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Articles 331 - 360 of 5911
Full-Text Articles in Engineering
Estimating Depth Of Roadway Flooding Using Data From Lidar And Surveillance Cameras, Mahta Zamanizadeh, Mecit Cetin
Estimating Depth Of Roadway Flooding Using Data From Lidar And Surveillance Cameras, Mahta Zamanizadeh, Mecit Cetin
Graduate Student Government Association Research Conference
In this study, we fuse data from a 3D LIDAR mounted on a vehicle and images from an external traffic surveillance camera to create a 3D representation of a segment of a roadway that experiences frequent flooding. The point cloud data from the LiDAR in this study is collected from a road segment of W 49th Street in Norfolk, near the ODU campus. The traffic surveillance camera is mounted on a public parking building in the same area. The LiDAR collects continuous point cloud frames as the vehicle traverses the section. Multiple LIDAR frames related to the respective segment …
Application Of Cementitious Materials And Fiber Reinforcement To Enhance Lime Stabilization For Nebraska Shale Soils, Jongwan Eun, Seunghee Kim, Chung R. Song, Laith Ibdah, Kenaz Owusu
Application Of Cementitious Materials And Fiber Reinforcement To Enhance Lime Stabilization For Nebraska Shale Soils, Jongwan Eun, Seunghee Kim, Chung R. Song, Laith Ibdah, Kenaz Owusu
Nebraska Department of Transportation: Research Reports
Lime stabilization is a widely used technique to improve weak subgrades; however, its effectiveness under freeze-thaw cycles remains a critical challenge. This study investigates the incorporation of cementitious materials and fiber to enhance the mechanical properties and environmental resistance of lime-stabilized soils under such conditions. Two types of soil, gray shale (plasticity index of 37.8) and clay soil (plasticity index of 19.0) from Nebraska, were used. Stabilization mixtures included lime dosages of 0%, 3%, and 6% by weight, combined with either 10% fly ash or 3% and 6% cement by weight, and 0% and 1% fiber. The experimental program comprised …
Current Practices In Rock Scaling, Daryl J. Greer, Kean H. Ashurst Jr
Current Practices In Rock Scaling, Daryl J. Greer, Kean H. Ashurst Jr
Kentucky Transportation Center Research Report
Rockfalls, which result from the chemical and physical weathering of aging exposed rock cuts, occur frequently along many Kentucky roadways and can endanger travelers. Mitigating rockfalls often requires substantial excavation, procuring additional right of way, and/or hiring specialty contractors. An alternative to these expensive processes is rock scaling, which can be a cost-effective tool for mitigating rockfalls. Rock scaling entails removing loose and unstable rocks from rock cut slopes within the right of way to reduce rockfall risk and is being used with increased frequency by state transportation agencies around the country. The Kentucky Transportation Cabinet (KYTC) has completed several …
Bridge Load Posting Based On Load Testing, Cody Hutchinson, Abheetha Peiris, Issam Harik
Bridge Load Posting Based On Load Testing, Cody Hutchinson, Abheetha Peiris, Issam Harik
Kentucky Transportation Center Research Report
AASHTO’s Manual for Bridge Evaluation (MBE) provides guidance for analytically evaluating bridge capacity based on available design information and the results of field inspections. This analysis results in a rating factor (RF), which quantifies a bridge’s safe load carrying capacity. RF accuracy, however, depends on the availability of information about structural details and material properties. As such, load rating bridges without design plans is difficult as field inspections alone often cannot provide enough information to perform detailed analysis. In many instances this means that a bridge would possess a substandard rating factor (RF < 1.0) simply due to the conservative assumptions required to perform traditional analysis. The most effective method for safely modifying such conservative theoretical rating factors is through load testing. Load testing measures actual bridge behavior and, for most bridges in good health, finds an increase in load rating is justified. This project utilized load testing to load rate 14 bridges in Kentucky that lack structural plans. Researchers first determined theoretical ratings using MBE-prescribed methods. For information typically taken from design plans, but which could not be measured directly, data-backed methods for making conservative assumptions were developed. For most bridges included in the study, theoretical rating factors alone suggested load postings were necessary. Load testing was then carried out utilizing tandem rear-axle dump trucks with measured axle weights. Multiple single-lane load cases were selected to maximize the effects being rated. Strain data were collected in real time using a wireless reusable strain gage system. Using these data, researchers computed a field test adjustment factor using MBE methods which directly modified the calculated theoretical RFs. Ultimately, load testing provided sufficient evidence to safely recommend that load postings were not necessary for any bridges in this study.
