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118 report(s) found for North Dakota State University
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Railroad accidents can cause economic harm that extends far beyond their own financial losses. As one of the most efficient modes of long-distance freight transportation, losses in line capacity and cargo due to accidents can disrupt the supply chain and lead to commodity shortages everywhere. Therefore...

 

This research seeks to develop an infrastructure safety support system by embedding V2I enabled sensor networks into the transportation infrastructure to provide autonomous vehicles and human drivers with inputs to improve their decision making when obvious decisions may not possible. A new car-following...

 

The rise of ridesourcing services such as Uber and Lyft in recent years has revolutionized urban transportation across the globe. With the increased popularity of these services came negative impacts on industries such as taxi cab and public transit services. In an era when ridesourcing companies are...

 

Tracks are a critical and expensive railroad asset, requiring frequent maintenance. Railroads companies often rely on the accurate localization and identification of the track anomalies that could cause serious damage to infrastructure, environment, and the traveling public. However, the deployed method...

 

The American Indian population is at high risk for motor vehicle (MV) crash injury. Although preventable, a majority of these indigenous populations lack fundamental data needed to understand these events and effective countermeasures. This cross-case study sets a framework for exploring Indian Nations'...

 

Accurate prediction of the shear strength of swelling clays is critical for the design of infrastructure. Damage caused to U.S. infrastructure by swelling clays is estimated to be about $13 billion per year. Overestimation of strength can lead to failures, and underestimation can lead to an increase...

 

Bridge inspection data is an essential step in the bridge asset management operation and the bridge management system. As such, a reliability-based, holistic framework was proposed to effectively collect reliable data and perform data fusion and information fusion of sensory data used for element-level...

 

Federal track safety regulations require railroads to inspect all tracks in operation as often as twice weekly. Railroad companies deploy expensive and relatively slow methods using human inspectors and expensive automated inspection vehicles to inspect and monitor their rail tracks. The current practices...

 

This research seeks to investigate crash severity predicting models and contributing factor explorations through the application of data mining models. There are 21 variables found to be associated with commercial truck injury severities. The importance analysis indicates the variable relative important...

 

The highway-rail crossing accident has been long recognized as a priority safety concern for worldwide rail industries and researchers because traffic crashes at highway-rail crossings are often catastrophic with serious consequences, which include fatalities, injuries, extensive property damage, and...

 
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NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050
(701)231-7767ndsu.ugpti@ndsu.edu