When there are multiple lanes to choose from downstream of a turning movement, drivers should choose the innermost lane so that drivers at other approaches of the intersection may make concurrent turning movements in the outermost lane(s). However, human drivers do not always choose the innermost lane, which could lead to crashes with other vehicles. Therefore, predicting human driver behaviors is vital in reducing crashes, as the need to share the roadways with automated vehicles (AVs) continues to grow. In this research, various machine learning models have been used to predict the left turn destination lane choice of human-driven vehicles (HDVs) at urban intersections based on several quantifiable parameters. A total of 174 subject vehicles were extracted and analyzed in Los Angeles, California, and Atlanta, Georgia, using HDV trajectory data from the Next Generation SIMulation (NGSIM) database. Five machine learning techniques, namely binary logistic regression, k nearest neighbors, support vector machines, random forest, and adaptive neuro-fuzzy inference system, were applied to the extracted data to predict the lane choice behavior of drivers. The k nearest neighbors model showed the most promising results for the evaluated data with a correct decision score of over 93% for the unseen test data. This model may be programmed into: (i) AVs, in conjunction with sensors, to predict if an HDV is about to turn into the incorrect destination lane; and (ii) microscopic traffic simulation tools so that modelers can identify potential conflicts when HDVs do not select the appropriate destination lane.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections


    Beteiligte:
    Mohammed Moinuddin (Autor:in) / Logan Proffer (Autor:in) / Matthew Vechione (Autor:in) / Aaditya Khanal (Autor:in)


    Erscheinungsdatum :

    2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Modified Guidelines for Left-Turn Lane Geometry at Intersections

    Easa, S. M. / Ali, M. Z. A. | British Library Online Contents | 2005


    Development of Left-Turn Lane Warrants for Unsignalized Intersections

    Fitzpatrick, Kay / Brewer, Marcus A. / Eisele, William L. et al. | Transportation Research Record | 2012


    Development of Left-Turn Lane Warrants for Unsignalized Intersections

    K. Fitzpatrick / M. A. Brewer / J. S. Gluck et al. | NTIS | 2012