This study presents a path-based network equilibrium model for long-haul electric trucks (e-trucks), navigating the U.S. highway network. Emphasizing e-trucks' unique operational characteristics, the model, built on a background passenger car traffic, integrates essential travel costs, including travel and charging times, as well as mandated rest periods. The Method of Successive Averages (MSA) is utilized in our algorithm. A comparative analysis with conventional diesel trucks, using a streamlined version of the U.S. national highway network, reveals extended travel times for electric trucking, primarily due to charging requirements. Empirical findings show that e-trucks experience a significant increase in total travel time, about 55.9% more than their diesel counterparts. This delay, largely due to prolonged charging (including waiting) times, could potentially be offset through strategic infrastructure development and policy interventions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Network Equilibrium Modeling for Long-Haul Electric Trucks


    Contributors:
    Cheng, Xi (author) / Lin, Jane (author)


    Publication date :

    2024-02-26


    Size :

    575147 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Hydrogen Powertrain Designs for European Long-Haul Trucks

    Godard, Kevin / Chauvin, Laurent / Vacquier, Christoph et al. | TIBKAT | 2021


    Optimizing waste heat recovery for long-haul trucks

    British Library Online Contents | 2016


    New Mighty Mine Haul Trucks

    Online Contents | 2010


    Haul trucks: The next generation

    Carter, R.A. | Tema Archive | 1993