Modeling of the ecological condition of the large cities road network

• Autorzy: Zinko Roman , Stotsko Zenovij , Hlobchak Mykhaylo

Identyfikatory

DOI

10.14669/AM.VOL84.ART7

• Języki publikacji: EN

Abstrakty

EN

Recently the extensive growth of the vehicles number in large cities have been observed, which leads to the road network overload. The purpose of current article is to demonstrate the method of mathematical model creation for environmental monitoring at the crossroads. This mathematical model can be used in intelligent transport systems (ITS). The basic parameters for the mathematical model are selected basing on the knowledge structuring in the field of the road network (RN) environmental monitoring. Knowledge structuring about environmental contamination simplifies and demonstrates the choice of the mathematical model basic parameters for RN environmental monitoring. The mathematical model can be implemented by using the cellular automata (CA) theory. The method of creating the RN ecological condition modeling module, which can be used in ITS, is shown on the particular example. The knowledge structuring method in the field of RN state environmental monitoring and its implementation with help of the CA theory are suggested.

Słowa kluczowe

EN

environmental; monitoring; model; road; traffic

• Wydawca: Wydawnictwo Naukowe Sieci Badawczej Łukasiewicz - Przemysłowego Instytutu Motoryzacji
• Czasopismo: Archiwum Motoryzacji
• Rocznik: 2019
• Tom: Vol. 84, nr 2
• Strony: 91--101
• Opis fizyczny: Bibliogr. 22 poz., rys., tab., wykr., wz.

Twórcy

autor

Zinko Roman

• Department of Automotive Engineering, Lviv Polytechnic National University, 32 Bandera, 79013, Lviv, Ukraine

autor

Stotsko Zenovij

• Department of Designing and Operation of Machines, Lviv Polytechnic National University, 32 Bandera, 79013, Lviv, Ukraine

autor

Hlobchak Mykhaylo

• Department of Operation and Repair of Automotive Vehicles, Lviv Polytechnic National University, 32 Bandera, 79013, Lviv, Ukraine

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).