This paper presents a new mixed traffic flow model considering the vehicle size (e.g. small car and truck), human driving style and CV technology, which can describe the car-following (CF) behavior with better generality. In particular, the safety distance formulation in car-following theory is re-built by additionally studying the relationship between human driving style, vehicle size and desired following gap. Then, the new mixed CF model is derived by fusing the re-built safety distance formulation, Helly model and vehicle-to-infrastructure (V2I) communication. Moreover, the stability condition of the proposed model is analyzed by perturbation method. Besides, according to the comparison between real data from radio frequency identification devices (RFID) and the simulated data, the proposed model can better reproduce the evolution process of actual transportation systems. Furthermore, the simulation experiments verify the mixed traffic with multi-size vehicles performance can be improved with the increasing penetration rate of connected vehicles.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Novel Mixed Traffic Flow Model Considering V2I, Vehicle Size and Driving Style Difference


    Contributors:
    Sun, Dihua (author) / Zhang, Chi (author) / Zhao, Hang (author) / Zhao, Min (author)


    Publication date :

    2021-09-19


    Size :

    2082084 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Vehicle braking control method considering driving style

    TANG BENKAN / LAI FENG / WANG YUKUN et al. | European Patent Office | 2024

    Free access

    Stackelberg-Game-Based Vehicle Lane-Changing Model Considering Driving Style

    Du, Changqing / Wu, Dongmei / Liang, Qingyang et al. | SAE Technical Papers | 2022



    Stackelberg-Game-Based Vehicle Lane-Changing Model Considering Driving Style

    Wu, Dongmei / Liang, Qingyang / Du, Changqing et al. | British Library Conference Proceedings | 2022