Browsing Upper Great Plains Transportation Institute (UGPTI) by Title
Now showing items 15-34 of 72
-
Data-Driven Deployment of Cargo Drones: A U.S. Case Study Identifying Key Markets and Routes
(2023)Electric and autonomous aircraft (EAA) are set to disrupt current cargo-shipping models. To maximize the benefits of this technology, investors and logistics managers need information on target commodities, service ... -
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. ... -
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 ... -
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 ... -
Energy Efficiency of CSMA Protocols for Wireless Packet Switched Networks
(2004)The finite battery power in wireless portable computing devices is a motivating factor for developing energy efficient wireless network technologies. This paper investigates energy efficiency, relating it to throughput and ... -
Enhancement of Signals from Connected Vehicles to Detect Roadway and Railway Anomalies
(2019)Frequent network-wide monitoring of the condition of roadways and railways prevent fatalities, injuries, and financial losses. Even so, agencies cannot afford to inspect vast transportation networks using present methods. ... -
Error Sensitivity of the Connected Vehicle Approach to Pavement Performance Evaluations
(2016)The international roughness index is the prevalent indicator used to assess and forecast road maintenance needs. The fixed parameters of its simulation model provide the advantage of requiring relatively few traversals ... -
Exploratory Spatial Data Analysis of Traffic Forecasting: A Case Study
(2022)Transportation planning has historically relied on statistical models to analyze travel patterns across space and time. Recently, an urgency has developed in the United States to address outdated policies and approaches ... -
Extending Micromobility Deployments: A Concept and Local Case Study
(Springer, 2021)Micromobility is a recent phenomenon that refers to the use of small human- or electric-powered vehicles such as scooters and bikes to travel short distances, and sometimes to connect with other modes of transportation ... -
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 ... -
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 ... -
Hyperspectral Imaging Utility for Transportation Systems
(2015)The global transportation system is massive, open, and dynamic. Existing performance and condition assessments of the complex interacting networks of roadways, bridges, railroads, pipelines, waterways, airways, and ... -
Hyperspectral Range Imaging for Transportation Systems Evaluation
(2016)Transportation agencies expend significant resources to inspect critical infrastructure such as roadways, railways, and pipelines. Regular inspections identify important defects and generate data to forecast maintenance ... -
Identifying Factors Associated with Terrorist Attack Locations by Data Mining and Machine Learning
(2023)While studies typically investigate the socio-economic factors of perpetrators to comprehend terrorism motivations, there was less emphasis placed on factors related to terrorist attack locations. Addressing this knowledge ... -
Inertial Sensor Sample Rate Selection for Ride Quality Measures
(2014)The Road Impact Factor is a measure of ride-quality. It is derived from the average inertial response of vehicles to road roughness. Unlike the International Roughness Index, the most common measure, the road impact ... -
Introducing a Micro-Wireless Architecture for Business Activity Sensing
(2008)RFID performance deficiencies discovered in recent high profile applications have highlighted the danger of selecting only passive tags for an application because of their lowest cost relative to other types of RFID ... -
Introducing an Efficiency Index to Evaluate eVTOL Designs
(2023)The evolution of electric vertical takeoff and landing (eVTOL) aircraft as part of the Advanced Air Mobility initiative will affect our society and the environment in fundamental ways. Technological forecasting suggests ... -
ITS Technology Usage and Feasibility in Small Urban and Rural Transit
(North Dakota State University, 2020-04)Intelligent transportation system (ITS) applications have been widely applied to the highway system, and are being used by an increasing number of small urban and rural transit systems throughout the United States. The ... -
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. ...