Index Catalog // ScholarsArchive@OSU

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

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

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

Radiometric Calibration of EAARL‐B Bathymetric Lidar Data

Creator:: Wilson, Nicholas C.
Abstract:: The Experimental Advanced Airborne Research Lidar ‐ B (EAARL‐B), which was built and deployed by the U.S. Geological Survey (USGS) in 2014, is a novel topographic‐bathymetric lidar system. While retaining a number of features that were pioneered in the original National Aeronautics and Space Administration (NASA) EAARL system (e.g., low...
Resource Type:: Masters Thesis
Full Text:: presented on May 22, 2017. Title: Radiometric Calibration of EAARL‐B Bathymetric Lidar Data

Crowdsourcing Data-driven Development of Bicycle Safety Performance Functions (SPFs) : Microscopic and Macroscopic Scales

Creator:: Chen, Chen
Abstract:: While riding bicycles has been promoted for its health, economic, and environmental benefits, it also complements other modes to complete a safe, efficient, and reliable transportation system. However, the dramatic increase of bicycle usage in the U.S. is accompanied by a growth of bicycle crashes. The U.S. Department of Transportation,...
Resource Type:: Masters Thesis
Full Text:: -Report Issue in Bicycle Crash Data ........................................... 55 4.4 Data Analyses

Ensemble-based data assimilation and depth inversion on the Kootenai River, ID, USA

Creator:: Landon, Kyle C.
Abstract:: Velocity measurements from drifter GPS records are assimilated and used in an ensemble-based inversion technique to extract the river bathymetry. The method is tested on a deep meandering reach and a shallow braided reach of the Kootenai River in Idaho, USA. The Regional Ocean Modeling System (ROMS) is used to...
Resource Type:: Masters Thesis
Full Text:: -Based Data Assimilation and Depth Inversion on the Kootenai River, ID, USA Abstract approved: H. Tuba

Assimilation of Multi-Sensor Data into Numerical Hydrodynamic Models of Inland Water Bodies

Creator:: Javaheri, Amir
Abstract:: Numerical models are effective tools for simulating complex physical processes such as hydrodynamic and water quality processes in aquatic systems. The accuracy of the model is dependent on multiple model parameters and variables that need to be calibrated and regularly updated to reproduce changing aquatic conditions accurately. Multi-sensor water temperature...
Resource Type:: Dissertation
Full Text:: . Title: Assimilation of Multi-Sensor Data into Numerical Hydrodynamic Models of Inland Water Bodies

ScholarsArchive@OSU

Accuracy assessment of LiDAR point cloud geo-referencing

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?

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

Radiometric Calibration of EAARL‐B Bathymetric Lidar Data

Crowdsourcing Data-driven Development of Bicycle Safety Performance Functions (SPFs) : Microscopic and Macroscopic Scales

Ensemble-based data assimilation and depth inversion on the Kootenai River, ID, USA

Assimilation of Multi-Sensor Data into Numerical Hydrodynamic Models of Inland Water Bodies

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