In order to reduce the fuel consumption and exhaust emissions by transportation systems and alleviate the environmental problems caused by traffic pollution, the need to explore fuel economy and energy conservation and emissions reduction is increasing; this has become the focus of research in the field of transportation. Considering the subjectivity of drivers in the transportation system, the article uses driver familiarity as an influencing factor and explores the changes in fuel consumption and exhaust emissions at different familiarity levels using driving simulation and real-word driving. The reasons are analyzed, and the maximum speed at which drivers maintain low fuel consumption and low emissions is summarized. The results show that the driver’s fuel consumption and emissions are greater when driving for the first time compared to subsequent driving. When familiarity with the environment is high, the fuel consumption and emissions are significantly lower; at high familiarity, the lowest fuel consumption and emissions are produced at a maximum speed of 140 km/h. The results of the article are significantly different from the existing eco-driving training content, which will be able to serve as a complement to the training system.


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    Title :

    A Study of Fuel Consumption and Emissions Considering Driver Road Familiarity—Based on Driving Simulator and Real World Driving Data


    Contributors:
    Gao, Pei (author) / Man, Wu Si (author) / Zi, Ruo (author) / Zhou, Jian (author) / Li, Xin (author) / Zhang, Xuran (author)

    Conference:

    24th COTA International Conference of Transportation Professionals ; 2024 ; Shenzhen, China


    Published in:

    CICTP 2024 ; 2937-2948


    Publication date :

    2024-12-11




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English






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