Effect Of Shrinkage-Mitigating Materials, Fiber Type, And Repair Thickness On Flexural Behavior Of Beams Repaired With Fiber-Reinforced Self-Consolidating Concrete, Jingjie Wei, Kamal H. Khayat
Effect Of Shrinkage-Mitigating Materials, Fiber Type, And Repair Thickness On Flexural Behavior Of Beams Repaired With Fiber-Reinforced Self-Consolidating Concrete, Jingjie Wei, Kamal H. Khayat
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
While self-consolidating concrete (SCC) has emerged as a highly effective approach for the repair of concrete structures, there have been few investigations regarding the effect of the combination of different fiber and shrinkage-mitigating material types (shrinkage-reducing admixture, SRA; superabsorbent polymer, SAP; and expansive agent, EA) on the flexural behavior of repaired structures. This study aims to explore the influence of three different shrinkage-mitigating materials (1.25%–2.5 % SRA, 4%–8% EA, and 0.2%–0.4 % SAP), four fiber types (two macro synthetic fibers, MSFA and MSFB; 5D hooked steel fibers, 5D; a combination of 80 % 3D hooked steel +20 % short steel …
Application Of Cementitious Materials And Fiber Reinforcement To Enhance Lime Stabilization For Nebraska Shale Soils, Jongwan Eun, Seunghee Kim, Chung R. Song, Laith Ibdah, Kenaz Owusu
Application Of Cementitious Materials And Fiber Reinforcement To Enhance Lime Stabilization For Nebraska Shale Soils, Jongwan Eun, Seunghee Kim, Chung R. Song, Laith Ibdah, Kenaz Owusu
Nebraska Department of Transportation: Research Reports
Lime stabilization is a widely used technique to improve weak subgrades; however, its effectiveness under freeze-thaw cycles remains a critical challenge. This study investigates the incorporation of cementitious materials and fiber to enhance the mechanical properties and environmental resistance of lime-stabilized soils under such conditions. Two types of soil, gray shale (plasticity index of 37.8) and clay soil (plasticity index of 19.0) from Nebraska, were used. Stabilization mixtures included lime dosages of 0%, 3%, and 6% by weight, combined with either 10% fly ash or 3% and 6% cement by weight, and 0% and 1% fiber. The experimental program comprised …
Draft Active Travel & Public Realm Evaluation Framework (Summary), Sarah Rock Dr, Sinead Flavin
Draft Active Travel & Public Realm Evaluation Framework (Summary), Sarah Rock Dr, Sinead Flavin
Other Resources
This aim of this Draft Summary Framework is to assist Local Authorities & other similar authorities in the monitoring and evaluation of their active travel & public realm interventions. It is intended to allow for flexibility depending on the project objectives and context, and is not intended to be a definitive list of indicators and metrics. The indicators and metrics included seek to strike the balance between what's reasonable, practical and feasible for a Local Authority and associated resources in terms of monitoring & evaluation. Not all projects can be reasonably expected to be fully monitored and evaluated, thus a …
Flexural Post-Cracking Performance Of Macro Synthetic Fiber Reinforced Super Workable Concrete Influenced By Shrinkage-Reducing Admixture, Jingjie Wei, Nima Farzadnia, Kamal H. Khayat
Flexural Post-Cracking Performance Of Macro Synthetic Fiber Reinforced Super Workable Concrete Influenced By Shrinkage-Reducing Admixture, Jingjie Wei, Nima Farzadnia, Kamal H. Khayat
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Most literature has focused on the effect of shrinkage-reducing admixture (SRA) in shrinkage mitigation resistance of concrete. This study aims to examine the impact of SRA on the efficiency of macro synthetic fibers (MSF) in enhancing the flexural post-cracking behavior of fiber-reinforced super workable concrete (FR-SWC). A comparative analysis of the influence of fiber combinations on the flexural post-cracking behavior of beams is also included. Results showed that a higher dosage of SRA, particularly at 5 % by mass of binder, had a noticeable negative impact on flexural post-cracking performance of beams while exhibiting positive effect on workability and shrinkage …
