Transactions on Transport Sciences 2008, 1(4):193-202 | DOI: 10.5507/tots.2008.025

Information Power in Intelligent Transport Systems

P. Moos*, M. Svítek*, Z. Votruba*
Faculty of Transportation Sciences, Czech Technical University in PragueCzech Republic

The decision making process in the environment of an Intelligent transport system (ITS) with a high level of uncertainty is strongly dependent on the level of conceptual and contextual knowledge. The effectiveness of the decision making process of ITS relates to the available information power (P) which is considered as a vector in the plane given by the orthogonal system of information flow ( Φ ) and information content (I). The paper introduces the information power as data, information and knowledge alliance. This approach enables us to measure the ITS effectiveness through information power and yields directly to optimal prognoses given by information power maximization, or, in other words, information resonance.

Keywords: Information power, data, information, alliance, intelligent transport systems

Published: December 1, 2008  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Moos, P., Svítek, M., & Votruba, Z. (2008). Information Power in Intelligent Transport Systems. Transactions on Transport Sciences, 1(4), 193-202. doi: 10.5507/tots.2008.025
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Moos, P., Malinovský, V., 2008: Information systems and Technologies, text book, CTU, Prague, (In Czech).
    2. Vlček, J., 2002: Informační výkon text book CTU in Prague, (in Czech).
    3. Vlček, J., 2003: Znalostní inženýrství Edice monografií NNW, Praha 2003; ISBN 80- 903298-0-2, (in Czech).
    4. Svítek M., 2006: Dynamical Systems with Reduced Dimensionality, Monography NNW No.6, Czech Academy of Science, 161 pp., 2006, ISBN 80-903298-6-1.
    5. Svítek M., 2007: Complementary variables and its application in statistics, Neural Network World 3/ 2007, Prague, pp. 237 - 253.
    6. Svítek M., 2007: Wave probabilistic models, Neural Network World 5/2007, pp. 469 - 481, 2007.
    7. Svítek M., 2008: Quantum System Modeling, International Journal on General Systems, Vol. 37, No.5, pp. 603 - 626. Go to original source...
    8. Svítek, M., 2008: Wave probabilities and quantum entanglement, Neural Network World 5/2008, pp. 401 - 406.

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content