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Now showing items 1-10 of 11
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 ...
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. ...
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 ...
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. ...
Model Contrast of Autonomous Vehicle Impacts on Traffic
(2020)
The adoption of connected and autonomous vehicles (CAVs) is in its infancy. Therefore, very little is known about their potential impacts on traffic. Meanwhile, researchers and market analysts predict a wide range of ...
Forecasting the Effects of Autonomous Vehicles on Land Use
(2020)
The widespread availability of connected and autonomous vehicles (CAVs) will likely affect social change in terms of how people travel. Traditional methods of travel demand and land use modeling require vast amounts of ...
A Fuzzy Delphi Analytic Hierarchy Model to Rank Factors Influencing Public Transit Mode Choice: A Case Study
(2020)
This study applied a decision-based model with uncertainty to identify factors in mode choice and to rank their influence in attracting riders to available public transit modes in the city of Tehran. The model integrates ...
Attack Risk Modelling for the San Diego Maritime Facilities
(2020)
California is the largest economy among states in the US. More than 40% of the nation's containerized cargo flows through the marine ports of California. Cruise ships also call on four of California's largest ports, with ...