Impact Of Augmented Documentation Workflows On Transportation Agency Asphalt Paving Operations: A Qualitative And Quantitative Study,
2024
University of Kentucky
Impact Of Augmented Documentation Workflows On Transportation Agency Asphalt Paving Operations: A Qualitative And Quantitative Study, Josh Withrow
Theses and Dissertations--Civil Engineering
e-Ticketing was an intriguing technology to many state transportation agencies (STAs) pre-COVID-19 pandemic but gained significant attention upon arrival of the pandemic due to the contactless nature of the technology. Research completed prior to the pandemic into e-ticketing for asphalt paving primarily identified qualitative benefits and concerns. However, minimal academic literature exists in the post-pandemic era discussing the additional e-ticketing benefits not previously captured which resulted in increased implementation by STAs. This research seeks to address this gap by gathering information from state members of the American Association of State Highway and Transportation Officials Committee on Construction (AASHTO COC), employees …
Geophysical Method Used For The Determination And Prediction Of Soil Strength And Stiffness Parameters,
2024
University of Kentucky
Geophysical Method Used For The Determination And Prediction Of Soil Strength And Stiffness Parameters, Dabo Adama
Theses and Dissertations--Civil Engineering
This paper presents the results of an effort to use geophysical measurements such as seismic wave velocities and electrical resistivities to calculate airfield design parameters. The study converts all geophysical measurements to equivalent California Bearing Ratio (CBR) values, comparing CBR values estimated from DCP penetration resistance with CBR values estimated from shear wave velocity and electrical resistivity values. Relationships linking the geophysical measurements to CBR estimates were established using laboratory data and applied to field in-situ measurements. The elastic modulus (E) is the stiffness parameter involved in predicting soil strength and stiffness. This research aims to relate electrical conductivity and …
Advanced Network And Graph Theoretical Approaches To Urban Traffic Control And Optimization,
2024
University of Texas at Arlington
Advanced Network And Graph Theoretical Approaches To Urban Traffic Control And Optimization, Peirong Wang
Civil Engineering Dissertations - Archive
This article-based dissertation consists of four complete manuscripts related to using proposed advanced network and graph theoretical approaches to optimize traffic control. Manuscript One addresses the integration of Connected Automated Vehicles (CAVs) and human-driven vehicles in heterogeneous traffic networks. Traditional models assume uniform driving behaviors, which are now inadequate. To address this, an integer programming formulation for a vehicle-oriented traffic dynamics model in space-time networks is introduced. This model distinguishes between individual vehicles and their unique driving behaviors, capturing diverse attributes of heterogeneous traffic flow. The manuscript demonstrates how the model can estimate the propagation of backward shockwaves for scheduled …
Recycling Waste Plastics From E-Waste And Household Sources For Sustainable Asphalt Construction,
2024
Michigan Technological University
Recycling Waste Plastics From E-Waste And Household Sources For Sustainable Asphalt Construction, Sepehr Mohammadi
Dissertations, Master's Theses and Master's Reports
The generation of waste plastics is continuing to grow year after year which can also provide valuable opportunities for researchers in different areas to find new applications that will eliminate their potential risks to environment and human health. For instance, in 2022 alone, global plastic production was increased to a remarkable 400.3 million metric tons, showing a 1.6 percent rise from 2021. Another notable example is the waste plastics from electronic waste (e-waste) sources which constitute up to 20% of e-waste streams. The advancement of global economies and technology has resulted in a notable increment of the volume of electronics …
The Intellectual Structure And The Future Of Counter-Uncrewed Aerial Systems (Uas) Research: A Bibliometric And A Scoping Review,
2024
Embry-Riddle Aeronautical University
The Intellectual Structure And The Future Of Counter-Uncrewed Aerial Systems (Uas) Research: A Bibliometric And A Scoping Review, Chuyang Yang, Chenyu Huang, Yanhui Zhao
International Journal of Aviation, Aeronautics, and Aerospace
With advancements in remote sensing technology and affordable design, uncrewed aerial systems (UAS), commonly known as drones, have become prevalent in civil and military applications, such as agriculture, public safety, and aerial imaging. However, the rise in unlawful UAS activities, such as non-compliance with legal standards and potential terrorist attacks, has raised significant public concern, necessitating effective detection and mitigation solutions. Despite the growing importance of this issue, comprehensive and detailed examinations of existing counter-UAS solutions are lacking. To address this gap, this study conducts a bibliometric analysis and scoping review of the current literature to identify key topics and …
