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Full-Text Articles in Architecture
Automated Vehicles: A Guide For Planners And Policymakers, Charlie Coles
Automated Vehicles: A Guide For Planners And Policymakers, Charlie Coles
Master's Theses
Automated vehicles are those which are capable of sensing their environments in order to perform at least some aspects of the safety-critical control (like steering, throttling, or braking) without direct human input. As a guide for planners and policymakers, the objective of this thesis is to develop a strong foundation for anticipating the potential impacts resulting from advancements in vehicle automation. To establish the foundation, this thesis uses a robust qualitative methodology, coupling a review of literature on the potential advantages and disadvantages of vehicle automation and lessons from past innovations in transportation, with recent trends of the Millennial Generation, …
Structural Damage Detection By Comparison Of Experimental And Theoretical Mode Shapes, William George Rosenblatt
Structural Damage Detection By Comparison Of Experimental And Theoretical Mode Shapes, William George Rosenblatt
Master's Theses
Existing methods of evaluating the structural system of a building after a seismic event consist of removing architectural elements such as drywall, cladding, insulation, and fireproofing. This method is destructive and costly in terms of downtime and repairs. This research focuses on removing the guesswork by using forced vibration testing (FVT) to experimentally determine the health of a building. The experimental structure is a one-story, steel, bridge-like structure with removable braces. An engaged brace represents a nominal and undamaged condition; a dis-engaged brace represents a brace that has ruptured thus changing the stiffness of the building. By testing a variety …
Exploring Transit Ridership Using Census, Routing & Scheduling, And Stop Characteristic Data, Douglas Harvey Moody
Exploring Transit Ridership Using Census, Routing & Scheduling, And Stop Characteristic Data, Douglas Harvey Moody
Master's Theses
This study develops, analyzes, and applies transit-system-specific regression tree models that identify and prioritize transit system improvements through analysis and application of ridership, Census, routing and scheduling, and transit stop characteristic data. Regression trees identify and rank independent variables that split dependent variable datasets into meaningful subsets according to significant relationships with independent variable datasets, and regression tree models can be used to identify and prioritize transit system improvements. In this study, ridership datatypes are the dependent variables (i.e., boardings and alightings) and Census, routing and scheduling, and transit stop characteristic datatypes are the independent variables. Data associated with the …