Proactive Distributed Emergency Response With Heterogeneous Tasks Allocation, Justice Darko, Hyoshin Park
Proactive Distributed Emergency Response With Heterogeneous Tasks Allocation, Justice Darko, Hyoshin Park
Engineering Management & Systems Engineering Faculty Publications
Traditionally, traffic incident management (TIM) programs coordinate the deployment of emergency resources to immediate incident requests without accommodating the interdependencies on incident evolutions in the environment. However, ignoring these inherent interdependencies while making current deployment decisions is shortsighted, and the resulting naive deployment strategy can significantly worsen the overall incident delay impact on the network. The interdependencies on incident evolution in the environment, including those between incident occurrences and those between resource availability in near-future requests and the anticipated duration of the immediate incident request, should be considered through a look-ahead model when making current-stage deployment decisions. This study develops …
Accelerated Test Method (Atm) For The Evaluation Of External Sulfate And Chloride Attack On Concrete Using Artificial Climate Environment (Ace): An Assessment Of Methodology, Eli Walker
College of Graduate Studies: Theses & Dissertations
This study seeks to investigate a testing methodology that utilizes accelerated testing methods (ATM) in conjunction with nondestructive testing methods (NDT) to assess destructive ion attacks on concrete. Through the testing of concrete samples, the impacts of chloride and sulfate ions on concrete will be tested by subjecting concrete to cyclic testing in an artificial climate environment. Electrical resistivity (ER) and ultrasonic pulse velocity (UPV) testing will evaluate the impact of the accelerated testing on the migration of destructive ions within the pore structure of the tested concrete. Based on this investigation, comparisons between accelerated, non-accelerated, and control samples will …
Human Perception Of Ai Capabilities At Classifying Perturbed Roadway Signs, Katherine R. Garcia, Jing Chen, Yanru Xiao, Scott Mishler, Cong Wang, Bin Hu
Human Perception Of Ai Capabilities At Classifying Perturbed Roadway Signs, Katherine R. Garcia, Jing Chen, Yanru Xiao, Scott Mishler, Cong Wang, Bin Hu
Psychology Faculty Publications
Artificial Intelligence (AI) is crucial to numerous functions required for driving automation systems, including the computer vision techniques used to detect the roadway environment and make real-time decisions. However, the images used as inputs to the AI system may be maliciously perturbed, or manipulated, causing the AI system to make an incorrect classification. In this study, we examined humans’ perception of the AI’s computer vision capability of classifying various road sign images, including the original images, images with two different types of malicious attacks, and images that are scrambled randomly at the pixel level. Our results showed that participants rated …
Adaptation For Whom? Understanding The Impacts Of Dyke Policies On Small-Scale Farmers In Ca Mau Province Of Vietnam, Nguyen Minh Quang, Nguyen Van Minh, Nguyen Vo Chau Ngan, Martha B. Lerski
Adaptation For Whom? Understanding The Impacts Of Dyke Policies On Small-Scale Farmers In Ca Mau Province Of Vietnam, Nguyen Minh Quang, Nguyen Van Minh, Nguyen Vo Chau Ngan, Martha B. Lerski
Publications and Research
Low-lying deltas worldwide are extremely vulnerable to sea-level rise. As the risks of climate-induced flooding become increasingly clear, the thirst for infrastructure-driven adaptation increases. This highlights a patent need to understand the impacts of engineering adaptation solutions, especially those targeting built structures such as dykes and sluices, on farmers from a bottom-up, farmer-centred perspective. The study addresses this call by examining cases where dyke policies, while successful in some dimensions, have undermined small-scale farmer livelihoods in Ca Mau ― Vietnam’s southernmost rural province. It identifies areas in need of attention and adds empirical data related to this group of farmers. …
