Browsing Transportation, Logistics, and Finance by Title
Now showing items 29-48 of 71
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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 ... -
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. ... -
Micromobility Station Placement Optimization for a Rural Setting
(2021)Micromobility is an evolving form of transportation modality that uses small human- or electric-powered vehicles to move people short distances. Planners expected that bike sharing, the first form of micromobility, would ... -
Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations
(2018)On-demand shared mobility services such as Uber and micro-transit are steadily penetrating the worldwide market for traditional dispatched taxi services. Hence, taxi companies are seeking ways to compete. This study mined ... -
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 ... -
A Participatory Sensing Approach to Characterize Ride Quality
(2014)Rough roads increase vehicle operation and road maintenance costs. Consequently, transportation agencies spend a significant portion of their budgets on ride-quality characterization to forecast maintenance needs. The ... -
Pavement Performance Evaluations Using Connected Vehicles
(2016)The ability of any nation to support economic growth and commerce relies on their capacity to preserve and to sustain the performance of pavement assets. The ever-widening funding gap to maintain pavements challenges the ... -
Performance of Hyperspectral Imaging with Drone Swarms
(2018)The ongoing proliferation and diversification of remote sensing platforms offers greater flexibility to select from a range of hyperspectral imagers as payloads. The emergence of low-cost unmanned aircraft systems (drones) ... -
Perspectives on Securing the Multimodal Transportation System
(2022)The vast, open, and interconnected characteristics of the transportation system make it a prime target for terrorists and hackers. However, there are no standard measures of transport system vulnerability to physical or ... -
Perspectives on Using Connected Vehicles for Transportation Infrastructure Condition Monitoring
(2022)The condition of surface transportation infrastructure directly affects the economic health of a nation. However, it is difficult to justify the large sums of money needed to extend current methods to monitor all 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. ... -
Precision Bounds of Pavement Deterioration Forecasts from Connected Vehicles
(2014)Transportation agencies rely on models to predict when pavements will deteriorate to a condition or ride-index threshold that triggers maintenance actions. The accuracy and precision of such forecasts are directly proportional ... -
Precision Bounds of Pavement Distress Localization with Connected Vehicle Sensors
(2014)Continuous, network-wide monitoring of pavement performance will significantly reduce risks and provide an adequate volume of timely data to enable accurate maintenance forecasting. Unfortunately, transportation agencies ... -
Precision Enhancement of Pavement Roughness Localization with Connected Vehicles
(2016)Transportation agencies rely on the accurate localization and reporting of roadway anomalies that could pose serious hazards to the traveling public. However, the cost and technical limitations of present methods ... -
Predicting Advanced Air Mobility Adoption by Machine Learning
(2023)Advanced air mobility (AAM) is a sustainable aviation initiative to deliver cargo and passengers in urban and regional locations by electrified drones. The widespread expectation is that AAM adoption worldwide will help ... -
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 ... -
Railroad Track Condition Monitoring Using Inertial Sensors and Digital Signal Processing: A Review
(2018)Inertial sensors such as accelerometers and gyroscopes have been widely used since the early 1990s to monitor the condition of transportation assets. Recent improvements in their performance, a reduction in cost, and sensor ...