Index Catalog // ScholarsArchive@OSU

Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical Modelling, and Deep Learning

Creator:: Krivova, Maria
Abstract:: Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...
Resource Type:: Dissertation
Full Text:: . Title: Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical

Accuracy assessment of LiDAR point cloud geo-referencing

Creator:: Williams, Keith E.
Abstract:: Three-dimensional laser scanning has revolutionized spatial data acquisition and can be completed from a variety of platforms including airborne (ALS), mobile (MLS), and static terrestrial (TLS) laser scanning. MLS is a rapidly evolving technology that provides increases in efficiency and safety over static TLS, while still providing similar levels of...
Resource Type:: Masters Thesis
Full Text:: : __________________________________________________________ Michael J. Olsen Three-dimensional laser scanning has revolutionized spatial data

A Methodological Approach for Structural Health Monitoring of Mass-Timber Buildings Under Construction

Creator:: Baas, Esther J.
Abstract:: As mass-timber building construction rises around the globe, there exists the need to verify the long-term, in-situ behavior and performance of these structural systems. Structural health monitoring (SHM), generally defined as a damage detection strategy consisting of a network of sensors, a data acquisition system, and algorithms for data analysis,...
Resource Type:: Masters Thesis
Full Text:: network of sensors, a data acquisition system, and algorithms for data analysis, can be implemented for

Data assessment in Oregon for SafetyAnalyst based on Highway Safety Manual Part B

Creator:: Li, Meng
Abstract:: The author of the Highway Safety Manual (HSM) Part B developed a predictive method for safety management. A software tool for highway safety system analysis called the SafetyAnalyst is developed basing on HSM Part B. The author describes an effort to evaluate the feasibility of SafetyAnalyst in Oregon. Seven sample...
Resource Type:: Masters Thesis
Full Text:: Detail Report, Lane Report, etc. The author also presents an effort to identify current data

A State of Practice of Safety and Big Data in Transportation Engineering Curricula and in Transportation Design : How is it Used and How can Academic Offerings Better Represent Industry Practices?

Creator:: Castro, Edgar D.
Abstract:: Improving safety education could contribute to the preparation of better professional engineers. Safety topics are not holistically embedded in transportation course curricula. This thesis explores the current state in which safety is being incorporated in transportation course curricula in terms of design and compares the uses of safety data in...
Resource Type:: Masters Thesis
Full Text:: presented on September 15, 2016. Title: A State of Practice of Safety and Big Data in Transportation

An investigation of Oregon weight-in-motion data for bridge rating implementation and evaluation

Creator:: Pelphrey, Jordan Michael
Abstract:: The LRFR Manual, within commentary Article C6.4.4.2.3, contains provisions for development of site-specific live load factors. In Oregon, truck Weigh-in-Motion (WIM) data were used to develop live load factors for use on state-owned bridges. The factors were calibrated using the same statistical methods that were used in the original development...
Resource Type:: Masters Thesis
Full Text:: Oregon Weigh-In-Motion Data for Bridge Rating Implementation and Evaluation. Abstract approved: C

Mapping Nearshore Bathymetry with Spaceborne Data Fusion and State Space Modeling

Creator:: Forfinski-Sarkozi, Nicholas A.
Abstract:: Despite numerous techniques for measuring and estimating water depth, bathymetry in the nearshore zone is notoriously difficult to map. Dangerous sea states, noisy environmental conditions, and expensive survey operations, particularly in remote areas, contribute to the difficulties of obtaining data along the coast. Global datasets, derived mainly from satellite altimetry...
Resource Type:: Dissertation
Full Text:: Data Fusion and State Space Modeling. Abstract approved

Analysis of spatial data from terrain models for landslide predictive mapping

Creator:: Santha, Rubini
Abstract:: Landslides are a pervasive hazard that can result in substantial damage to properties and loss of life throughout the world. To understand the nature and scope of the hazard, landslide hazard mapping has been an area of intense research by identifying areas most susceptible to landslides in order to mitigate...
Resource Type:: Dissertation
Full Text:: Engineering presented on June 10, 2014. Title: Analysis of Spatial Data from Terrain Models for Landslide

Developing safety performance functions for 4-leg single-lane roundabouts based on Oregon data : a case study

Creator:: Zheng, Jianfei
Abstract:: Roundabouts have become an alternative for traditional intersections due to the safer operational performance. Previous research has provided crash modification factors (CMFs) as a criterion based on before-after studies as to evaluate the safety performance of roundabouts. One drawback of assessment based on crash modification factors, however, is that a...
Resource Type:: Masters Thesis
Full Text:: : Developing Safety Performance Functions for 4-leg Single-lane Roundabouts Based on Oregon Data: A Case

Automated Monitoring of Construction Operations for Data-Driven Decision Making

Creator:: Rashid, Khandakar, M.
Abstract:: The continuous improvement of construction operations requires a systematic approach of monitoring and making appropriate control actions. However, the lack of real-time information hinders this workflow and eventually compromises timely and effective decision-making. Project managers spend a great deal of time and effort to solve problems emerging from lack of...
Resource Type:: Dissertation
Full Text:: . Title: Automated Monitoring of Construction Operations for Data-Driven Decision Making

ScholarsArchive@OSU

Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical Modelling, and Deep Learning

Accuracy assessment of LiDAR point cloud geo-referencing

A Methodological Approach for Structural Health Monitoring of Mass-Timber Buildings Under Construction

Data assessment in Oregon for SafetyAnalyst based on Highway Safety Manual Part B

A State of Practice of Safety and Big Data in Transportation Engineering Curricula and in Transportation Design : How is it Used and How can Academic Offerings Better Represent Industry Practices?

An investigation of Oregon weight-in-motion data for bridge rating implementation and evaluation

Mapping Nearshore Bathymetry with Spaceborne Data Fusion and State Space Modeling

Analysis of spatial data from terrain models for landslide predictive mapping

Developing safety performance functions for 4-leg single-lane roundabouts based on Oregon data : a case study

Automated Monitoring of Construction Operations for Data-Driven Decision Making

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