Measuring Accessibility Of Electric Vehicle Charging Infrastructure: A Case Study In Kentucky, Oluwasola Elijah Fagbohun
Measuring Accessibility Of Electric Vehicle Charging Infrastructure: A Case Study In Kentucky, Oluwasola Elijah Fagbohun
Theses and Dissertations--Civil Engineering
This thesis assesses spatial accessibility to electric vehicle charging infrastructure across Kentucky by investigating methodological approaches to measure accessibility: provider-topopulation ratios, regional accessibility metrics, and several methods in the family of gravity models. The Enhanced Two-Step Floating Catchment Area method was employed to measure electric vehicle charging station accessibility across Kentucky using a network-based approach in ArcGIS Pro. The analysis integrated 2023 American Community Survey 5-year Census block group data, Kentucky road network datasets, charging station locations from the Alternative Fuels Data Center, and Alternative Fuel Corridor designations. We examined existing infrastructure and proposed stations outlined in the Kentucky electric …
A Scoring Approach For Evaluating And Ranking Complete Streets Projects, Eirini Stavropoulou
A Scoring Approach For Evaluating And Ranking Complete Streets Projects, Eirini Stavropoulou
Theses and Dissertations--Civil Engineering
Complete Streets is a vital strategy for developing an equitable transportation network that provides access to all users and transportation options to communities. A growing interest in this concept has been noted in the United States, with over 1,700 Complete Streets-related policies implemented nationwide. The Kentucky Transportation Cabinet (KYTC) has developed the “Complete Streets, Roads, and Highways Manual” and the “Complete Streets Policy” aiming to promote a safer and more inclusive transportation system statewide through Complete Streets implementation. A recent KYTC initiative was the development of a scorecard to systematically evaluate Complete Streets projects competing for funding. The scorecard is …
Adjusting Benefit Estimation For Pedestrian And Bicycle Facilities For Kentucky, Dionysios Tzamakos
Adjusting Benefit Estimation For Pedestrian And Bicycle Facilities For Kentucky, Dionysios Tzamakos
Theses and Dissertations--Civil Engineering
The growing shift of commuters towards active transportation (AT) in the U.S. has led transportation agencies to place greater emphasis on improving bicycle and pedestrian facilities. Such improvement efforts can be integrated into multi-modal highway planning and development or be implemented through stand-alone pedestrian and bicycle projects both resulting in additional AT demand. Measuring the benefits of infrastructure improvement is central to prioritizing projects, as active transportation contributes to health, congestion reduction, safety, and recreational benefits. This study aims to calibrate the demand estimates for walking and cycling and estimate the associated benefits for the state of Kentucky. Population density …
Influence Of Deck Area And Average Daily Traffic On The Deterioration Of Bridge Superstructures., Faysal Ahamed
Influence Of Deck Area And Average Daily Traffic On The Deterioration Of Bridge Superstructures., Faysal Ahamed
Graduate Theses, Dissertations, and Problem Reports (ETD)
State Departments of Transportation (DOTs) are responsible for maintaining approximately 623,000 bridges across the United States. Effective bridge management requires a comprehensive understanding of the factors influencing structural deterioration. Numerous studies have explored the effects of average daily traffic (ADT) and deck area (DA) on bridge deck deterioration. Given the interdependence between bridge decks and superstructures, it is plausible that ADT and DA significantly influence superstructure condition ratings and deterioration trends. However, their impact on superstructures remains insufficiently studied. In addition, existing studies primarily focus on overall bridge deterioration without adequately differentiating between superstructure designs and materials and maintenance authorities. …
