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Real-Time Vehicle Emission Monitoring and Location Tracking Framework

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099383" target="_blank" >RIV/61989100:27240/16:86099383 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-27400-3_19" target="_blank" >http://dx.doi.org/10.1007/978-3-319-27400-3_19</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-27400-3_19" target="_blank" >10.1007/978-3-319-27400-3_19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Real-Time Vehicle Emission Monitoring and Location Tracking Framework

  • Original language description

    Cars, trucks, and other vehicles typically run on gasoline or diesel, fuels release harmful chemicals in the air. These emissions can create a multitude of problems, including health issues and environmental degradation due to pollution. To reduce these emissions and the problems that they create, it is really important to monitor and control them more frequently. This paper tries to address these issues proposing a real-time vehicle emission monitoring and location tracking framework. The proposed framework uses two main technologies Vehicle On-Board Diagnostic (OBD-II) to monitor vehicle emission information and Assisted Global Positioning System (A-GPS) to get location of the vehicle at real-time. The existing wireless network infrastructure is used in supporting the emission and location data collection on a central server and further processing and presentation of the information is done. To evaluate the operational effectiveness of the developed framework, simulation based experiment is conducted. Real-time vehicle flow on selected roads is conducted using the microscopic simulation SUMO. Within 99 time interval integrated gas emission and location information about individual vehicle at different points of traffic roads is produced. The collected data is preprocessed, categorized and the information is proposed to be displayed on road users' mobile phone as well as on computer connected to the Internet. (C) Springer International Publishing Switzerland 2016.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 419

  • ISBN

    978-3-319-27399-0

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    211-221

  • Publisher name

    Springer Verlag

  • Place of publication

    London

  • Event location

    Pietermaritzburg

  • Event date

    Dec 1, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000381882900019