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Articles 21151 - 21180 of 196126
Full-Text Articles in Engineering
Optimizing Web Design Code Generation: A Comparative Study Of Finetuning, Pretrained Models, And Rag (Retrieval Augmented Generation), Srinivas Rao Chavan
Optimizing Web Design Code Generation: A Comparative Study Of Finetuning, Pretrained Models, And Rag (Retrieval Augmented Generation), Srinivas Rao Chavan
Master's Projects
Website Creation is revolutionized by automated code generation, reducing the development effort, speeding the production process, and ensuring consistency in design. Automated web design code generation has emerged as a transformative tool bridging the gap between design and development. In this research, a website design tool is developed and used to create visual layouts, exporting them as JSON designs. These JSON outputs were then transformed into textual prompts, optimized using established HCI principles and UI/UX rules to ensure consistency, visual hierarchy, aesthetics and minimalistic design, accessibility, user-friendly navigation and flexibility. These generated prompts were fed into large language models for …
Predicting Quality Of Life In Driving Scene Using Image Recognition Techniques And User Group Information, Ployrada Suvarnakuta
Predicting Quality Of Life In Driving Scene Using Image Recognition Techniques And User Group Information, Ployrada Suvarnakuta
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study presents a machine learning approach for predicting perceived urban Quality of Life (QoL) by integrating visual features from street-level imagery with personal attributes, including demographic, socioeconomic, and travel behavior data. Using datasets from Bangkok and London, we trained supervised models—Support Vector Machines and Multilayer Perceptrons—under multiple input configurations to evaluate the contribution of each data type. Results show that combining visual and personal features improves prediction accuracy compared to using visual features alone. Statistical feature selection identified income, education, housing stability, and travel patterns as consistently important predictors, with some variation across urban contexts. These findings underscore the …
Performance Of Smart Shear Keys In Concrete Bridges Under Tsunami Loading: An Experimental Study, Haibin Zhang, Xinzhe Yuan, Genda Chen, Pedro Lomonaco
Performance Of Smart Shear Keys In Concrete Bridges Under Tsunami Loading: An Experimental Study, Haibin Zhang, Xinzhe Yuan, Genda Chen, Pedro Lomonaco
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Bridges have recently been exposed to an increasing number of natural hazards such as earthquakes and tsunamis. These extreme events have resulted in transverse offsets, overturning moments, and even dropping-off of superstructures due to their weak connection to substructures. These outcomes are potentially prevented or mitigated by developing and deploying sliding, modular, adaptive, replaceable, and two-dimensional (SMART) shear keys as fuse elements between superstructures and substructures. The novelty of SMART shear keys is to enable an adaptive control of both the force and displacement of bridges under different types of loads. In this study, the performance of SMART shear keys …
Predicting High-Impact Research In The Construction Engineering And Management Domain Using Computational Machine Learning, Islam H. El-Adaway, Gasser G. Ali, Muaz O. Ahmed, Radwa Eissa, Mohamad Abdul Nabi, Tamima Elbashbishy, Ramy Khalef
Predicting High-Impact Research In The Construction Engineering And Management Domain Using Computational Machine Learning, Islam H. El-Adaway, Gasser G. Ali, Muaz O. Ahmed, Radwa Eissa, Mohamad Abdul Nabi, Tamima Elbashbishy, Ramy Khalef
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Construction engineering and management (CEM) domain covers multiple evolving sub-disciplines and directions. To understand those directions, numerous research efforts have conducted scientometric analysis of publications to explore their significance and impact. Despite their valuable insights, such research endeavors have been limited to exploratory analyses, whereas no previous attempt has been conducted to predict the future impact of research in CEM. This study fills this knowledge gap by performing a predictive analysis of citation metrics of publications in CEM using machine learning (ML). The developed model was trained on a dataset of 93,868 publications using an XGBoost algorithm. Testing showed that …
Developing Machine Learning Models For Selection Of Management Zones, Sravanthi Bachina
Developing Machine Learning Models For Selection Of Management Zones, Sravanthi Bachina
Electronic Theses and Dissertations
Soil sampling and analyses play a crucial role in optimizing nutrient management and enhancing crop productivity. However, collecting representative samples across diverse landscapes is challenging due to knowledge gaps about spatial variability of soil properties, large fields, multiple samples, and analysis costs. Collecting soil samples based on the management zones can help farmers gather precise information about soil properties with fewer samples. Recent developments in precision agriculture and machine learning. This study aimed to develop machine learning models that can learn, analyze, and refine landscape and soil properties data for automated selection of soil sampling zones and generating prediction maps. …
The Effects Of Degradation On Pla When Combined With Additives In A Single Screw Extruder, Jack Koester
The Effects Of Degradation On Pla When Combined With Additives In A Single Screw Extruder, Jack Koester
Electronic Theses and Dissertations
No abstract provided.
Mechanical Testing Of Novel Biopolymers For The Replacement Of Petroleum-Based Plastic Hay Bale Net Wrapping, Logan Wolf
Mechanical Testing Of Novel Biopolymers For The Replacement Of Petroleum-Based Plastic Hay Bale Net Wrapping, Logan Wolf
Electronic Theses and Dissertations
The purpose of this thesis is to test biopolymers synthesized from oilseeds or produced from agricultural wastes for large bale net wrapping as a viable alternative to conventional petroleum-based plastics (PBP). The goal is to test and assess novel polymers to guide the synthesis of a benign biodegradable polymer. Biobased net wrapping will significantly reduce ingestion of PBPs in animals such as ruminants to improve digestive health and minimize cattle loss due to plastic disease. Biobased plastics will also achieve partial or complete breakdown shortly after service without depositing microplastics in the environment. This will reduce the risk of damage …
Assessing The Performance And Cost Effectiveness Of Rainwater Harvesting For High Tunnel Production Across Climates In The Continental United States, Mustafa Aydogdu
Assessing The Performance And Cost Effectiveness Of Rainwater Harvesting For High Tunnel Production Across Climates In The Continental United States, Mustafa Aydogdu
Electronic Theses and Dissertations
Several factors such as global climate change, population growth, urban and agricultural expansion, rising water demand, unequal water distribution, hydro-political conditions, declining water quality, rainwater scarcity, and temperature-induced drought contribute to water resource degradation. Rainwater harvesting (RWH) emerges as a sustainable solution, involving the collection and storage of rainwater for agriculture, livestock, and domestic use. RWH reduces reliance on municipal water, mitigates climate change impacts, and decreases runoff. Conventional RWH systems in the US vary in effectiveness. Increasing storage and water use enhances RWH effectiveness, improving stormwater runoff and reducing potable water use. High tunnel production of vegetable crops has …
Climate Change Adaptation For Embankment Through Biogeotechnics, Debayan Ghosh
Climate Change Adaptation For Embankment Through Biogeotechnics, Debayan Ghosh
Electronic Theses and Dissertations
Problematic soil like expansive soil, and frost-susceptible soil causes significant damage to civil infrastructure. The use of calcium-based stabilizers in the treatment of sulfate-rich expansive soils is not suggested due to the formation of ettringite. Infrastructure such as pavements and embankments built on expansive soil are often exposed to the damaging impacts of freeze-thaw cycles in areas prone to seasonal freezing making them vulnerable to cracking and spalling. In this study, a native expansive soil from South Dakota with a sulfate content of more than 10,000 ppm was stabilized using biopolymer and cement. The experimental study investigated the strength and …
Field Scale Evaluation Of A Flow-Through Filtration System With Mixed Media To Remove E. Coli From Stormwater, Ankur Debnath
Field Scale Evaluation Of A Flow-Through Filtration System With Mixed Media To Remove E. Coli From Stormwater, Ankur Debnath
Electronic Theses and Dissertations
The main goal of this research was to establish a field-scale stormwater filtration system which is flow-through and cost-effective in terms of construction and maintenance. The filter is constructed in a downstream drainage of a retention pond where the stormwater goes through the porous space of media so that it maintains low retention time with minimum disturbance in flow. The filter consists of two 20ft long sections with concrete channel and ripraps on the inlet & outlet side. 30% Steel chips and 70% steel slags in the size range of 6.00-12.5 mm have been used as media which has been …
Comparative Analysis Of Different Cfd Turbulence Models For A Diesel Pool Combustion Event In An Underground Mine: A Case Study, Ashish Ranjan Kumar, Oluwafemi Salami, Nana A. Amoah, Guang Xu
Comparative Analysis Of Different Cfd Turbulence Models For A Diesel Pool Combustion Event In An Underground Mine: A Case Study, Ashish Ranjan Kumar, Oluwafemi Salami, Nana A. Amoah, Guang Xu
