HighlightsVariable speed limit (VSL) control strategies are developed to reduce system delays using the connected vehicle (CV) technology.Three VSL strategies were developed using: a single CV for control, a single CV coupled with variable message signs, and multiple CVs.Adaptive schemes were developed for the three strategies to remedy potential control failures.Optimal control speeds under uncertainty are determined to maximize the expected delay savings.The stability of different VSL control strategies is analyzed in a probabilistic framework.

    AbstractThe connected vehicle (CV) technology is applied to develop VSL strategies to improve bottleneck discharge rates and reduce system delays. Three VSL control strategies are developed with different levels of complexity and capabilities to enhance traffic stability using: (i) only one CV (per lane) (Strategy 1), (ii) one CV (per lane) coupled with variable message signs (Strategy 2), and (iii) multiple CVs (Strategy 3). We further develop adaptive schemes for the three strategies to remedy potential control failures in real time. These strategies are designed to accommodate different queue detection schemes (by CVs or different sensors) and CV penetration rates. Finally, probability of control failure is formulated for each strategy based on the stochastic features of traffic instability to develop a general framework to (i) estimate expected delay savings, (ii) assess the stability of different VSL control strategies, and (iii) determine optimal control speeds under uncertainty. Compared to VMS-only strategies, the CV-based strategies can effectively impose dynamic control over continuous time and space, enabling (i) faster queue clearance around a bottleneck, (ii) less restrictive control with higher control speed (thus smoother transition), and (iii) simpler control via only one or a small number of CVs.


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    Titel :

    Variable speed limit control at fixed freeway bottlenecks using connected vehicles


    Beteiligte:
    Han, Youngjun (Autor:in) / Chen, Danjue (Autor:in) / Ahn, Soyoung (Autor:in)


    Erscheinungsdatum :

    2016-12-24


    Format / Umfang :

    22 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch