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Now showing items 31-40 of 71
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 ...
Accuracy Enhancement of Anomaly Localization with Participatory Sensing Vehicles
(2020)
Transportation agencies cannot afford to scale existing methods of roadway and railway condition monitoring to more frequently detect, localize, and fix anomalies throughout networks. Consequently, anomalies such as potholes ...
Using Artificial Intelligence to Derive a Public Transit Risk Index
(2022)
A terrorist attack on the public transportation system of a city can cripple its economy. Uninformed investments in countermeasures may result in a waste of resources if the risk is negligible. However, risks are difficult ...
A Cognitive Framework to Plan for the Future of Transportation
(2020)
Automated, connected, electrified, and shared mobility will be cornerstones of the transportation future. Research to quantify the potential benefits and drawbacks of practice, and to identify barriers to adoption is the ...
Policy Implications of Truck Platooning and Electrification
(2020)
Trucks in North America account for more than 23% of the transportation sector’s greenhouse gas emissions. Truck platooning and truck electrification are potential technologies for reducing emissions and operating cost. ...