Mining Engineering Faculty Research & Creative Works
Underground Mine Fires Are Dangerous, Consume Resources, and Emit Pollutants. Therefore, Acquiring In-Mine Data for Fire Research is Hazardous and Expensive Due to Unsteady Temperature Changes and Toxic Gas Emissions. Computational Fluid Dynamics (CFD) Models Are Often Developed to Mimic Airflows and Combustion-Associated Heat Transfer. However, Research on the Performance Evaluation of the CFD Turbulence Models to Mimic Fire Events is Limited. This Paper Summarises the Modelling Results for a Diesel Pool Fire Event in an Experimental Underground Mine that Uses an Exhaust Ventilation System. a Fire Dynamics Simulator (FDS) Model Was Developed to Show the Spatio-Temporal Temperature Evolution. Reynolds-Averaged …
Investigation Into Helmet–Head Shock Wave Interactions At Low Overpressures Through Free-Field Blasts And Schlieren Imagery, C. J.H. Thomas, Catherine E. Johnson
Investigation Into Helmet–Head Shock Wave Interactions At Low Overpressures Through Free-Field Blasts And Schlieren Imagery, C. J.H. Thomas, Catherine E. Johnson
Mining Engineering Faculty Research & Creative Works
Brain Injuries in Warfighters Due to Low-Level Blasts, Even While Wearing a Helmet, Are Common. Understanding How the Form of a Shock Wave Changes When Impacting a Head Donning a Helmet May Present Solutions to Reducing Shock Loading on the Head, Thereby Reducing the Prevalence of Blast-Induced Traumatic Brain Injury. a Manikin with PCB Piezoelectric Transducers throughout the Head Was Exposed to Low-Pressure Free-Field Blasts using an RDX-Based Explosive Charge Designed to Output a Side-On overpressure of 4 Pounds Per Square Inch (Psi) [27.5 Kilopascals (KPa)] with and Without a Helmet. Orientations of 0, 45, 90, 135, and 180 Degrees …
Progress Of Lisap-Mse: A Concept Of Producing Aluminum In-Situ On The Moon Through Molten Salt Electrolysis, Jacob N. Ortega, David Bayless, Daniel Stutts, Daoru Han, Todd P. Sander, Jeffrey Smith, Fateme Rezaei, William Schonberg
Progress Of Lisap-Mse: A Concept Of Producing Aluminum In-Situ On The Moon Through Molten Salt Electrolysis, Jacob N. Ortega, David Bayless, Daniel Stutts, Daoru Han, Todd P. Sander, Jeffrey Smith, Fateme Rezaei, William Schonberg
Mechanical and Aerospace Engineering Faculty Research & Creative Works
This paper presents a concept of producing aluminum in-situ on the lunar surface, namely, the Lunar In-Situ Aluminum Production through Molten Salt Electrolysis (LISAP-MSE) method developed at Missouri University of Science and Technology. This paper aims to demonstrate the use of electro-deoxidation to reduce aluminum oxide (i.e., alumina) into aluminum and oxygen gas via electrolysis in a molten salt bath for the production of aluminum on the Moon. It is shown that with a steady supply of hydrogen chloride, this in-situ resource utilization (ISRU) method could supply several necessary materials consumed in the electro-deoxidation process except hydrogen chloride to produce …
Environmental Friendly Applications Of Ground Tire Rubber (Gtr) In Producing Concrete, Zahid Hossain, Ashraf Elsayed, Abu Sayed Mohammad Akid
Environmental Friendly Applications Of Ground Tire Rubber (Gtr) In Producing Concrete, Zahid Hossain, Ashraf Elsayed, Abu Sayed Mohammad Akid
Publications
Millions of waste automobile tires are generated yearly, an ever-growing issue for solid waste management authorities in Arkansas. Using waste tires as fuel generates toxic gases or dumping them in landfills is not sustainable. Hence, it is crucial to minimize the issues of managing and disposing of waste tires and incorporate them into concrete as construction material. This study aimed to investigate the fresh, mechanical, and durability properties of concrete incorporating waste ground tire rubber (GTR) as a replacement for sand and micronized rubber powder (MRP) as a replacement for cement. A total of eight concrete mixtures were prepared using …
Design Of 3d Printable Eco-Concrete By Utilizing Rheology Modifiers For Sustainable Infrastructure, Maryam Hojati, Muhammad Saeed Zafar
Design Of 3d Printable Eco-Concrete By Utilizing Rheology Modifiers For Sustainable Infrastructure, Maryam Hojati, Muhammad Saeed Zafar
