Traffic congestion at urban intersections is worsening, raising demands for better traffic management and urban planning. We use machine learning models to predict vehicle stop times and distances at intersections to characterize congestion. Analyzing traffic data from Atlanta, Boston, Chicago, and Philadelphia, we select features like location, driving direction, and time, and develop five models: Linear Regression, K-Nearest Neighbors, Decision Tree, Random Forest, and Gradient Boosting Tree. These models predict the 20th, 50th, and 80th percentiles of vehicle stop times and the distance from the intersection where a vehicle first stops. Results show that Random Forest and Gradient Boosting Tree models achieve the best accuracy and generalization, effectively capturing complex traffic patterns. This research offers a valuable tool for intersection traffic management.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Data-driven prediction of intersection traffic congestion


    Beteiligte:
    Feng, Zhengang (Herausgeber:in) / Mikusova, Miroslava (Herausgeber:in) / Dong, Hongxia (Autor:in) / Wang, Ning (Autor:in) / Zeng, Yiheng (Autor:in) / Zhu, Junlong (Autor:in) / Li, Xinyi (Autor:in) / Qiu, Haihua (Autor:in) / Yang, Xuejia (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering (STCE 2024) ; 2024 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 13575


    Erscheinungsdatum :

    28.04.2025





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Traffic intersection congestion prediction method based on machine learning

    XU WENBO / LIAO ZHIZHOU / HU SIQUAN et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Traffic intersection vehicle congestion detection method

    ZHANG YINGQIAN / LEI ZHIHAO / WANG ZHENG et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Intersection traffic control method for preventing congestion

    ZHANG MING | Europäisches Patentamt | 2016

    Freier Zugriff