Connected vehicle (CV) technology is expected to enhance a wide range of benefits to highway traffic. A critical research need lies in clarifying the cause-and-effect mechanism between the CV information and driver behaviors and performance measurements of CV effect on operation, safety, and emissions reductions at a certain highway facility. A synthetic methodology is developed to synergize the identified critical driver or vehicle operation factors that will be potentially impacted by the CV functionality via the CV supported systems (e.g., forward collision warning, freeway merging warning, and dynamic speed harmonization systems). A simulation-based testbed is generated to facilitate integrating relevant mobility models (e.g., intelligent driver model, models for measuring time-to-collision, and vehicle emission model vs. traffic flow operation) into a single platform. Possible impact ranges of involved parameters are theoretically analyzed. The demonstrated testing outcomes come from a proof-of-concept study of a freeway conjunction in Cincinnati area, Ohio.


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    Title :

    Modeling Connected Vehicle Impacts on Traffic Mobility, Safety, and Emission


    Contributors:
    Wei, Heng (author) / Liu, Hao (author) / Zuo, Ting (author) / Yang, Y. Jeffrey (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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