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Title:Incorporation of duffing oscillator and Wigner-Ville distribution in traffic flow prediction
Authors:ID Mrgole, Anamarija L. (Author)
ID Sever, Drago (Author)
Files:.pdf PROMET_2017_Mrgole,_Sever_Incorporation_of_duffing_oscillator_and_Wigner-Ville_distribution_in_traffic_flow_prediction.pdf (2,57 MB)
MD5: C6331F74AFFE338C2F3E42DF50679D38
 
URL http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/2116
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:The main purpose of this study was to investigate the use of various chaotic pattern recognition methods for traffic flow prediction. Traffic flow is a variable, dynamic and complex system, which is non-linear and unpredictable. The emergence of traffic flow congestion in road traffic is estimated when the traffic load on a specific section of the road in a specific time period is close to exceeding the capacity of the road infrastructure. Under certain conditions, it can be seen in concentrating chaotic traffic flow patterns. The literature review of traffic flow theory and its connection with chaotic features implies that this kind of method has great theoretical and practical value. Researched methods of identifying chaos in traffic flow have shown certain restrictions in their techniques but have suggested guidelines for improving the identification of chaotic parameters in traffic flow. The proposed new method of forecasting congestion in traffic flow uses Wigner-Ville frequency distribution. This method enables the display of a chaotic attractor without the use of reconstruction phase space.
Keywords:road traffic, congestion prediction, dynamic system, Wigner-Ville distribution, chaotic identification pattern
Publication status:Published
Publication version:Version of Record
Year of publishing:2017
Number of pages:str. 13-22
Numbering:Letn. 29, št. 1
PID:20.500.12556/DKUM-65990 New window
ISSN:0353-5320
UDC:656.1
ISSN on article:0353-5320
COBISS.SI-ID:20358166 New window
DOI:10.7307/ptt.v29i1.2116 New window
NUK URN:URN:SI:UM:DK:FRD4AMFC
Publication date in DKUM:02.06.2017
Views:1395
Downloads:401
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
MRGOLE, Anamarija L. and SEVER, Drago, 2017, Incorporation of duffing oscillator and Wigner-Ville distribution in traffic flow prediction. Promet [online]. 2017. Vol. 29, no. 1, p. 13–22. [Accessed 18 April 2025]. DOI 10.7307/ptt.v29i1.2116. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=65990
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Record is a part of a journal

Title:Promet
Shortened title:Promet
Publisher:Fakultet prometnih znanosti, Fakulteta za pomorstvo in promet, Universita degli studi di Trieste, Istituto per lo studio dei transporti nell'integrazione economica europea, Fakultet za saobračaj i komunikacije, Fakulta prevadzky a ekonomiky dopravy a spojov, Dopravni fakulta Jana Pernera
ISSN:0353-5320
COBISS.SI-ID:1416196 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:02.06.2017

Secondary language

Language:Slovenian
Title:Napovedovanje prometnega toka s pomočjo duffingovega oscilatorja in Wigner-Ville porazdelitve
Abstract:Osnovni namen študije je raziskati uporabo metode razpoznavanja kaotičnih vzorcev za uporabo pri napovedovanju zgostitve prometnega toka v cestnem prometu. Prometni tok je spremenljiv, dinamičen in kompleksen sitem, ki je nelinearen nepredvidljiv. Nastanek zgostitve prometnega toka na cestnem odseku ocenjujemo v časovnem intervalu, ko le-ta prične presegati kapaciteto cestnega odseka. Pod določenimi pogojih je mogoče zaznati kaotični vzorec v prometnem toku. Pregled literature teorije prometnega toka in njegovo povezavo s teorijo kaosa je prikazal veliko teoretično in praktično vrednost tovrstne metode. Raziskane metode identifikacije kaotičnega vzorca v prometnem toku so pokazale omejitve, zato je v nadaljevanju opisana smernica za izboljšavo prepoznavanja kaotičnih vzorcev v prometnem toku. Predlagana nova metoda za napovedovanje zgostitev v prometnem toku predlaga uporabo Wigner-Ville frekvenčne porazdelitve. Postopek omogoča prikaz kaotičnega atraktorja brez uporabe rekonstrukcije faznega prostora.
Keywords:cestni promet, prometni tok, preobremenjenost prometnih površin, napovedovanje prometa, dinamični sistemi, Wigner-Ville distribucija, identifikacija kaotičnega parametra


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