Intelligent modelling with alternative approach: Application of advanced artificial intelligence into traffic management

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F17%3AA0000066" target="_blank" >RIV/47813059:19240/17:A0000066 - isvavai.cz</a>

Result on the web

<a href="http://www3.uniza.sk/komunikacie/archiv/2017/4/4_2017en.pdf" target="_blank" >http://www3.uniza.sk/komunikacie/archiv/2017/4/4_2017en.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Intelligent modelling with alternative approach: Application of advanced artificial intelligence into traffic management

Original language description

The currently existing transport infrastructures are failing due to many problems. This paper deals with presenting a new approach of modelling and forecasting transport processes using artificial intelligence. Firstly, the current state of forecasting transport data is presented; the traditional as well as new artificial intelligence methods, such as artificial neural networks, are discussed and described. After that, a support vector regression prediction model is briefly presented and an empirical analysis is performed. Finally, on the basis of our experiment and performed comparative analysis we state that artificial intelligence (AI) intelligent methods have potential in the transport area as they can improve the efficiency, safety, and environmental compatibility of transport systems.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

20205 - Automation and control systems

Project

<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

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

Name of the periodical

Komunikacie

ISSN

1335-4205

e-ISSN

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Volume of the periodical

19

Issue of the periodical within the volume

4

Country of publishing house

SK - SLOVAKIA

Number of pages

7

Pages from-to

36-42

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85037697379