Adaptive ramp metering is designated to release on-ramp flow based on the level of congestion on the mainline freeway. This technique theoretically sounds to alleviate recurring and non-recurring congestions, but greatly relies on prompt on-ramp and mainline freeway traffic detections of speed and flow variations. However, the traditional fixed detectors are a barrier to the goal because of their incapability of quickly capturing the spatiotemporal patterns of congestion. With the emerging connected vehicle (CV) technology, it potentially provides a solution when the technology makes vehicles to become “floating sensors” that seamlessly cover the concerned highway over continuous time horizon. As a cost-effective, risk-free approach to quantitatively capture the CV-affected driver behaviors, the developed method is to explore the synthesis on the operation of ramp meters at a real-world freeway facility with CV support. The simulation results suggest positive benefits of improving freeway operation with ramp metering facility in CV environment.


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    Title :

    Improving Freeway Operation with Ramp Metering Control Using Connected Vehicles as “Floating Sensors”


    Contributors:
    Wei, Heng (author) / Liu, Hao (author) / Allam, Karteek Kumar (author) / Zuo, Ting (author) / Li, Zhixia (author)

    Conference:

    International Conference on Transportation and Development 2018 ; 2018 ; Pittsburgh, Pennsylvania



    Publication date :

    2018-07-12




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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