Data
In recent years, 3D printing technology has gained significant momentum across various industries within the construction sector, 3D printing has emerged as a promising technique; however, there are challenges associated with designing suitable construction materials and adjusting their properties for the 3D printing process. One of the key considerations in this regard is the rheological properties, encompassing parameters such as viscosity, yield stress, and thixotropy. These properties play a pivotal role in shaping the characteristics of 3D-printed concrete, both in its fresh and hardened states, including buildability, extrudability, and mechanical performance. Researchers have traditionally relied on chemical admixtures, such as …
Bridge Inspection Training And Enhanced Operations Using Augmented Reality, Fernando Moreu, Ali Mohammadkhorasani, Kaveh Malek
Bridge Inspection Training And Enhanced Operations Using Augmented Reality, Fernando Moreu, Ali Mohammadkhorasani, Kaveh Malek
Data
This research project focused on the innovative application of Augmented Reality (AR) headsets to enhance bridge inspection processes and inspection training. The study encompassed the visualization of 3D point cloud data, utilized the Eye-Tracking features of AR headsets for inspection quantification, evaluate the applicability of AR in the bridge inspection training and instruction of an AR virtual menu for the in-field bridge inspection. The primary tasks included establishing a database connection for AR headset, designing an AR menu tailored for bridge inspection, devising an evaluation method based on Eye-Tracking capabilities, and integrating AR into bridge inspection training. Once the technical …
Countermeasures To Improve Pedestrian Safety On Arterials, Nicholas Ferenchak
Countermeasures To Improve Pedestrian Safety On Arterials, Nicholas Ferenchak
Data
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 …
Environmental Friendly Applications Of Ground Tire Rubber (Gtr) In Producing Concrete, Zahid Hossain, Ashraf Elsayed, Abu Sayed Mohammad Akid
Environmental Friendly Applications Of Ground Tire Rubber (Gtr) In Producing Concrete, Zahid Hossain, Ashraf Elsayed, Abu Sayed Mohammad Akid
Data
Millions of waste automobile tires are generated yearly, an ever-growing issue for solid waste management authorities in Arkansas. Using waste tires as fuel generates toxic gases or dumping them in landfills is not sustainable. Hence, it is crucial to minimize the issues of managing and disposing of waste tires and incorporate them into concrete as construction material. This study aimed to investigate the fresh, mechanical, and durability properties of concrete incorporating waste ground tire rubber (GTR) as a replacement for sand and micronized rubber powder (MRP) as a replacement for cement. A total of eight concrete mixtures were prepared using …
Prediction Of Moisture Resistance Of Polymeric Asphalt Binders Through The Atomic Force Microscopy (Afm) Technique, Zahid Hossain, Ashraf Elsayed, Khaja Sameer Sadat
Prediction Of Moisture Resistance Of Polymeric Asphalt Binders Through The Atomic Force Microscopy (Afm) Technique, Zahid Hossain, Ashraf Elsayed, Khaja Sameer Sadat
Data
Moisture damage is a significant concern for state Departments of Transportation (DOTs) and other agencies due to its adverse impact on pavement performance as well as longevity. The main focus of the current study project is to quantify, at the molecular level, the interaction between binder and aggregate at the interface level in the form of adhesion forces between bitumen samples and minerals of various chemical compositions. First of all, A thorough review of the literature on moisture degradation in asphalts was conducted. Based on the literature review, a comprehensive project plan and test matrix were created. Binder samples from …
Smart3pm: Smart Pavement Monitoring, Management, And Maintenance, Damien Stephens, Mena Souliman, Mukul Shirvaikar, Samer Dessouky
Smart3pm: Smart Pavement Monitoring, Management, And Maintenance, Damien Stephens, Mena Souliman, Mukul Shirvaikar, Samer Dessouky
Data
