MX2019008978A - Un metodo para predecir un comportamiento de trafico en un sistema de caminos. - Google Patents

Un metodo para predecir un comportamiento de trafico en un sistema de caminos.

Info

Publication number
MX2019008978A
MX2019008978A MX2019008978A MX2019008978A MX2019008978A MX 2019008978 A MX2019008978 A MX 2019008978A MX 2019008978 A MX2019008978 A MX 2019008978A MX 2019008978 A MX2019008978 A MX 2019008978A MX 2019008978 A MX2019008978 A MX 2019008978A
Authority
MX
Mexico
Prior art keywords
request
predicting
traffic
road system
traffic behaviour
Prior art date
Application number
MX2019008978A
Other languages
English (en)
Inventor
Gil Aguirrebeitia Carlos
García Casado Rubén
Original Assignee
Kapsch Trafficcom 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 Kapsch Trafficcom Ag filed Critical Kapsch Trafficcom Ag
Publication of MX2019008978A publication Critical patent/MX2019008978A/es

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0129Traffic data processing for creating historical data or processing based on historical data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/54Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0133Traffic data processing for classifying traffic situation

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Traffic Control Systems (AREA)

Abstract

La invención se refiere a un método para predecir un comportamiento de tráfico en un sistema de caminos, que comprende las siguientes etapas llevadas a cabo por al menos un procesador (9, 11, 14, 17) conectado a una base de datos (7, 12, 16), la cual contiene un conjunto de perfiles de tráfico (6): agrupar los perfiles de tráfico (6); para cada grupo (CLi), determinar una medida de disimilitud (D); recibir una solicitud (Req) que tiene una o más etiquetas de solicitud (RT); comprobar si todas las etiquetas de solicitud (RT) coinciden con uno de los vectores distintivos (CVj) de los grupos (CLi), y si es así, producir un comportamiento de tráfico previsto (PTB), de lo contrario, eliminar una de las etiquetas de solicitud (RT) de la solicitud (Req) y regresar al inicio de tal etapa de comprobación.
MX2019008978A 2017-02-01 2018-01-23 Un metodo para predecir un comportamiento de trafico en un sistema de caminos. MX2019008978A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP17154099.0A EP3358541B1 (en) 2017-02-01 2017-02-01 A method of predicting a traffic behaviour in a road system
PCT/EP2018/051555 WO2018141583A1 (en) 2017-02-01 2018-01-23 A method of predicting a traffic behaviour in a road system

Publications (1)

Publication Number Publication Date
MX2019008978A true MX2019008978A (es) 2019-10-09

Family

ID=57963036

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2019008978A MX2019008978A (es) 2017-02-01 2018-01-23 Un metodo para predecir un comportamiento de trafico en un sistema de caminos.

Country Status (10)

Country Link
US (1) US11250031B2 (es)
EP (1) EP3358541B1 (es)
AU (1) AU2018215877B2 (es)
BR (1) BR112019012832A2 (es)
CA (1) CA3043672A1 (es)
ES (1) ES2753220T3 (es)
MX (1) MX2019008978A (es)
RU (1) RU2751381C2 (es)
WO (1) WO2018141583A1 (es)
ZA (1) ZA201905117B (es)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3358541B1 (en) 2017-02-01 2019-07-17 Kapsch TrafficCom AG A method of predicting a traffic behaviour in a road system
CN109239301B (zh) * 2018-09-12 2021-06-01 江苏科技大学 一种锚链闪光焊质量在线评估方法
CN110544378B (zh) * 2019-09-02 2020-11-03 上海评驾科技有限公司 一种手机用户拥车情况的判断方法
CN111192456A (zh) * 2020-01-14 2020-05-22 泉州市益典信息科技有限公司 一种道路交通运行态势多时间尺度预测方法
US11396309B2 (en) * 2020-04-03 2022-07-26 Toyota Connected North America, Inc. Management of vehicle sensors and responses to sensor data

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US20060122846A1 (en) * 2002-08-29 2006-06-08 Jonathan Burr Apparatus and method for providing traffic information
US8843309B2 (en) * 2005-04-21 2014-09-23 Microsoft Corporation Virtual earth mapping
US8024112B2 (en) * 2005-09-29 2011-09-20 Microsoft Corporation Methods for predicting destinations from partial trajectories employing open-and closed-world modeling methods
US7755509B2 (en) * 2007-09-20 2010-07-13 Traffic.Com, Inc. Use of pattern matching to predict actual traffic conditions of a roadway segment
US8972192B2 (en) * 2007-09-25 2015-03-03 Here Global B.V. Estimation of actual conditions of a roadway segment by weighting roadway condition data with the quality of the roadway condition data
GB0822893D0 (en) * 2008-12-16 2009-01-21 Tele Atlas Bv Advanced speed profiles - Further updates
US8817655B2 (en) * 2011-10-20 2014-08-26 Telefonaktiebolaget Lm Ericsson (Publ) Creating and using multiple packet traffic profiling models to profile packet flows
CA2756916A1 (en) * 2011-11-01 2013-05-01 University Of New Brunswick A bayesian method for improving group assignment and aadt estimation accuracy of short-term traffic counts
US8769677B2 (en) * 2012-07-12 2014-07-01 Telcordia Technologies, Inc. System and method for spammer host detection from network flow data profiles
US10037689B2 (en) * 2015-03-24 2018-07-31 Donald Warren Taylor Apparatus and system to manage monitored vehicular flow rate
US9368027B2 (en) * 2013-11-01 2016-06-14 Here Global B.V. Traffic data simulator
US9536424B2 (en) * 2014-02-10 2017-01-03 Here Global B.V. Adaptive traffic dynamics prediction
US9613527B2 (en) * 2014-09-26 2017-04-04 Here Global B.V. Method and apparatus for providing smaller incremental updates to a navigational database
US20160148267A1 (en) * 2014-11-20 2016-05-26 Blyncsy, Inc. Systems and methods for traffic monitoring and analysis
US10055504B2 (en) * 2015-04-09 2018-08-21 International Business Machines Corporation Aggregation of traffic impact metrics
US20160328654A1 (en) * 2015-05-04 2016-11-10 Agt International Gmbh Anomaly detection for context-dependent data
US9761133B2 (en) * 2015-06-26 2017-09-12 Here Global B.V. Determination of a free-flow speed for a link segment
US10147316B2 (en) * 2016-09-12 2018-12-04 Here Global B.V. Method, apparatus and computer program product for indexing traffic lanes for signal control and traffic flow management
US10762776B2 (en) * 2016-12-21 2020-09-01 Here Global B.V. Method, apparatus, and computer program product for determining vehicle lane speed patterns based on received probe data
US10490066B2 (en) * 2016-12-29 2019-11-26 X Development Llc Dynamic traffic control
EP3358541B1 (en) 2017-02-01 2019-07-17 Kapsch TrafficCom AG A method of predicting a traffic behaviour in a road system

Also Published As

Publication number Publication date
AU2018215877B2 (en) 2023-05-11
EP3358541A1 (en) 2018-08-08
RU2019119595A3 (es) 2021-05-28
RU2019119595A (ru) 2020-12-24
US20200012664A1 (en) 2020-01-09
EP3358541B1 (en) 2019-07-17
ZA201905117B (en) 2021-05-26
US11250031B2 (en) 2022-02-15
WO2018141583A1 (en) 2018-08-09
BR112019012832A2 (pt) 2019-11-19
AU2018215877A1 (en) 2019-06-13
ES2753220T3 (es) 2020-04-07
CA3043672A1 (en) 2018-08-09
RU2751381C2 (ru) 2021-07-13

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