Fuzzy cellular model for traffic data fusion

In this paper the requirements for road traffic models designed to collect complex data from vehicles detectors in a traffic control system are discussed. A cellular model is proposed that uses the theory of fuzzy sets to deal with these requirements and to enable traffic data fusion from various so...

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Main Author: Bartłomiej PŁACZEK
Format: Article
Language:English
Published: Silesian University of Technology 2009-01-01
Series:Transport Problems
Online Access:http://transportproblems.polsl.pl/pl/Archiwum/2009/zeszyt4/2009t4z4_14.pdf
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spelling doaj-cc014a7fb7024e39a2e3ee2d2a463b1b2020-11-24T23:39:22ZengSilesian University of TechnologyTransport Problems1896-05962009-01-0144115124Fuzzy cellular model for traffic data fusionBartłomiej PŁACZEKIn this paper the requirements for road traffic models designed to collect complex data from vehicles detectors in a traffic control system are discussed. A cellular model is proposed that uses the theory of fuzzy sets to deal with these requirements and to enable traffic data fusion from various sources. In the introduced approach all parameters of vehicles are described by means of fuzzy numbers. Vehicles are modelled individually, thus various classes of them can be taken into consideration. The model was implemented in a simulation of traffic flow at a crossroad approach. A discharge time of vehicles queue was analysed in this experiment and compared to the results of Nagel-Schreckenberg model.http://transportproblems.polsl.pl/pl/Archiwum/2009/zeszyt4/2009t4z4_14.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Bartłomiej PŁACZEK
spellingShingle Bartłomiej PŁACZEK
Fuzzy cellular model for traffic data fusion
Transport Problems
author_facet Bartłomiej PŁACZEK
author_sort Bartłomiej PŁACZEK
title Fuzzy cellular model for traffic data fusion
title_short Fuzzy cellular model for traffic data fusion
title_full Fuzzy cellular model for traffic data fusion
title_fullStr Fuzzy cellular model for traffic data fusion
title_full_unstemmed Fuzzy cellular model for traffic data fusion
title_sort fuzzy cellular model for traffic data fusion
publisher Silesian University of Technology
series Transport Problems
issn 1896-0596
publishDate 2009-01-01
description In this paper the requirements for road traffic models designed to collect complex data from vehicles detectors in a traffic control system are discussed. A cellular model is proposed that uses the theory of fuzzy sets to deal with these requirements and to enable traffic data fusion from various sources. In the introduced approach all parameters of vehicles are described by means of fuzzy numbers. Vehicles are modelled individually, thus various classes of them can be taken into consideration. The model was implemented in a simulation of traffic flow at a crossroad approach. A discharge time of vehicles queue was analysed in this experiment and compared to the results of Nagel-Schreckenberg model.
url http://transportproblems.polsl.pl/pl/Archiwum/2009/zeszyt4/2009t4z4_14.pdf
work_keys_str_mv AT bartłomiejpłaczek fuzzycellularmodelfortrafficdatafusion
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