Enhancing Operational Efficiency Of Paratransit Services Using Predictive Models, Troyee Saha
Enhancing Operational Efficiency Of Paratransit Services Using Predictive Models, Troyee Saha
Civil Engineering Dissertations - Archive
Paratransit services play a vital role in supporting the mobility of older adults and individuals with disabilities, yet they experienced major disruptions during the COVID-19 pandemic and continue to face ongoing operational issues such as trip cancellations. This dissertation explores these challenges through three distinct analyses using data from Arlington, TX. The first chapter investigates how COVID-19-related factors (policies, cases, and vaccination) and socio-demographics influenced paratransit usage from 2019 to 2021. Applying SARIMAX and Poisson regression models, the study finds a substantial drop in ridership—41% in 2020—and a shift toward essential medical travel. It also reveals that restrictive policies, such …
Development Of A Drone-Assisted Pavement Management Framework Based On The Pavement Condition Index For University Parking Lots, Omesh Pasuluru
Development Of A Drone-Assisted Pavement Management Framework Based On The Pavement Condition Index For University Parking Lots, Omesh Pasuluru
Civil Engineering Theses - Archive
Efficient pavement management is essential for keeping university parking lots in good condition. At the University of Texas at Arlington, parking areas experience heavy use and environmental wear, which can cause damage if not addressed early. Traditional methods for assessing pavement conditions are time-consuming, interrupt daily activities, and are expensive. Hence, there is a need for better solutions. This study introduces a drone-based pavement management approach that uses the Pavement Condition Index (PCI) system. The PCI is a numerical scale from 0 to 100 that rates pavement quality based on surface condition. A high PCI score (85-100) indicates the pavement …
Updating Rainfall Zones And Intensities In Nebraska For Improved Design Of Non-Bridge-Sized Drainage Structures, Rezaul Mahmood, Tirthankar Roy, Chanchal Gupta, Kanak Kanti Kar, William Sorenson
Updating Rainfall Zones And Intensities In Nebraska For Improved Design Of Non-Bridge-Sized Drainage Structures, Rezaul Mahmood, Tirthankar Roy, Chanchal Gupta, Kanak Kanti Kar, William Sorenson
Nebraska Department of Transportation: Research Reports
This study assesses the effectiveness of precipitation zones and Intensity-Duration-Frequency (IDF) curves used by the Nebraska Department of Transportation (NDOT) for designing drainage structures. Twenty stations were selected for the analysis of revised IDF curves out of forty-two stations. Datasets have been considered from the National Center for Environmental Information (NCEI). By Comparing the new curves with existing ones, the study efforts examine the frequency, duration and severe rainfall. The results show that the IDF curves for various zones and stations varied noticeably from one another. Also, noticed that Zone A and B shows lower rainfall intensities in short to …
Hydronic Parking Lots: A Solution For Urban Heat Island Mitigation, Sumeet Jinnappa Paramaj
Hydronic Parking Lots: A Solution For Urban Heat Island Mitigation, Sumeet Jinnappa Paramaj
Theses and Dissertations
The Urban Heat Island (UHI) effect has emerged as a critical challenge in modern cities. It contributes to elevated local temperatures, placing significant stress on urban ecosystems and public health. One of the primary drivers of this phenomenon is the widespread use of impervious surfaces, such as dark-colored parking lots, which absorb heat during the day and gradually release it at night. This ongoing cycle results in persistently warmer urban environments. As cities continue to expand and densify, the need for effective, sustainable strategies to reduce urban heat becomes increasingly urgent.
