Using a real-time prediction model of lane-based queue lengths, the authors predicted the lane-based delay using real-time prediction of the incremental queue accumulation (IQA), which can effectively overcome the difficulty of field data collection when using the IQA to calculate the delay. The authors used the Lighthill–Whitham–Richards (LWR) shockwave theory to analyze the IQA changes under different shockwaves. The proposed model was divided into underflow and overflow cases to illustrate the variation of the IQA when a residual queue exists. Two types of delay formulas were considered regarding the effects of the signal offset: coordinated lane and noncoordinated lane delays. The model was tested in a field experiment and compared with the Webster model and the Highway Capacity Manual IQA model, and the results showed that the model has satisfactory accuracy and strong robustness.


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    Titel :

    Real-Time Prediction of Lane-Based Delay Using Incremental Queue Accumulation


    Beteiligte:
    Li, Bing (Autor:in) / Cheng, Wei (Autor:in) / Li, Lishan (Autor:in)


    Erscheinungsdatum :

    2019-09-28




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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