Civil Engineering Commons^™

Performing Motorized-To-Non-Motorized Crash Analysis Using Multi-Model Lbs Traffic Data Calibrated Through Random Forest Models, Nicholas Aldridge

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Traditionally, traffic prediction has been an engineering challenge due to insufficient quantities of data. In this thesis, the use of a new type of data called location-based service (LBS) data from StreetLight (StL) and a large database of multi-modal traffic counts are used to infer vehicle, pedestrian, and bicycle volumes on all road segments in Lincoln, Nebraska. Additional land use features are incorporated into the model from the EPA Smart Location Database (EPA-SLD). The use of random forest models provides strong measures of fit for all modes, with R² scores of 0.98 for both the bicycle and pedestrian modes …

Study On Performance And Dynamic Response Of Composite Stress Absorber Layer, Yang Sanqiang, Li Pengfei, Liu Lu, Cao Zilong

Journal of China & Foreign Highway

In order to compare the performance difference among the composite stress absorption layer, SBS stress absorption layer, and glass grille stress absorption layer, the dynamic response law of the composite stress absorption layer was explored. In this paper, based on the composite stress absorption layer composed of glass grille + rubber-modified asphalt gravel sealing layer, the UTM-25 test system was employed to carry out inter-layer shear, inter-layer tension, low temperature bending, and four-point fatigue test. By laying test sections and sensors, strain information of the stress absorption layer under different conditions was collected. It was found that the bonding force …

Analyzing Major Elements Of Crash Injury Severity Involving Priority-I Detriments Of Vision-Zero Plan, Muhammad Umer Farooq, Cole Madson, Aemal Khattak

Mid-America Transportation Center: Final Reports and Technical Briefs

Road traffic crashes result in significant economic losses for individuals, their families, and entire nations. These losses stem from the expenses associated with injury treatment, as well as the productivity lost due to fatalities or disabilities caused by these injuries. The 2030 Agenda for Sustainable Development set an ambitious target of halving the global number of fatalities and injuries from road traffic crashes by 2020 and achieving zero deaths by 2030, commonly referred to as the 'Target Zero Plan.' The Target Zero Plan prioritizes traffic safety issues into three distinct levels. The three priority levels are determined based on the …

Exploring Statistical And Machine Learning-Based Missing Data Imputation Methods To Improve Crash Frequency Prediction Models For Highway-Rail Grade Crossings, Muhammad Umer Farooq, Aemal Khattak

Mid-America Transportation Center: Final Reports and Technical Briefs

Highway-rail grade crossings (HRGCs) are critical spatial locations of transportation safety because crashes at HRGCs are often catastrophic, potentially causing several injuries and fatalities. Every year in the United States, a significant number of crashes occur at these crossings, prompting local and state organizations to engage in safety analysis and estimate crash frequency prediction models for resource allocation. These models provide valuable insights into safety and risk mitigation strategies for HRGCs. Furthermore, the estimation of these models is based on inventory details of HRGCs, and their quality is crucial for reliable crash predictions. However, many of these models exclude crossings …

Road Work Zone Safety: Investigating Injury Severity In Motor Vehicle Crashes Using Random Effects Multinomial Logit Model, Aemal Khattak, Muhammad Umer Farooq

Mid-America Transportation Center: Final Reports and Technical Briefs

Work zones serve the purpose of facilitating maintenance and rehabilitation activities on roadways. However, these areas can also present unforeseen conditions to drivers, including narrowed right-of-way, lane shifts, and traffic disruptions. These conditions frequently contribute to vehicular crashes within work zones, resulting in property damage, injuries, and even loss of life. This paper aims to highlight work zone related crash data insights and presents statistical estimates of significant determinants of injury severity by analyzing ten-year crash data (2008-2018) from Nebraska, USA. The examination of crash data helped in highlighting work zone attributes that are empirically associated with serious injury crashes …

Exploring Older Adults' Mobility Challenges And Preferences Before And After Covid-19 Pandemic, Bernard Boakye

LSU Master's Theses

Seniors (65 years and above) are most disadvantaged with their mobility due to their declining health and limited travel options, especially after retiring from driving. They have been the most affected age group during the COVID-19 because of their weak immune systems. This study aimed to investigate the transportation mobility preferences and challenges of seniors and their willingness to use Autonomous Vehicles (AVs) before and during COVID-19.

