AbstractReal-world data are used to quantify the activity of long-haul sleeper cab trucks during extended idling and estimate baseline fuel use and emission rates, and to assess reductions achievable with idle reduction techniques. Twenty new in-service trucks equipped with auxiliary power units and shorepower capability, divided between single drivers and team drivers, were monitored for more than a year. Data were collected from each truck using existing electronic control units, additional installed sensors, and a satellite uplink. For single drivers, there was an average of 2130h of idling per truck, of which 1520h occurred for stops of 7h or more. The auxiliary power units were used 59% of the time for all stops and 68% for stops of 7h or more. Team drivers averaged only 770h of idling per truck and 29% overall auxiliary power units usage. There was substantial inter-driver variability, demonstrating the need for adequate sample size to reliably characterize activity patterns.


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    Titel :

    Methodology for characterization of long-haul truck idling activity under real-world conditions


    Beteiligte:
    Christopher Frey, H. (Autor:in) / Kuo, Po-Yao (Autor:in) / Villa, Charles (Autor:in)


    Erscheinungsdatum :

    2008-01-01


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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