Modelling Hourly Vehicle Flows by a Finite Mixture of Simple Circular Normal Distributions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39914200" target="_blank" >RIV/00216275:25410/18:39914200 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ITSC.2018.8569788" target="_blank" >http://dx.doi.org/10.1109/ITSC.2018.8569788</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ITSC.2018.8569788" target="_blank" >10.1109/ITSC.2018.8569788</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modelling Hourly Vehicle Flows by a Finite Mixture of Simple Circular Normal Distributions

Popis výsledku v původním jazyce

Accurate modelling and representation of traffic flows is an important element of intelligent transportation systems, urban planning, and smart environments in general. In this work, location-specific hourly traffic flows are represented by finite mixtures of circular normal statistical distributions. The parameters of the finite mixtures are found by differential evolution, an evolutionary algorithm that is able to fit the statistical models to data with a high level of accuracy. The results are represented by circular plots that can be used as a form of visually appealing and easily understandable fingerprints of the underlying traffic flow patterns.

Název v anglickém jazyce

Modelling Hourly Vehicle Flows by a Finite Mixture of Simple Circular Normal Distributions

Popis výsledku anglicky

Accurate modelling and representation of traffic flows is an important element of intelligent transportation systems, urban planning, and smart environments in general. In this work, location-specific hourly traffic flows are represented by finite mixtures of circular normal statistical distributions. The parameters of the finite mixtures are found by differential evolution, an evolutionary algorithm that is able to fit the statistical models to data with a high level of accuracy. The results are represented by circular plots that can be used as a form of visually appealing and easily understandable fingerprints of the underlying traffic flow patterns.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

21st International Conference on Intelligent Transportation Systems, ITSC 2018 : proceedings

ISBN

978-1-72810-321-1

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

1285-1290

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Maui

Datum konání akce

4. 11. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000457881301044