Intelligent Transportation System (ITS) technology is often aimed at improving vehicle safety and mobility. Lately a number of ITS applications are also focusing on environmental issues such as reducing greenhouse gases (through improved fuel economy) and reducing overall pollutant emissions. Typical environmental ITS applications (e.g., eco-routing) focus on reducing total mass vehicle emissions for generalized areas. To date however, environmental ITS applications haven't considered emissions from a pollutant exposure point-of-view. In this paper, we introduce a new vehicle routing methodology that goes beyond minimizing overall pollutant emissions, instead minimizing pollutant exposure to localized populations along roadways. As part of this effort, a unique modeling suite has been developed to allow for the evaluation of environmental ITS applications from a traffic emissions exposure point of view. For the routing algorithm, the human intake fraction that is commonly used for quantifying emission exposure is modeled and used as a routing cost. Experimental modeling results show that the intake fraction of particulate matter for 5–14 year-old school children on school days can be reduced approximately 80%–90% on a typical schoolday with the implementation of intelligent routing algorithms.


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    Titel :

    Vehicle road navigation to minimize pollutant exposure


    Beteiligte:
    Luo, Ji (Autor:in) / Vu, Alexander (Autor:in) / Barth, Matthew J. (Autor:in)


    Erscheinungsdatum :

    2013-06-01


    Format / Umfang :

    867037 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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