This project investigated the factors impacting individual vehicle energy consumption, including vehicle characteristics, ambient temperature, season, speed, driving behavior, and traffic flow. A fleet of 18 vehicles with a variety of ownership, size, model, year, and powertrain characteristics was monitored using on-board diagnostics II (OBD-II) loggers to collect each vehicle’s controller area network (CAN) bus data for a one-year period. Traffic data, including flow rate, space mean speed, and density, were also collected and linked with the vehicle data. Based on vehicle CAN bus data, fuel consumption models for gasoline vehicles were calibrated, and a new electricity consumption model for electric vehicles was proposed. Both models can reliably estimate individual vehicle energy consumption.


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    Titel :

    Investigation of the Link Between Macroscopic Traffic Flow Characteristics and Individual Vehicle Fuel Consumption


    Beteiligte:
    J. Dong (Autor:in) / L. Hu (Autor:in)

    Erscheinungsdatum :

    2017


    Format / Umfang :

    46 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch