accident detection
CN104809892A (en) * 2015-04-02 2015-07-29 南通职业大学 Single intersection traffic signal fuzzy controller
CN110634308B (en) * 2019-09-26 2021-09-03 同济大学 Single-intersection signal control method based on vehicle queuing dissipation time
CN110634293B (en) * 2019-09-26 2021-06-04 同济大学 Trunk intersection control method based on fuzzy control

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE1940605A1 (en) * 1968-08-12 1970-02-19 Ibm Method for controlling a traffic light
US5357436A (en) * 1992-10-21 1994-10-18 Rockwell International Corporation Fuzzy logic traffic signal control system
DE19521927C2 (en) * 1995-06-09 1998-08-06 Inst Automation Und Kommunikat Method and device for traffic-dependent green time adjustment in a traffic signal system

Also Published As

Publication number Publication date
AU2503697A (en) 1997-10-01
EP0886845A1 (en) 1998-12-30
DE59701006D1 (en) 2000-02-17
WO1997034274A1 (en) 1997-09-18
EP0886845B1 (en) 2000-01-12

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