This project aims to explore innovative interventions, particularly in …
Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory, Ange-Lionel Toba, Sameer Kulkarni, Wael Khallouli, Timothy Pennington
Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory, Ange-Lionel Toba, Sameer Kulkarni, Wael Khallouli, Timothy Pennington
School of Cybersecurity Faculty Publications
Traffic conditions are a key factor in our society, contributing to quality of life and the economy, as well as access to professional, educational, and health resources. This emphasizes the need for a reliable road network to facilitate traffic fluidity across the nation and improve mobility. Reaching these characteristics demands good traffic volume prediction methods, not only in the short term but also in the long term, which helps design transportation strategies and road planning. However, most of the research has focused on short-term prediction, applied mostly to short-trip distances, while effective long-term forecasting, which has become a challenging issue …
Physics-Informed Deep Learning With Kalman Filter Mixture For Traffic State Prediction, Niharika Deshpande, Hyoshin (John) Park
Physics-Informed Deep Learning With Kalman Filter Mixture For Traffic State Prediction, Niharika Deshpande, Hyoshin (John) Park
Engineering Management & Systems Engineering Faculty Publications
Accurate traffic forecasting is crucial for understanding and managing congestion for efficient transportation planning. However, conventional approaches often neglect epistemic uncertainty, which arises from incomplete knowledge across different spatiotemporal scales. This study addresses this challenge by introducing a novel methodology to establish dynamic spatiotemporal correlations that captures the unobserved heterogeneity in travel time through distinct peaks in probability density functions, guided by physics-based principles. We propose an innovative approach to modifying both prediction and correction steps of the Kalman Filter (KF) algorithm by leveraging established spatiotemporal correlations. Central to our approach is the development of a novel deep learning model …
Drone-Based Medication Delivery For Rural, Flood-Prone Coastal Cities, Yin-Hsuen Chen, Amro M. El-Adle, Kevin J. O'Brien, Taylor Wentworth, Heather G. Richter
Drone-Based Medication Delivery For Rural, Flood-Prone Coastal Cities, Yin-Hsuen Chen, Amro M. El-Adle, Kevin J. O'Brien, Taylor Wentworth, Heather G. Richter
Center for Geospatial Science, Education & Analytics Faculty Publications
Access to healthcare remains a critical challenge for rural populations, particularly in flood-prone coastal communities where transportation barriers limit access to essential medical services. This study evaluates the effectiveness of drone-based medication delivery in improving healthcare accessibility for vulnerable populations on Virginia’s Eastern Shore. Compared to traditional personal vehicle travel, drone delivery reduced trip times from up to 50 minutes to under 10 minutes for more than 80% of the population, including elderly patients. Using publicly available datasets, we developed two transportation vulnerability indices that incorporate age, travel time, and flood risk to prioritize patients for drone-based pharmaceutical delivery. These …
From Equitable Access To Equitable Usage: Moving Towards Data-Driven, Evidence-Based Cycling Assets Management, Kewei Ren, Yunping Liang, Chun-Hsing Ho
From Equitable Access To Equitable Usage: Moving Towards Data-Driven, Evidence-Based Cycling Assets Management, Kewei Ren, Yunping Liang, Chun-Hsing Ho
Durham School of Architectural Engineering and Construction: Faculty Publications
Cycling is increasingly recognized for its wide range economic, environmental, and health benefits as a mobility option. However, disparities in the provision and the quality of bicycle infrastructure persists. Ensuring fair access and usage of these benefits for all presents a significant challenge. As a result, establishing effective methodologies to evaluate cycling equity is critically important. This paper synthesizes research on infrastructure asset management with a focus on equity considerations in bicycle infrastructure. A systematic review of 19 North American studies critically examines how existing research categorizes vulnerable populations and assesses fairness. The results reveal that most existing analyses focus …
Indiana Interstate Speed Profiles 2020-2024, Rahul Suryakant Sakhare, Jairaj Desai, Deborah Horton, Darcy M. Bullock
Indiana Interstate Speed Profiles 2020-2024, Rahul Suryakant Sakhare, Jairaj Desai, Deborah Horton, Darcy M. Bullock
Indiana Mobility Reports
This report presents a graphical summary of monthly mile-hours of congestion across the 8 Indiana interstates (I-64, I-65, I-69, I-70, I-74, I-94, I-465, and I-469) and the Indiana Toll Road (I-90) analyzed longitudinally over the last five years from January 2020 to December 2024. It is a continuation of speed profile summaries that are published in previous years. Such systemwide interstate performance measures provide important information for decision makers to plan capital projects and assess operations.
Hours of operation by speed bins (0 to 14 mph, 15 mph to 24 mph, 25 mph to 34 mph, 35 mph to 44 …
Crawfordsville District Interstate Speed Profiles: April 2020–March 2025, Rahul Suryakant Sakhare, Jairaj Desai, Deborah Horton, Darcy M. Bullock
Crawfordsville District Interstate Speed Profiles: April 2020–March 2025, Rahul Suryakant Sakhare, Jairaj Desai, Deborah Horton, Darcy M. Bullock
Indiana Mobility Reports
This report presents a graphical summary of monthly mile-hours of congestion across the three interstates (I-65, I-70, and I-74) in INDOT’s Crawfordville District analyzed longitudinally over the last five years from April 2020 to March 2025. It is a continuation of speed profile summaries that are published in previous years. Such systemwide interstate performance measures provide important information for decision makers to plan capital projects and assess operations.
