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SE9501919L - Detection and prediction of traffic disturbances - Google Patents

Detection and prediction of traffic disturbances

Info

Publication number
SE9501919L
SE9501919L SE9501919A SE9501919A SE9501919L SE 9501919 L SE9501919 L SE 9501919L SE 9501919 A SE9501919 A SE 9501919A SE 9501919 A SE9501919 A SE 9501919A SE 9501919 L SE9501919 L SE 9501919L
Authority
SE
Sweden
Prior art keywords
detection
prediction
measurements
faster
standard deviation
Prior art date
Application number
SE9501919A
Other languages
Unknown language ( )
Swedish (sv)
Other versions
SE503515C2 (en
SE9501919D0 (en
Inventor
Kjell Olsson
Original Assignee
Dimbis Ab
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 Dimbis Ab filed Critical Dimbis Ab
Priority to SE9501919A priority Critical patent/SE503515C2/en
Publication of SE9501919D0 publication Critical patent/SE9501919D0/en
Priority to DE69631629T priority patent/DE69631629T2/en
Priority to EP96914510A priority patent/EP0771447B1/en
Priority to PCT/SE1996/000620 priority patent/WO1996036929A1/en
Publication of SE9501919L publication Critical patent/SE9501919L/en
Publication of SE503515C2 publication Critical patent/SE503515C2/en

Links

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

Landscapes

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

Abstract

The invention relates to a method for detection and prediction of incidents and traffic queues formed by overloading. This is done in real time with use of sensors in a road network. Predictions are used also to reach a faster and more reliable detection. Sensor measurements are also used in the process, where the comparison with expected values are used for successively updating stored parameter values for the involved algorithms. By this, the system can succeedingly adapt itself for changed situations. The strong traffic variations, that are naturally occurring at short time intervals are treated with the use of noise-based methods. By this, there are formed distribution related measures as e.g. the standard deviation, which can be estimated from measurements, and submit a base for estimating probabilities for deviations of a certain size, e.g. related to the standard deviation. Automatic incident detection (AID) is based on determination of the desired false-alarm rate, and the related threshold level. The method includes accumulated measurements. Faster and more reliable incident detections are received with the use of the invented prediction process method.
SE9501919A 1995-05-19 1995-05-19 Detection and prediction of traffic disturbances SE503515C2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
SE9501919A SE503515C2 (en) 1995-05-19 1995-05-19 Detection and prediction of traffic disturbances
DE69631629T DE69631629T2 (en) 1995-05-19 1996-05-13 Registration and prediction of traffic obstructions
EP96914510A EP0771447B1 (en) 1995-05-19 1996-05-13 Detection and prediction of traffic disturbances
PCT/SE1996/000620 WO1996036929A1 (en) 1995-05-19 1996-05-13 Detection and prediction of traffic disturbances

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
SE9501919A SE503515C2 (en) 1995-05-19 1995-05-19 Detection and prediction of traffic disturbances

Publications (3)

Publication Number Publication Date
SE9501919D0 SE9501919D0 (en) 1995-05-19
SE9501919L true SE9501919L (en) 1996-07-01
SE503515C2 SE503515C2 (en) 1996-07-01

Family

ID=20398415

Family Applications (1)

Application Number Title Priority Date Filing Date
SE9501919A SE503515C2 (en) 1995-05-19 1995-05-19 Detection and prediction of traffic disturbances

Country Status (4)

Country Link
EP (1) EP0771447B1 (en)
DE (1) DE69631629T2 (en)
SE (1) SE503515C2 (en)
WO (1) WO1996036929A1 (en)

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
SE509762C2 (en) * 1996-08-09 1999-03-08 Dinbis Ab Method and device for highway control
SE510430C2 (en) * 1998-01-30 1999-05-25 Dinbis Ab Method and device for network control of traffic
DE19805869A1 (en) * 1998-02-13 1999-08-26 Daimler Chrysler Ag Method and device for determining the traffic situation on a traffic network
US7221287B2 (en) 2002-03-05 2007-05-22 Triangle Software Llc Three-dimensional traffic report
WO2005013063A2 (en) 2003-07-25 2005-02-10 Landsonar, Inc. System and method for determining recommended departure time
NZ593062A (en) 2006-02-21 2012-04-27 Toyama Chemical Co Ltd Process for production of 3-[5-[4-cyclopentyloxy)-2-hydroxybenzoyl]-2-[(3-hydroxy-1,2-benzisoxazol-6-yl)methoxy]phenyl]propionate ester and intermediate for the process
DE102006033532A1 (en) * 2006-07-20 2008-01-24 Deutsche Telekom Ag Method and apparatus for generating early warnings of traffic congestions at bottlenecks
US9046924B2 (en) 2009-03-04 2015-06-02 Pelmorex Canada Inc. Gesture based interaction with traffic data
US8619072B2 (en) 2009-03-04 2013-12-31 Triangle Software Llc Controlling a three-dimensional virtual broadcast presentation
US8982116B2 (en) 2009-03-04 2015-03-17 Pelmorex Canada Inc. Touch screen based interaction with traffic data
EP2710571B1 (en) 2011-05-18 2019-11-20 Muddy River, Series 97 of Allied Security Trust 1 System for providing traffic data and driving efficiency data
CA2883973C (en) 2012-01-27 2021-02-23 Edgar Rojas Estimating time travel distributions on signalized arterials
US10223909B2 (en) 2012-10-18 2019-03-05 Uber Technologies, Inc. Estimating time travel distributions on signalized arterials
US9240123B2 (en) 2013-12-13 2016-01-19 Here Global B.V. Systems and methods for detecting road congestion and incidents in real time
US9336448B2 (en) 2014-08-11 2016-05-10 Here Global B.V. Variable speed sign value prediction and confidence modeling
US10109184B2 (en) 2014-10-08 2018-10-23 Here Global B.V. Probe based variable speed sign value
US11378403B2 (en) 2019-07-26 2022-07-05 Honeywell International Inc. Apparatus and method for terrain aided navigation using inertial position

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CH665497A5 (en) * 1981-11-12 1988-05-13 Alex Frauchiger Resolving and preventing traffic queues - by indicating modified speeds to vehicles based on waiting times and distances
SE470367B (en) * 1992-11-19 1994-01-31 Kjell Olsson Ways to predict traffic parameters

Also Published As

Publication number Publication date
DE69631629D1 (en) 2004-04-01
EP0771447A1 (en) 1997-05-07
WO1996036929A1 (en) 1996-11-21
SE503515C2 (en) 1996-07-01
EP0771447B1 (en) 2004-02-25
DE69631629T2 (en) 2004-12-23
SE9501919D0 (en) 1995-05-19

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