An application specific multi-platform smartphone application can utilize on-board accelerometer, gyroscope, and GPS sensors, along with software derived signals from the same sensors, to sample vibrational and geolocation datasets to capture pavement distresses such as potholes when mounted in a standardized configuration in a vehicle. Several observations were made with regard to the signals obtained from the accelerometer, gyroscope, and GPS sensors, and it was determined that the raw sensor outputs are capable of sampling statistically significant datasets which can be used to distinguish pavement distress from normal driving conditions. Furthermore, an approximate sensor noise margin is established, and a …
Green Mobility In Texas: Comparative Environmental Impacts And Lifecycle Cost Analysis Of Hybrid, Electric, And Hydrogen Fuel Cell Cars, Raghava R. Kommalapati, Hongbo Du, Md Jobair Bin Alam
Green Mobility In Texas: Comparative Environmental Impacts And Lifecycle Cost Analysis Of Hybrid, Electric, And Hydrogen Fuel Cell Cars, Raghava R. Kommalapati, Hongbo Du, Md Jobair Bin Alam
Data
Compared to gasoline/diesel cars and battery electric cars (BECs), hydrogen fuel cell cars (HFCCs) are relatively new. Two main advantages of HFCCs over electric vehicles are no special requirements for heavy batteries and long charging time. There is no HFCC in Texas; thus, exploring the use of electricity or hydrogen produced from renewable energies for personal cars and mitigating vehicle emissions is critical for sustaining a long-term decarburization strategy for megacities like Houston and Dallas. This project addressed this critical gap and developed environmental impacts and cost assessments for hybrid gasoline cars, BECs, and HFCCs in Texas under several possible …
Climate Change Impacts On Asset Management Of Texas Concrete Bridges, Muhammad Ali, Jiannan Cai, Ao Du
Climate Change Impacts On Asset Management Of Texas Concrete Bridges, Muhammad Ali, Jiannan Cai, Ao Du
Publications
This study investigates the interplay of climate-induced deterioration factors impacting concrete bridges in Texas, focusing on chloride and carbonation-induced corrosion. It integrates Fick’s second law to model chloride diffusion and employs empirical equations to predict corrosion initiation and severe crack damage. Sensitivity studies across representative Texas cities (Houston, Dallas, and Amarillo) shows varying deterioration risks due to climate change. Results highlight chloride-induced corrosion as more prominent, particularly affecting coastal bridges in Houston, while carbonation corrosion is negligible due to favorable concrete cover. Condition rating mapping simulations incorporating crack width effects, traffic impact, and maintenance interventions are calibrated against recorded National …
Motorcycle Crash Analysis, Hatim Sharif, Samer Dessouky
Motorcycle Crash Analysis, Hatim Sharif, Samer Dessouky
Data
The Fatality Analysis Reporting System database shows that, in stark contrast to the 34 percent decline in non-motorcyclist crash–related fatalities, motorcyclist crash–related fatalities were up 86 percent with only three year-to-year declines since 1997, while non-motorcyclist crash–related fatalities had 13 year-to-year declines since 1997. At the national level, the rate of motorcyclist fatalities per vehicle mile traveled is 29 times higher than the rate among passenger car occupants, with overall injury rates approximately five times higher among motorcyclists than passenger car occupants. Given the frequency of motorcycle crashes and their staggering toll in terms of loss of life and economic …
The Effect Of Covid-19 Lockdown On Traffic Crashes In Texas., Hatim Sharif, Samer Dessouky
The Effect Of Covid-19 Lockdown On Traffic Crashes In Texas., Hatim Sharif, Samer Dessouky
Data
An analysis of traffic patterns during COVID-19 has identified that reduction in the miles traveled has a significant negative correlation with COVID-19 cases and deaths across the USA. Preliminary statistics in the US suggest an increase in fatal crashes over the period of the lockdown in comparison to the same period in previous years. Moreover, while total crashes are down, motor vehicle crashes involving non-motorists became more prevalent. At the same time, non-motorist traffic has increased while motor vehicle traffic and crashes have shifted to the local systems. The main goal of this research is to perform a comprehensive evaluation …
