Connected Vehicles (CVs) could enhance traffic management systems by providing detailed and real-time information. Theoretically, such information can be exploited for the provision of efficient movement of traffic, especially at intersections identified as the bottlenecks of traffic systems. Aimed at the same purpose, this paper uses information of CVs to estimate the Saturation Flow Rate (SFR), particularly in the transition period during which CVs and conventional vehicles will coexist. To this end, we retain the advantages of data-driven techniques to capture the underlying dynamics of the SFR by considering information of CVs as the only input. In this regard, we correlate the dynamic variations of the SFR to the mutual interactions among the contributing parameters extracted from the limited pieces of CVs’ information using a neural network. Comprehensive simulations under precisely designed settings in VISSIM show a hoped-for SFR estimation accuracy level, which can further augment intelligent intersection controller initiatives.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dynamically estimating saturation flow rate at signalized intersections: a data-driven technique


    Contributors:

    Published in:

    Publication date :

    2023-02-17


    Size :

    22 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Flow saturation model for signalized intersections

    Mussone, L. / Marescotti, L. | Tema Archive | 1998


    Calibration of Saturation Flow for Signalized Intersections

    Ren, Liang | Trans Tech Publications | 2015


    Impact of Guideline Markings on Saturation Flow Rate at Signalized Intersections

    Zhengtao Qin / Jing Zhao / Shidong Liang et al. | DOAJ | 2019

    Free access

    SATURATION FLOW ESTIMATION FOR SIGNALIZED INTERSECTIONS USING VEHICLE TRAJECTORY DATA

    ZHENG JIANFENG / LIU XIANGHONG | European Patent Office | 2020

    Free access

    Saturation Flow at Signalized Intersections during Longer Green Time

    Khosla, Karan / Williams, James C. | Transportation Research Record | 2006