Situation model of the transport, transport emissions and meteorological conditions
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Na stiahnutie
Dátum
2024
Názov časopisu
ISSN časopisu
Názov zväzku
Vydavateľ
Czech Technical University in Prague
ISBN
ISSN
1210-0552
2336-4335
2336-4335
Abstrakt
Air pollution in cities and the possibilities of reducing this pollution represent one of the most important factors that today’s society has to deal with. This paper focuses on a systemic approach to traffic emissions with their relation to meteorological conditions, analyzing the effect of weather on the quantity and dispersion of traffic emissions in a city. Using fuzzy inference systems (FIS) the model for predicting changes in emissions depending on various conditions is developed. The proposed model is based on traffic, meteorology and emission data measured in Prague, Czech Republic. The main objective of the work is to provide insight into how urban planners and policymakers can plan and manage urban transportation more efficiently with environmental protection in mind.
Popis
In: Neural Network World : international journal on non-standard computing and artificial intelligence. Praha : Czech Technical University in Prague, 2024. ISSN 1210-0552. Vol. 34, no. 1 (2024), pp. 27-36.
Kľúčové slová
doprava, transportation, transport, emisie, emissions, dopravné služby, inteligentné mestá, smart cities, cestná premávka, road traffic, Takagi-Sugeno fuzzy interferenčné systémy
Výstup z projektu
KEGA 001UMB-4/2023 Implementácia blended learningu do prípravy profesijného bakalára z informatiky a budúcich učiteľov matematiky a informatiky
Európska únia CZ.02.01.01/00/22 008/0004590 Robotics and Advanced Industrial Production (ROBOPROX)
Citácia
Práva a licenčné podmienky
info:eu-repo/semantics/openAccess