UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

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 given thesis/dissertation in DRUM.

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

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    A method for integrating multi-region flexible-route bus services
    (2018) Sharma, Garima; Schonfeld, Paul M; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    A flexible route bus system, serving an area and providing pick-up and drop-off at the users’ doorsteps may be more effective than a conventional bus system in areas with relatively low demand density. Thus, it may reduce the cost per trip and avoid the time and cost to users of accessing bus stops. However, depending on the demand density and circuity of routes, passengers might experience longer travel times and longer wait times. The objective of the thesis is to combine individual many-to-one flexible route services operating in multiple regions, which serve both internal and external demand, and optimize them into an integrated flexible route bus service that offers complete many-to-many transit services for large urban and suburban regions. A total cost function is formulated, and an optimized headway is found for the system. The sensitivity analyses evaluate the influence of input variables on the headway and system effectiveness measures.
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    Phased Development of Rail Transit Routes
    (2007-08-10) CHENG, WEI-CHEN; Schonfeld, Paul M; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    This thesis develops a method for optimizing the construction phases for rail transit extension projects with the objective of maximizing net present worth and examines the economic feasibility of such extension projects under different financial constraints. A Simulated Annealing Algorithm is used for solving this problem. A rail transit project is often divided into several phases due to its huge capital costs. A model is developed to optimize these phases for a simple, one-route rail transit system, running from a Central Business District to a suburban area. The most interesting result indicates that the economic feasibility of links with low demand is affected by the completion time of those links and their demand growth rate after extensions. Sensitivity analyses explore the effects of input parameters on optimized results. These analyses contribute useful guidelines for transportation planners and decision-makers in determining construction phases for rail transit extension projects.