Modelling of the Interdependence Between Speed and Traffic Flow Density. A Neuro – Fuzzy Logic Approach

Branko Davidović, Aleksandar Jovanović

Апстракт


The speed-traffic flow density interdependence diagram has a number of variations, starting with the theoretical model, through various empirical models that were developed and models based on actual research done on traffic flow. The functional interdependence is obtained using the Sugeno fuzzy logic system, where representative values proposed in HCM 2010 have been adopted as parameters of output association functions. Subsequently the neural network is trained based on actual traffic flow data, which by adjusting the association function of the fuzzy logic system yields an output form of the basic traffic flow diagram. It was noticed that this hybrid expert system produces better output results by applying the “subtractive clustering“ method on data that are used for training a neural network. Finally, the model was tested on several input data groups, and the interdependence between speed and traffic flow density is shown in graphical form.

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DOI: http://dx.doi.org/10.7251/JTTTP1601031D

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ISSN: 2490-3477 (Print), 2490-3485 (Online)
UDC:656

COBISS.RS-ID 6892568

Published by .............. Pan-European University ’’Apeiron’’ Banja Luka
Person Responsible for the Publisher .............. Darko Uremović
Editor of University Publications .............. Aleksandra Vidović, Bosnia and Herzegovina

Editor in Chief .............. Mirsad Kulović
Editors .............. Drago Talijan, Danislav Drašković
Executive Technical Editors .............. Tanja Škorić, Slavko Davidović
Technical Editors .............. Sretko Bojić

Editorial Board
Vuk Bogdanović (Serbia)
Christopher Cherry (USA)
Ivan Dadić (Croatia)
Odić Denis (Belgium)
Nataša Gojković-Bukvić (Italy)
Lee D. Han (USA)
Esad Jakupović (Bosnia and Herzegovina)
Zoran Avramović (Serbia)
Jadranka Jović (Serbia)
Jurij Kolenc (Slovenia)
Krsto Lipovac (Serbia)
Snežana Pejčić-Tarle (Serbia)
Sreten Simović (Montenegro)
Pero Vidan (Croatia)
Qiang Yang (USA)

Lectors .............. Mirela Simić, Tanja Aničić
Web Design .............. Siniša Kljajić

Printed by .............. Markos, Banja Luka
Printed in 300 copies

Traffic and Transport Theory and Practice (TTTP) Journal is registered with the Ministry of Science and Technology of the Republic of Srpska by serial registration code 07.06/053-19/2016-1, date 07.  03. 2016. Traffic and Transport Theory and Practice (TTTP) Journal (ISSN 2490-3477-Print, 2490-3485 (Online) is an international journal published two time a year.

Indexed in:LICENSE AGREEMENT, 3.22.12. EBSCO Publishing Inc., Current Abstracts
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