Theses and Dissertations from UMD

Permanent URI for this communityhttp://hdl.handle.net/1903/2

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a give thesis/dissertation in DRUM

More information is available at Theses and Dissertations at University of Maryland Libraries.

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    AN INTEGRATED AGBM-DTA MODEL FOR OPTIMIZING THE TRANSPORTATION SYSTEM BENEFITS OF PERSONALIZED MONETARY AND NON-MONETARY INCENTIVES
    (2021) Zhao, Jun; Zhang, Lei; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    The employment of different types of incentives in transportation systems to form advanced transportation congestion management solutions has garnered significant attention recently. This dissertation develops an integrated and personalized incentive scheme to incentivize more system-beneficial travel and mobility options considering both monetary and non-monetary incentives. In real-world case, when offered different travel options, the users usually choose the options with higher individual benefits, while the incentive providers aim to maximize system benefits. Therefore, conflicts occur between the agents (the users) and the principals (the incentive providers/system benefit optimizers) because the agents act solely based on their own interests. Thus, the principals provide both monetary and non-monetary incentives to minimize the agents’ efforts of altering their travel behaviors. To optimize system benefits, we continue investigating the allocation of monetary and non-monetary incentives in different scenarios with different incentive budgets. Furthermore, to analyze and visualize the impact of different incentive policies, we propose to build an integrated AgBM-flashDTA model, namely an agent-based behavior model (AgBM) integrated with a dynamic traffic assignment model (DTA). The flashDTA is a newly developed DTA model with a tree-based framework to do traffic assignment. This novel assignment method can converge in seconds, much faster than other simulation tools, making the model a powerful tool for supporting real-time decision-making. Finally, through a demonstrative case study for a large-scale transportation system in the Washington D.C. and Baltimore regions, the capability of the proposed scheme is highlighted with significant system-level savings, reasonable insights on individual travel behavior responses, as well as superior computation efficiency.
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    Empirical analysis and modeling of freeway incident duration
    (2007-12-14) Kim, Woon; Chang, Gang-Len; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    This study presents a set of models for predicting incident duration and identifying variables associated with the incident duration in the state of Maryland. The incident database for years 2003 to 2005 from the Maryland State Highway (MDSHA) database is used for model development, and year 2006 for the model validation. This study, based on the preliminary analysis with the Classification Tree method, has employed the Rule-Based Tree Model to develop the primary prediction model. To enhance the prediction accuracy for some incidents with complex nature or limited samples, the study has also proposed and calibrated several supplemental components based on the Multinomial Logit and Regression methods. Although the prediction accuracy could still be improved if a data set with better quality is available, the developed set of models offers an effective tool for responsible agencies to estimate the approximate duration of a detected incident, which is crucial in projecting the potential impacts on the highway network.