Hours of operation by speed bins (0 to 14 mph, 15 mph to 24 mph, 25 mph to 34 mph, 35 mph to 44 mph, 45 mph to 54 mph, 55 mph …
Artificial Intelligence’S Role And Impact On The Engineering Discipline, Andrew Angelini
Artificial Intelligence’S Role And Impact On The Engineering Discipline, Andrew Angelini
Williams Honors College, Honors Research Projects
The purpose of this Honors Research project was to explore the impact of Artificial Intelligence (AI) on the Engineering Discipline as a whole. Specifically, civil engineering’s discipline of transportation was used to display the effectiveness of AI in engineering. This discipline was used due to its wide use in engineering and overall designs that can be created within this discipline. These designs include maintenance of traffic plans, engineering plan sets, horizontal and vertical curve design, intersection design, traffic signaling, highway material design, and phasing of intersections and traffic accounting for pedestrians. Through similar prompts that were given to a publicly …
Dynamic Modulus Of Sbs-Modified Asphalt Mixtures Added With Ground Tire Rubber Content, Azharul Islam
Dynamic Modulus Of Sbs-Modified Asphalt Mixtures Added With Ground Tire Rubber Content, Azharul Islam
College of Graduate Studies: Theses & Dissertations
The study investigates the improvement of the dynamic shear modulus in the base and styrene butadiene styrene (SBS) modified asphalt mixture by accumulating varying amounts of ground tire rubber through an Asphalt mixture performance tester (AMPT). This thesis specifically explores how different percentages of ground tire rubber (GTR) influence the mechanical properties and durability of the asphalt mixture articulated with two grades, PG 64-22 and PG 76-22. The experimental framework consisted of preparing asphalt mixtures blended with 10% to 15% of the binder for PG 64-22 and 3% to 8% of GTR for PG 76-22. The laboratory testing involved using …
Comparative Analysis Of Lidar And Close-Range Photogrammetry Techniques For Inspection Of Mse Walls In Two Georgia Bridges, Md. Mehrab Hossain
Comparative Analysis Of Lidar And Close-Range Photogrammetry Techniques For Inspection Of Mse Walls In Two Georgia Bridges, Md. Mehrab Hossain
College of Graduate Studies: Theses & Dissertations
Mechanically Stabilized Earth (MSE) retaining walls are durable, settlement tolerant, easy to install, and present cost-effectiveness, in highway bridges. Nevertheless, the cost of repairing MSE walls is high, and it is crucial to have an accurate, quantitative, and scalable inspection method for early detection of potential problems. This study aims to analyze and evaluate undesired displacements that may affect these walls over time. For this, two remote-sensing technologies are considered: Light Detection and Ranging (LiDAR) and 3D Close Range Photogrammetry (CRP). Their performances are compared against an accurate Robotic Total Station (RTS) device, serving as the benchmarking instrument. This work …
Cognitive Map Generation For Vision And Language Navigation, Alexander Sandoval Mesa
Cognitive Map Generation For Vision And Language Navigation, Alexander Sandoval Mesa
Dissertations and Theses
Visual-Language Navigation (VLN) presents significant challenges for autonomous agents, such as robots and virtual assistants, particularly in complex, dynamic environments where the seamless integration of visual perception and natural language understanding is critical. Traditional VLN systems often struggle with effectively aligning language instructions and visual scene understanding, limiting their adaptability and navigation efficiency.
This thesis proposes a novel Cognitive Map-based framework that addresses these challenges by transforming natural language navigation instructions into structured graph representations. The Cognitive Map consists of nodes representing waypoints, landmarks, decision points, and edges encoding spatial relationships and navigational actions. These maps are generated using Large …