• DocumentCode
    2689266
  • Title

    A distributed measurement system for smart monitoring of vehicle activities

  • Author

    Di Lecce, Vincenzo ; Amato, Alberto

  • Author_Institution
    D.I.A.S.S., Politec. di Bari, Taranto, Italy
  • fYear
    2010
  • fDate
    3-6 May 2010
  • Firstpage
    903
  • Lastpage
    907
  • Abstract
    Focus of this paper is to present an ITS used to certificate the correctness of vehicle activities. Due to the growing importance of transport system for the sustainability of the human society development, nowadays various intelligent transport systems (ITS) have been developed. In this work flexible ITS designed to handle various aspects of the hazardous material transport is presented. This system is able to monitor some vehicle´s activities starting from the measurement of parameters such as accelerations, positions, etc. A fuzzy inference system (FIS) was implemented to test the possibility of using the proposed system as a certifier of the correctness of these activities. In particular, the loading and unloading activity of a vehicle fleet used for the rubbish collection was monitored. The proposed system was developed and tested in the framework of a research project funded by Apulia Region (Italy).
  • Keywords
    Global Positioning System; automated highways; fuzzy systems; goods dispatch data processing; inference mechanisms; multi-agent systems; vehicles; distributed measurement system; fuzzy inference system; intelligent transport systems; smart monitoring; vehicle activities; Artificial intelligence; Condition monitoring; Fuzzy systems; Global Positioning System; Globalization; Humans; Intelligent systems; Intelligent vehicles; System testing; Vehicle driving; Distributed Measurement System; Fuzzy Inference System; Intelligent Transport System; component; vehicle activities monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE
  • Conference_Location
    Austin, TX
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-2832-8
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2010.5488206
  • Filename
    5488206