Identifying Wrong-Way Driving Entry Points On Interstate Highways Using Land-Use Impact Assessment And 911 Calls, Farman Mia, Samer Dessouky
Identifying Wrong-Way Driving Entry Points On Interstate Highways Using Land-Use Impact Assessment And 911 Calls, Farman Mia, Samer Dessouky
Data
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 …
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
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
Data
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 …
Stabilization Of Expansive Soil Using Geopolymers From Locally Available Resources, Anand Puppala, Miladin Radovic, Nripojyoti Biswas, Sopharith Chou, Oscar Huang
Stabilization Of Expansive Soil Using Geopolymers From Locally Available Resources, Anand Puppala, Miladin Radovic, Nripojyoti Biswas, Sopharith Chou, Oscar Huang
Data
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 …
Reinforcing Network Resilience To Support Equitable Disaster Evacuation, Kate Kyung Hyun, Stephen Mattingly, Mehrdad Arabi, Md Ashraful Imran
Reinforcing Network Resilience To Support Equitable Disaster Evacuation, Kate Kyung Hyun, Stephen Mattingly, Mehrdad Arabi, Md Ashraful Imran
Data
The research report presents an extensive analysis of hurricane evacuation strategies, highlighting the critical role of transportation networks in emergency situations. It examines how variables such as hurricane severity and the geographic positioning of residential areas impact evacuation patterns, using real-time GPS data and the Rayleigh distribution to accurately model evacuation timing. The study is focused on assessing the transportation network's capacity to handle the surge in evacuation traffic, identifying the most critical links within the network that are vital for effective evacuation. Additionally, the report offers an in-depth look at the socio-economic implications of these evacuation strategies, particularly underscoring …
Impact Of Autonomous Vehicle (Av)-Based On-Demand Transportation Services On Traffic Crashes, Sharareh Kermanshachi, Sai Sneha Channamallu, Apurva Pamidimukkalla
Impact Of Autonomous Vehicle (Av)-Based On-Demand Transportation Services On Traffic Crashes, Sharareh Kermanshachi, Sai Sneha Channamallu, Apurva Pamidimukkalla
Publications
This technical report investigates the burgeoning field of Autonomous Vehicles (AVs), a transformative technology set to redefine transportation by enhancing safety, efficiency, and reducing human error. Despite their potential, AVs introduce complex challenges and safety concerns, particularly in urban environments. This study focuses on California from 2014 to 2022, offering a comprehensive examination of AV collision patterns, safety dynamics, and performance compared to Conventional Vehicles (CVs). Therefore, the objectives of this study are to (1) analyze trends in AV crashes to identify recurring patterns or anomalies that may indicate underlying issues or areas for improvement, (2) utilize the latest data …
Reinforcing Network Resilience To Support Equitable Disaster Evacuation, Kate Kyung Hyun, Stephen Mattingly, Mehrdad Arabi, Md Ashraful Imran
Reinforcing Network Resilience To Support Equitable Disaster Evacuation, Kate Kyung Hyun, Stephen Mattingly, Mehrdad Arabi, Md Ashraful Imran
Publications
The research report presents an extensive analysis of hurricane evacuation strategies, highlighting the critical role of transportation networks in emergency situations. It examines how variables such as hurricane severity and the geographic positioning of residential areas impact evacuation patterns, using real-time GPS data and the Rayleigh distribution to accurately model evacuation timing. The study is focused on assessing the transportation network's capacity to handle the surge in evacuation traffic, identifying the most critical links within the network that are vital for effective evacuation. Additionally, the report offers an in-depth look at the socio-economic implications of these evacuation strategies, particularly underscoring …