Development of practical in-vehicle air quality vector time series models is useful for examining new (or enhancement of existing) control strategies for managing indoor air quality (IAQ) within the considered transit microenvironment. The models are helpful to the vehicle manufacturers in understanding the scope for preventing in-vehicle contaminant concentration buildup beyond permissible IAQ guidelines, and to the commuters in understanding the risks of exposure to various air contaminants. This study demonstrates the methodology to develop and validate the vector time series models (VARMA/VARMAX) for the in-bus contaminant concentrations of carbon dioxide and carbon monoxide using available software.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Vector time series models for prediction of air quality inside a public transportation bus using available software


    Contributors:

    Published in:

    Publication date :

    2014


    Size :

    5 Seiten




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Public transportation quality of service : factors, models, and applications

    Dell'Olio, Luigi / Ibeas, Angel / Oña, Juan de et al. | SLUB | 2018


    Public transportation quality of service: factors, models, and applications

    Askari, Sajad / Peiravian, Farideddin | Taylor & Francis Verlag | 2019


    Inside ITE - Position Available

    Online Contents | 2013


    TLSim: a Software for electric public transportation systems

    Allenbach,P. / Tuyuan,M. / Wetter,R. et al. | Automotive engineering | 2001


    TLSim: a software for electrical public transportation systems

    Allenbach, P. / Tuxuan, M. / Wetter, R. et al. | Tema Archive | 2001