In this paper, a platoon-merging control system is considered as a remotely located system with a state represented by a stochastic process. In this system, it is common to encounter situations where a single decision maker controls a large number of subsystems, and observation and control signals are sent over a communication channel with finite capacity and significant transmission delays. Unlike a classical estimation problem where the observation is a continuous process corrupted by additive noise, there is a constraint that the observation must be coded and transmitted over a digital communication channel with finite capacity. A recursive coder-estimator sequence is a state estimation scheme based on observations transmitted with finite communication capacity constraint. In this paper, we introduce a stochastic model for the lead vehicle in a platoon of vehicles in a lane considering the angle between the road surface and a horizontal plane as a stochastic process. In order to merge two platoons, the lead vehicle of the following platoon is controlled by a remote control station. Using the coder-estimator sequence, the remote control station designs the feedback controller. The simulation results show that the inter-vehicle distance and the deviation from the desired inter-vehicle distance are well regulated.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Remote-controlled platoon merging via coder-estimator sequence algorithm for a communication network


    Contributors:
    Jae Weon Choi (author) / Tae Hyun Fang (author) / Kwong, S. (author) / Kim, Young-Ho (author)

    Published in:

    Publication date :

    2003


    Size :

    7 Seiten, 7 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





    Merging Behavior Simulation of Vehicular Platoon

    Kita, Eisuke / Yamada, Miichiro / Ishizawa, Daisuke | Springer Verlag | 2019


    Deep Q-Network-Enabled Platoon Merging Approach for Autonomous Vehicles

    Wang, Jiawen / Hu, Chenxi / Zhao, Jing et al. | Transportation Research Record | 2023


    Trajectory planning algorithm for merging control of heterogeneous vehicular platoon on curve road

    Chentong Bian / Guodong Yin / Liwei Xu et al. | DOAJ | 2022

    Free access

    Vehicle Velocity Control in Case of Vehicle Platoon Merging

    Kita, Eisuke / Yamada, Miichiro | IEEE | 2019