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Now showing items 21-30 of 71
Use of Connected Vehicles to Characterize Ride Quality
(2016)
The United States rely on the performance of more than four million miles of roadways to
sustain its economic growth and to support the dynamic mobility needs of its growing
population. The funding gap to build and ...
Rapid Hyperspectral Image Classification to Enable Autonomous Search Systems
(2016)
The emergence of lightweight full-frame hyperspectral cameras is destined to enable
autonomous search vehicles in the air, on the ground, and in water. Self-contained and
long-endurance systems will yield important new ...
Enabling Mobile Commerce through Pervasive Communications with Ubiquitous RF Tags
(2003)
For many years we’ve heard of the existence of a
wonderful new technology called radio frequency identification
(RFID) that allows supermarket items to be checked out without
human intervention. Advertisements claim ...
Hyperspectral Applications in the Global Transportation Infrastructure
(2015)
Hyperspectral remote sensing is an emerging field with
potential applications in the observation, management,
and maintenance of the global transportation
infrastructure. This study introduces a general analytical
framework ...
Resolution Agile Remote Sensing for Detection of Hazardous Material Spills
(2016)
Traffic carrying flammable, corrosive, poisonous, and radioactive materials continues to increase
in proportion with the growth in their production and consumption. The sustained risk of
accidental releases of such ...
Wavelength Sensitivity of a Connected Vehicle Method of Ride Quality Characterizations
(2017)
Researchers previously demonstrated that a roughness index called the road impact
factor (RIF) is directly proportional to the international roughness index (IRI) when
measured under identical conditions. A RIF-transform ...
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 ...