Predictive Modeling Of Healthcare Traffic Using Machine Learning: A Comparative Study,
2024
Old Dominion University
Predictive Modeling Of Healthcare Traffic Using Machine Learning: A Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md. Rafid Hassan, Nondon Lal Dey, Md. Sobuj Hossain
Electrical & Computer Engineering Faculty Publications
Effective healthcare traffic management is critical for ensuring prompt medical services, particularly in emergencies where delays can have life-threatening consequences. This study conducts a comparative analysis of three popular machine learning models—Linear Regression, Decision Trees, and Random Forests—for predicting healthcare-related traffic volumes. Utilizing a comprehensive dataset from a metropolitan interstate traffic system, the models were evaluated based on key performance metrics, including Mean Squared Error (MSE), R² Score, and execution time. The findings demonstrate that the Random Forest model outperforms the others, offering superior predictive accuracy and efficiency. These insights are valuable for optimizing traffic management in healthcare, ultimately contributing …
Data From: Active Transportation Counts From Existing On-Street Signal And Detection Infrastructure,
2024
Portland State University
Data From: Active Transportation Counts From Existing On-Street Signal And Detection Infrastructure, Sirisha Kothuri, Patrick Allen Singleton, Mahyar Vahedi Saheli, Elizabeth Yates, Joseph P. Broach
Civil and Environmental Engineering Faculty Datasets
This study’s objective was to use data from existing traffic signal infrastructure to estimate pedestrian volumes. Pedestrian push-button actuations were collected from signal controller logs at 49 intersections in western Oregon and an additional 16 intersections in eastern Oregon. These actuations were then compared to observed pedestrian counts, totaling over 34,000 people, obtained from video recordings. After exploring various options, a simple quadratic relationship was modeled using a single measure of pedestrian signal activity: the number of push-button presses (filtered to remove multiple presses within 15 seconds). The model’s predictions showed a correlation of 0.86 with observed pedestrian volumes and …
Evaluation Of Aashto Seismic Design For Reinforced Concrete Bridge Columns,
2024
South Dakota State University
Evaluation Of Aashto Seismic Design For Reinforced Concrete Bridge Columns, Andrew Leroy Grismer
Electronic Theses and Dissertations
Bridge failure can be catastrophic resulting in casualties and limiting the accessibility and emergency response efforts. Ensuring a high level of ductility for bridge columns through sufficient design methods and detailing is the most important aspect of the modern seismic codes. Reinforced concrete (RC) bridge columns are widely used in multi-span bridges located in seismic regions of the nation due to their controlled ductility and durability. The objective of this study was to systematically evaluate the AASHTO seismic design requirements for RC bridge columns and to comment on whether current bridge code is sufficient and safe. An extensive literature review …
Automated Flood Depth Estimation On Roadways,
2024
Old Dominion University
Automated Flood Depth Estimation On Roadways, Kwame Ampofo, Megan A. Witherow, Alex Glandon, Monibor Rahman, Ahmed Temtam, Mecit Cetin, Khan M. Iftekharuddin
Civil & Environmental Engineering Faculty Publications
Recurrent nuisance flooding is common across many parts of the globe and causes extensive challenges for drivers on the roadways. The prevailing monitoring methods for roadway flooding are costly and not automated or effective. The ubiquity of visual data from cameras and advancements in computing such as deep learning may offer cost-effective methods for automated flood depth estimation on roadways based on reference objects such as cars. However, flood depth estimation faces challenges due to the limited amount of data annotated with water levels and diverse scenes showing reference objects at various scales and perspectives. This study proposes a novel …
Extending Trailer,
2024
The University of Akron
Extending Trailer, Alex Grove
Williams Honors College, Honors Research Projects
The goal of this research project is to revolutionize the convenience in towable transportation. This innovative design aims to enhance the versatility of pull-behind trailers by incorporating an extendable feature, allowing users to effortlessly adjust the length according to their specific needs. Whether navigating tight spaces or accommodating extra cargo, our trailer adapts to diverse situations, providing unmatched flexibility. In addition to its adjustable length, the trailer is engineered to be compactable, addressing the storage constraints often faced by users with limited space. The collapsible design ensures easy storage without compromising on functionality, making it an ideal solution for individuals …
