Browsing by Author "Bridgelall, Raj"
Now showing items 41-60 of 72
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Perspectives on Securing the Multimodal Transportation System
Bridgelall, Raj (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
Bridgelall, Raj (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
Bridgelall, Raj; Patterson, Douglas A.; Tolliver, Denver D. (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
Bridgelall, Raj (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
Bridgelall, Raj (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
Bridgelall, Raj; Huang, Y.; Zhang, Z.; Deng, F. (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
Bridgelall, Raj (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
Bridgelall, Raj; Tolliver, Denver D. (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
Chia, Leonard; Bhardwaj, Bhavana; Lu, Pan; Bridgelall, Raj (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 ... -
Ranking Risk Factors in Financial Losses From Railroad Incidents: A Machine Learning Approach
Dhingra, Neeraj; Bridgelall, Raj; Lu, Pan; Szmerekovsky, Joseph; Bhardwaj, Bhavana (2023)The reported financial losses from railroad accidents since 2009 have been more than US$4.11 billion dollars. This considerable loss is a major concern for the industry, society, and the government. Therefore, identifying ... -
Rapid Hyperspectral Image Classification to Enable Autonomous Search Systems
Bridgelall, Raj; Rafert, J. Bruce; Tolliver, Denver D.; Lee, EunSu (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 ... -
Reducing Risks by Transporting Dangerous Cargo in Drones
Bridgelall, Raj (2022)The transportation of dangerous goods by truck or railway multiplies the risk of harm to people and the environment when accidents occur. Many manufacturers are developing autonomous drones that can fly heavy cargo and ... -
Relating Subjective Ride Quality Ratings to Objective Measures
Bridgelall, Raj (2022)Agencies have long used subjective roughness ratings from panels of users to inform policy development on road maintenance strategies. The commoditization of electronics motivated the development of more objective, automated, ... -
Remediation Ranking of High Crash Fatality Locations Involving Older Drivers in Florida's Rural Counties
Dehdari Ebrahimi, Zhila; Momenitabar, Mohsen; Arani, Mohammad; Bridgelall, Raj (2022)In 2019, Florida's aging road users (65 years or older) accounted for 20% of the population but 37% of all crashes. Florida Department of Transportation has identified aging road users as one of the areas that requires ... -
Resolution Agile Remote Sensing for Detection of Hazardous Material Spills
Bridgelall, Raj; Rafert, James B.; Tolliver, Denver D.; Lee, EunSu (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 ... -
Review of Usage of Real-World Connected Vehicle Data
Zhou, Yun; Bridgelall, Raj (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 ... -
Road Profile Reconstruction Using Connected Vehicle Responses and Wavelet Analysis
Zhang, Zhiming; Sun, Chao; Bridgelall, Raj; Sun, Mingxuan (2018)Practitioners analyze the elevation profile of a roadway to detect localized defects and to produce the international roughness index. The prevailing method of measuring road profiles uses a specially instrumented vehicle ... -
Road Roughness Evaluation Using In-Pavement Strain Sensors
Zhang, Zhiming; Deng, Fodan; Huang, Ying; Bridgelall, Raj (2015)The international roughness index (IRI) is a characterization of road roughness or ride quality that transportation agencies most often report. The prevalent method of acquiring IRI data requires instrumented vehicles and ... -
Rolling-Stock Automatic In-Situ Line Deterioration and Operating Condition Sensing
Bridgelall, Raj; Lu, Pan; Tolliver, Denver D. (2013)Track and equipment failures dominate railroad accident causes. Railroads must visually inspect most tracks in service as often as twice weekly to comply with the Federal Track Safety Standards. They augment visual ... -
Signal Feature Extraction and Combination to Enhance the Detection and Localization of Railroad Track Irregularities
Bhardwaj, Bhavana; Bridgelall, Raj; Lu, Pan; Dhingra, Neeraj (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 ...