Comparing the cooperative adaptive cruise control (CACC) with adaptive cruise control (ACC), acceleration information improves the tracking performance, but that would require communication. In this paper, an autoregressive model (AR model) based motion predictor is proposed to forecast the preceding vehicle movement at the next step by using the successive historical state information that only sensed and collected by the local sensors. On the basis of it, combining the existing works about car-following models, a new longitudinal following control model towards AVs is developed under the structure of optimal velocity theory. The stability analysis of the new model is derived and the results show that the stability condition can be indeed facilitated and the stable region in the headway-sensitivity space can be accordingly enlarged by utilizing the predicted results of preceding vehicle motion. The experiment and simulation are carried out based on the NGSIM dataset and the results are in great agreement with the analytical results, which demonstrates that the proposed longitudinal control strategy can improve the following performance of automated vehicles effectively.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Modeling Longitudinal Following Control Based on Preceding Vehicle Motion Predictor*


    Contributors:
    Li, Yang (author) / Sun, Dihua (author) / Zhao, Min (author) / Chen, Jin (author) / Jin, Shuang (author) / Liu, Zhongcheng (author)


    Publication date :

    2019-10-01


    Size :

    959905 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    PRECEDING VEHICLE FOLLOWING TRAVEL CONTROL DEVICE AND METHOD OF CONTROLLING PRECEDING VEHICLE FOLLOWING TRAVEL

    SATAKE TOSHIHIDE / SHIMIZU YUJI / KAKUTA TAKATOSHI | European Patent Office | 2017

    Free access

    Vehicle Control Apparatus, Vehicle Control Method, and Preceding Vehicle Following System

    SUGAWARA HIROKI / UENO KENTARO / ITO HIROSHI | European Patent Office | 2021

    Free access

    Car Following Control Model Considering Pre-preceding Vehicle Information

    Marumo, Y. / Tanaka, K. / Fukuyama, Y. et al. | British Library Online Contents | 2013