Countermeasures To Improve Pedestrian Safety On Arterials,
2024
University of New Mexico
Countermeasures To Improve Pedestrian Safety On Arterials, Nicholas Ferenchak
Publications
This work analyzed the pedestrian safety and overall traffic safety impacts – in terms of both motor vehicle speeds and crash outcomes – of several countermeasures applied to the Central Avenue arterial corridor in Albuquerque, New Mexico. Findings suggest that the infrastructure changes associated with a bus rapid transit (BRT) system improved traffic safety by reducing vehicle 85th percentile speeds by 11.5% and reducing serious and fatal injuries by 60.0%. While pedestrian safety outcomes were more variable, pedestrians generally fared better on BRT segments than on control segments. The mechanism behind these improvements was traffic calming through the BRT’s …
Economic, Environmental, And Social Characteristics Of E-Scooters On Lsu Campus,
2024
Louisiana State University
Economic, Environmental, And Social Characteristics Of E-Scooters On Lsu Campus, Mostafa Elseifi, Md Afif Rahman Chowdhury
Publications
This study provides a comprehensive evaluation of e-scooter technology, with a focus on its environmental, economic, and social impacts, particularly within university settings at the Louisiana State University (LSU) campus. A life-cycle assessment (LCA) was conducted to assess the environmental sustainability of e-scooters, encompassing all stages from raw materials acquisition to end-of-life. The analysis determined that the total CO2 emissions for an e-scooter over a five-year lifespan were approximately 389 kg, with significant reductions possible by improving the lifespan of e-scooters, integrating recycled materials, and utilizing renewable energy sources for charging batteries. The study also compared the environmental and …
Vehicle Classification Technologies For Toll Collection,
2024
Oklahoma State University
Vehicle Classification Technologies For Toll Collection, Samir Ahmed
Publications
Toll facilities (roads, bridges, and tunnels) are intended for revenue generation to pay off the long-term debt issued to finance construction, capacity expansion, operations, and maintenance of these facilities. Tolls are one form of a broad concept known as road pricing. In addition to revenue generation, road pricing is used for other reasons including transportation demand management to reduce peak hour travel and the recurring traffic congestion on some corridors. The aim of this study is to provide the tolling industry with detailed analysis of the suitability of various non‐ pavement‐intrusive vehicle classification technologies (imaging using radar, Lidar, thermal profiling, …
Designing And Characterizing New Coating Materials To Increase The Corrosion Resistance Of Steel Reinforcement Embedded In Concrete,
2024
Texas A&M University
Designing And Characterizing New Coating Materials To Increase The Corrosion Resistance Of Steel Reinforcement Embedded In Concrete, Homero Castaneda Lopez
Publications
To develop a sustainable and durable rebar on different elements of the RC as a corrosion control system in regions where corrosion is the leading risk for the infrastructure system. The outcome of this research leads to a comprehensive report that provides methods, testing results, peer review papers, conference proceedings, and guidance for the utilization of rebar for corrosion control actions in RC, capable of long-term performance in harsh corrosive environments (deicing cycle conditions). Workforce development will also take place through a series of outreach activities targeting the broader audience of corrosion, civil, and materials engineers, and potential industrial partners …
Evaluating The Moisture Susceptibility Of Asphalt Mixes In Oklahoma,
2024
Oklahoma State Univesrity
Evaluating The Moisture Susceptibility Of Asphalt Mixes In Oklahoma, Mohamed Elkashef, Samir Ahmed, Sina Mousavi Rad
Publications
Moisture-induced damage can be detrimental to asphalt pavements. The modified Lottman approach (AASHTO T 283) is used to evaluate the stripping susceptibility of mixtures in Oklahoma. There are concerns about the ability of the AASHTO 283 to predict moisture damage in the field. In this study, the AASHTO T 283, the moisture-induced stress tester (MiST), and the Hamburg wheel tracking (HWT) test are used to evaluate the moisture susceptibility of mixes prepared using different gradations, local aggregate sources, and binders sampled from different refineries in Oklahoma. The mixes were also tested for cracking and rutting using the indirect tensile asphalt …
