This article presents methods to estimate the location of a vehicle in the queue based on the vehicle's travel time traversing a signalized intersection. The methods focus on the queue discharging process, and calculate the location (in the queue) and acceleration rate of the vehicle simultaneously using kinematic equations. If such location information can be calculated for multiple sampled vehicles in a cycle, the dynamic profile of queue length of the cycle can be estimated. By using travel times, the methods can be applied to data collected via many newly emerged traffic data collection systems such as mobile sensors. The proposed methods are tested using data from simulation, a field experiment, and the Next Generation Simulation (NGSIM), and are compared with a previously developed queue length method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Kinematic Equation-Based Vehicle Queue Location Estimation Method for Signalized Intersections Using Mobile Sensor Data


    Beteiligte:
    Hao, Peng (Autor:in) / Ban, Xuegang (Jeff) (Autor:in) / Whon Yu, Jeong (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    03.07.2015


    Format / Umfang :

    17 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Queue Length Estimation Based on Probe Vehicle Data at Signalized Intersections

    Huidan Luo / Mingjun Deng / Jia Chen | DOAJ | 2023

    Freier Zugriff

    Queue Length Estimation at Signalized Intersections Based on Vehicle Trajectories

    Xiang, Daoquan / Xu, Mingtao / Yan, Yadan | TIBKAT | 2022


    Real-Time Queue Length Estimation for Signalized Intersections Using Vehicle Trajectory Data

    Li, Fuliang / Tang, Keshuang / Yao, Jiarong et al. | Transportation Research Record | 2017


    Queue Length Estimation at Signalized Intersections Based on Vehicle Trajectories

    Xiang, Daoquan / Xu, Mingtao / Yan, Yadan | ASCE | 2022