Drivers with certain characteristics may produce high fuel consumption in the same driving environment. However, it is not clear which personal characteristics will decrease the fuel efficiency, limited by insufficient test data of drivers with full information in the same uncontrolled scenarios. Therefore, we introduce a simulation method for calculating fuel consumption. First, agent driver models were established to reproduce the real drivers’ behavioral trajectory of car-following (CF) from the Naturalistic Driving Research Project (NDRP). Second, those models were tested in 288 CF scenes extracted from the NDRP data and the fuel consumption was calculated. Finally, the decision tree algorithm CHAID is used to identify the potential relationship between driver characteristics and fuel consumption. The result confirms that fuel consumption is strongly affected by driving style, mileage, and driving age, also showing that novice and experienced drivers consumes less fuel than drivers with moderate experience.


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    Titel :

    Impacts of Driver Characteristics on Fuel Consumption Based on Naturalistic Driving Experiment


    Beteiligte:
    Zhang, Duo (Autor:in) / Yan, Zhangcun (Autor:in) / Wang, Junhua (Autor:in) / Wang, Yinhai (Autor:in) / Sun, Jian (Autor:in)

    Kongress:

    22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China


    Erschienen in:

    CICTP 2022 ; 1263-1273


    Erscheinungsdatum :

    08.09.2022




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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