Monitoring Of Transportation System Assets Using Synthetic Aperture Radar (Sar) Satellite Data,
2024
Texas A&M University
Monitoring Of Transportation System Assets Using Synthetic Aperture Radar (Sar) Satellite Data, Anand Puppala, Nripojyoti Biswas, Amit Gajurel
Publications
This research harnessed both high and medium resolution Synthetic Aperture Radar (SAR) data to delve into infrastructure health assessment. High resolution SAR analyses capable of identifying differences between asphalt and concrete pavement surfaces. Particularly, it was found that Normalized Radar Cross Section (NRCS) values can deftly distinguish pavement types and detect surface anomalies such as alligator cracks in asphalt ahead of conventional methods. On the other hand, Time-Series Interferometric Synthetic Aperture Radar (InSAR) insights, extracted from medium resolution SAR, established a direct linkage between environmental factors and ground deformations. Such findings were corroborated by optical images collected during May 2017 …
Stabilization Of Expansive Soil Using Geopolymers From Locally Available Resources,
2024
Texas A&M University
Stabilization Of Expansive Soil Using Geopolymers From Locally Available Resources, Anand Puppala, Miladin Radovic, Nripojyoti Biswas, Sopharith Chou, Oscar Huang
Publications
Traditional calcium-based stabilizers are generally used to stabilize native expansive soils that are often found throughout Region 6. Due to their high carbon footprint, many studies are being conducted to identify a suitable green alternative for stabilizing expansive soils. Geopolymer (GP) received a lot of attention in the past few decades owing to its similar properties to that of ordinary Portland cement (OPC) yet with a lower carbon footprint. Previous studies have shown that metakaolin-based GP is an effective stabilizer to stabilize expansive soils. This study investigated the feasibility of stabilizing native expansive soils with GP synthesized with locally sourced …
Framework Of Internal Damage Identification In Inhomogeneous Medium Interweaving Wave Scattering Model And Deep Learning,
2024
University of Texas at Arlington
Framework Of Internal Damage Identification In Inhomogeneous Medium Interweaving Wave Scattering Model And Deep Learning, Suyun Ham, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David
Publications
The primary objective of this project is to investigate the framework of internal damage identification in inhomogeneous media (IHM) using deep learning techniques and wave scattering. The study focuses on two main steps: 1) analyzing the wave response pattern in homogeneous media (HM) and 2) characterizing the wave response variation (WRV) in IHM with different aggregate sizes and random distributions. The WRV patterns are then classified and used to predict internal damage using a convolutional neural network (CNN). The accuracy of the finite element (FE) model is verified using laboratory tests with artificial internal crack models of varying depths. The …
Identifying Wrong-Way Driving Entry Points On Interstate Highways Using Land-Use Impact Assessment And 911 Calls,
2024
University of Texas at San Antonio
Identifying Wrong-Way Driving Entry Points On Interstate Highways Using Land-Use Impact Assessment And 911 Calls, Farman Mia, Samer Dessouky
Publications
The research aims to provide insight into the initiation event of Wrong-way Driving (WWD) on highways. The intense severity of a WWD accident is encouraging the authorities to install mitigation systems that will ensure safety for motorists on highways. The WWD events are mostly resulting of intoxicated driving, where the unconscious driver takes the wrong way to enter the highway and place other motorists into life-threatening danger. This research attempted to explore from basic knowledge of WWD occurrence to examine the origin and driving philosophy of intoxicated drivers from land-use impact and mathematical modeling point of views. To identify the …
Automated Vehicle Impacts On Underserved Populations,
2024
University of Texas at Arlington
Automated Vehicle Impacts On Underserved Populations, Kate Kyung Hyun, Stephen Mattingly, Katie Kam
Publications
This research report describes the scenario framework created to determine the potential role automated vehicles (AVs) have in benefiting and adversely impacting the following underserved populations: people with disabilities and impairments (visually, hearing, physically, intellectually) and with autism spectrum disorder, younger and older populations, immigrants, low income, indigenous, rural, female and LGBTQ+, vulnerable road users (cyclists, pedestrians, low speed riders and drivers), and minority races. After presenting a literature review, three chapters explain the 3 modules of the framework: (1) scenario construction, (2) scenario factors, and (3) GIS methodology for evaluating community level AV impacts. Module 1 describes the use …
