Alternative intersection designs are popular existing strategies that can be used for handling heavy traffic in the U.S., and research on the performance of CAVs in the alternative intersection design can complement our knowledge of the impact of CAVs. Hence, this research attempts to mitigate this research gap through a simulation-based study on a superstreet, one of the popular alternative intersection designs. A real-world superstreet is selected for the simulation-based study with collected traffic volumes and average speeds. HDVs are modeled using Wiedemann 99 with calibrated parameters while CAVs are modeled using the intelligent driver model (IDM). Platooning and trajectory planning capabilities of CAVs are modeled in the designed simulation. The simulation results show that the proposed framework for CAVs can successfully reduce fuel consumption in different market penetration rates and traffic scales.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Platooning-based trajectory planning of connected and autonomous vehicles at superstreets


    Contributors:

    Published in:

    Publication date :

    2022-04-03


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning

    Zhao, Guangchen / Masoud, Neda / Zhu, Qi et al. | SAE Technical Papers | 2021


    Consensus-Based Fault-Tolerant Platooning for Connected and Autonomous Vehicles

    Tseng, Tzu-Yen / Huang, Ding-Jiun / Lin, Jia-You et al. | IEEE | 2023


    Platooning Trajectory Optimization for Connected Automated Vehicles in Coordinated Arterials

    Guerra, Agustin / Elefteriadou, Lily | Transportation Research Record | 2022



    Autonomous Platooning of General Connected Vehicles Using Bayesian Receding Horizon Control

    Johnson, Gilchrist / Furukawa, Tomonari / Park, B. Brian | TIBKAT | 2024