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Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World
(2021)
Countries considering high-speed rail (HSR) developments face enormous challenges because of their high deployment cost, environmental obstacles, political opposition, and their potentially adverse effects on society. ...
Applying Unsupervised Machine Learning to Counterterrorism
(2022)
To advance the agenda in counterterrorism, this work demonstrates how analysts can combine unsupervised machine learning, exploratory data analysis, and statistical tests to discover features associated with different ...
Review of Usage of Real-World Connected Vehicle Data
(2020)
GPS loggers and cameras aboard connected vehicles can produce vast amounts of data. Analysts can mine such data to decipher patterns in vehicle trajectories and driver–vehicle interactions. Ability to process such large-scale ...
Characterizing Ride Quality With a Composite Roughness Index
(2022)
There are many important applications that require ride quality characterization. However, the only international standard that specifies a roughness index is not suitable for applications beyond assessing the ride quality ...
Detecting Sources of Ride Roughness by Ensemble Connected Vehicle Signals
(2022)
It is expensive and impractical to scale existing methods of road condition monitoring for more frequent and network-wide coverage. Consequently, defects that increase ride roughness or can cause accidents will go undetected. ...
Signal Feature Extraction and Combination to Enhance the Detection and Localization of Railroad Track Irregularities
(2020)
Tracks are critical and expensive railroad asset, requiring frequent maintenance. The stress from heavy car axle loads increases the risk of deviations from uniform track geometry. Irregularities in track geometry, such ...
Closed Form Models to Assess Railroad Technology Investments
(2020)
Class I railroads in North America collectively invested $11.2 billion to comply with a federal mandate to deploy positive train control. This amount dwarfs the potential savings from accidents the technology could prevent. ...
Effects of smartphone sensor variability in road roughness evaluation
(2021)
Accelerometers embedded in smartphones have become an alternative means of measuring the roughness of roads. However, the differences in their sensitivity and sampling rates between smartphones could produce measurement ...
An Application of Natural Language Processing to Classify What Terrorists Say They Want
(2022)
Knowing what perpetrators want can inform strategies to achieve safe, secure, and sustainable societies. To help advance the body of knowledge in counterterrorism, this research applied natural language processing and ...
Railroad Accident Analysis Using Extreme Gradient Boosting
(2021)
Railroads are critical to the economic health of a nation. Unfortunately, railroads lose hundreds of millions of dollars from accidents each year. Trends reveal that derailments consistently account for more than 70% of ...