PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Powiadomienia systemowe
  • Sesja wygasła!
  • Sesja wygasła!
Tytuł artykułu

Comparison of different approaches to predict air pollution inside the tunnel tube

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper deals with models of air pollution inside a tunnel tube. Various gases are emitted by combustion engines. They consist largely of oxides of nitrogen, carbon monoxide, steam and particles (opacity). Since each tunnel is unique, the design of the model must be realized for the particular road tunnel. Data measured in the control center of the tunnel is used to create various models and to realize them in the program environment MATLAB. It is possible to describe this system by description of the equations of physical dependences. These physical dependencies are between the speeds, piston effect, traffic density, quantity produced pollution, etc. Next we plan to show how fuzzy sets can be used to represent a real system. Finally, we are going to describe this system by the parametric model. For the purpose of parametric identification it is interesting to describe the sought process using input-output relations. The general procedure for estimation of the process model consists of several steps: determination of the model structure, estimation of parameters and verification of the model.
Rocznik
Strony
9--13
Opis fizyczny
Bibliogr. 13 poz.
Twórcy
autor
  • University of Žilina, Faculty of Electrical Engineering, Department of Control and Information Systems, Univerzitná 1, SK-01026 Žilina, Slovakia
autor
  • University of Žilina, Faculty of Electrical Engineering, Department of Control and Information Systems, Univerzitná 1, SK-01026 Žilina, Slovakia
autor
  • University of Žilina, Faculty of Electrical Engineering, Department of Control and Information Systems, Univerzitná 1, SK-01026 Žilina, Slovakia
autor
  • University of Žilina, Faculty of Electrical Engineering, Department of Control and Information Systems, Univerzitná 1, SK-01026 Žilina, Slovakia
Bibliografia
  • [1] Kwong , W. A., Passino , K. M.: Dynamically focused fuzzy learning control. IEEE Trans. on Systems, Man, and Cybernetics, pp. 53–74 (1996)
  • [2] Wang , L.,X.: Fuzzy systems are universal approximators. In Proc. of the 1st IEEE Conf. on Fuzzy Systems, pages 1163–1170, San Deigo, ( 1992)
  • [3] Passino , M.K., Yurkovich , S.: Fuzzy Control, Addison-Wesley, pp. 502. ISBN 0–201–18074–X (1998)
  • [4] Pavelka , M., Přibyl, P.: Simulation of Air Motion and pollutions inside the Road Tunnel– Mathematical Model, OPTUN 228/06-EEG (2006)
  • [5] Huang , Z.Y., Wu, K., Xu, L.T.: Simulation analysis of longitudinal ventilation system with jet fan speed control for MPC strategy in a road tunnel, In. Proc. of the 15th International IEEE Conference on Intelligent Transportation Systems, Anchorage, Alaska, USA, September 16-19, pp. 1471-1476, ISBN: 978-1-4673-3064-0, ISSN 2153-0009 (2012)
  • [6] Holečko , P., Bubenikova, E., Pirnik, R.: Communication systems in transport hybrid ITS interface. In: Proc. of 9th international conference ELEKTRO 2012: Žilina Rajecke Teplice, Slovakia, May 21st-22nd. IEEE, pp. 292-298, ISBN 978-1-4673-1178-6 (2012)
  • [7] Yinghua He, Hong Wang , Bo Zhang .: Color-Based Road Detection in Urban Traffic Scenes, IEEE Transactions on intelligent transportation systems, vol. 5, no. 4, ISSN 1524-9050 (2004)
  • [8] Gavulova, A., Pirnik, R., Hudec , R.: Technical support of traffic control system of Slovak agglomerations in NaTIS project. In J. Mikulski (Ed.): TST 2011, CCIS vol. 239, pp. 382–391, Springer, Heidelberg (2011),
  • [9] Bastian , A., Hayashi , I.: An anticipating hybrid genetic algorithm for fuzzy modeling, J. Jpn. Soc. Fuzzy Theory Systems 10, 801-810 (1995)
  • [10] Hrbček, J., Šimak, V.: Implementation of Multi-dimensional Model Predictive Control for Critical Process with Stochastic Behavior, chapter in: Advanced Model Predictive Control, p.109-124, InTech, Tao Zheng (Ed.), ISBN 978-953-307-298-2 (2011)
  • [11] Johanson , R.: System modeling and identification, Prentice- Hall, pp. 512, ISBN 0-13-482308-7 (1993)
  • [12] Pirnik, R., Čapka , M., Halgas , J.: Non-invasive monitoring of calm traffic. Proceedings of international symposium on advanced engineering & applied management 40th anniversary in higher education, CD ver. S. II-107-112, ISBN 978-973-0-09340-7 (2011)
  • [13] Rastočny, K., Ždansky , J.: Specificities of safety PLC based implementation of the safety function. In: Proceedings of international conference applied electronics. AE 2012, Pilsen, pp. 229-232, ISBN 978-80-261-0038-6, ISSN 1803-7232 (2012)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f1b98707-f167-4fda-aa5e-99135d4527d6
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.