Civil and Environmental Engineering

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https://ir.vanderbilt.edu/handle/1803/8763
Civil and Environmental Engineers have always tackled monumental problems, visualized the big picture, and developed innovative solutions to complex problems that have a major impact on people. At Vanderbilt, we are fortunate to work in a world-class university, doing world-class research and creating a life-sustaining legacy for future generations.

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Browsing Civil and Environmental Engineering by Title

Now showing 1 - 4 of 4
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    The Arizona Ring Experiments Dataset (ARED)
    (2018) Wu, Fangyu; Stern, Raphael E.; Cui, Shumo; Delle Monache, Maria Laura; Bhadani, Rahul; Bunting, Matt; Churchill, Miles; Hamilton, Nathaniel; Haulcy, R'mani; Piccoli, Benedetto; Seibold, Benjamin; Sprinkle, Jonathan; Work, Daniel
    Naturalistic driving data from a series of experiments to understand the development of phantom traffic jams.
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    Dataset of "Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study"
    (2023)
    Repository for the simulation output dataset associated with the paper "Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study" in IEEE ITSC 2023.
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    Dissipation of Stop-and-Go Waves via Control of Autonomous Vehicles: Experimental Results: Data
    (2017) Stern, Raphael E.; Cui, Shumo; Delle Monache, Maria Laura; Bhadani, Rahul; Bunting, Matt; Churchill, Miles; Hamilton, Nathaniel; Haulcy, R'mani; Pohlmann, Hannah; Wu, Fangyu; Piccoli, Benedetto; Seibold, Benjamin; Sprinkle, Jonathan; Work, Daniel B.
    This is the data that accompanies the paper titled, "Dissipation of stop-and-go waves via control of autonomous vehicles: experimental results" and includes all the data and code to generate all the figures that appeared in the paper.
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    Loss and Damage Estimation for Extreme Weather Events: State of the Practice
    (Sustainability, 2019-08) Doktycz, Charles; Abkowitz, Mark
    Extreme weather, climate-induced events that are episodic (e.g., hurricane, heatwave) or chronic (e.g., sea-level rise, temperature change) in nature, is occurring with increasing frequency and severity. This places a growing and time-sensitive need on the development and implementation of adaptation policies and practices. To motivate adaptive behavior, however, requires the ability to deliver improved risk-informed decision-making capability. At the crux of this challenge is the provision of full and accurate loss and damage accounting of the overall impact of an extreme weather event, enabling the business case to be made for adaptation investment. We define loss and damage as the manifestation of impacts associated with extreme weather that negatively affect human and natural systems. Progress in the development of adequate loss and damage accounting has been hampered by issues, such as discrepancies in conceptual frameworks, problems associated with data quantity and quality, and lack of standardized analysis methodologies. In this paper, we have discussed the conceptual basis for measuring loss and damage, reviewed the state of loss and damage data collection and modeling, and offered a narrative on the future direction of the practice.