Using a national survey, responses from 1507 senior Americans from the 50 U.S. states were gathered proportionally to reflect the senior population by age, gender, race, and state. A McNemar-Bowker Chi-Square test was …

Integrating The Concept Of Complete Streets Into Pavement Preservation, Sirisha Gangireddy

LSU Master's Theses

This study is motivated by the evident gap in integrating Complete Streets principles into pavement preservation. Complete Streets opportunities, which aim to accommodate all road users, are typically encouraged in all kinds of projects including new construction, reconstruction, preservation, and rehabilitation. While the concept of Complete Streets is understood in terms of new construction (e.g., building sidewalks), its application through pavement preservation programs is not well-developed. To bridge the gap between the Complete Streets and pavement preservation, this study conducted a comprehensive review on how state Department of Transportation (DOTs) are currently incorporating Complete Streets into pavement preservation and identified …

Machine Learning-Based Tool To Predict The Retroreflectivity Of Pavement Markings Throughout The U.S., Ipshit I. Idris

LSU Doctoral Dissertations

Retroreflectivity plays a crucial role in pavement markings as it enhances nighttime visibility for drivers. Yet, due to budget constraints, many U.S state agencies rarely monitor retroreflectivity of their markings, and instead, restripe markings based on visual inspection or fixed schedule. Addressing this, Federal Highway Administration (FHWA) introduced a new final rule, effective September 6, 2022, that established a new minimum standard for pavement marking retroreflectivity. This rule requires state agencies to implement a method within four years for maintaining pavement marking retroreflectivity at or above minimum levels. The ultimate objective of this study was to assist state agencies comply …

Quantifying The Effect Of Covid-19 On Port Congestion, Corey R. Mayeux

LSU Master's Theses

The Covid-19 pandemic caused unprecedented disruptions in global supply chains and port operations, leading to congestion, delays, and container shortages. Governments implemented containment measures, affecting social behavior and economic activity. Ports faced significant challenges due to shifts in demand, labor shortages, and supply chain bottlenecks. E-commerce surge and other disruptions intensified pressures on ports. The pandemic's impact exacerbated challenges for ports and supply chains, and triggered inflationary pressures. This research aims to investigate the impact of Covid-19 on port congestion and the global supply chain at the Port of Long Beach, Port of New York and New Jersey, Port of …

Evaluation Of Novel Jointless Engineered Cementitious Composites Ultrathin Whitetopping (Ecc-Utw), Ricardo Hungria

LSU Doctoral Dissertations

Ultrathin Whitetopping (UTW) is a rehabilitation technique that consists of placing a thin layer of concrete over a damaged asphalt pavement. While UTWs have demonstrated satisfactory performance in field tests, the inherent brittleness of concrete has led to the appearance of distresses. To address these distresses, Engineered Cementitious Composites (ECC) have been proposed for UTW applications, thanks to their exceptional attributes, including tensile ductility, flexural performance, and fatigue resistance. In this study, an ECC-UTW was constructed to investigate its potential as a viable solution. The project comprised two 18.3 m ECC sections with different thicknesses, namely 63.5 mm and 101.6 …

Vulnerable Road User Safety: Data Collection, Analysis, And Countermeasures, Anahita Kakhani

Theses and Dissertations

The safety of pedestrians and bicyclists (vulnerable road users) has become a paramount global concern, especially with a 53% and 31% surge in related crashes over the past decade in the U.S. Despite transportation agencies implementing various safety measures to address this issue, the number of severe injuries among these road users continues to climb annually. This underscores the urgent need for innovative methodologies and technologies to pinpoint the factors compromising their safety. To do so, this study aimed to introduce and employ techniques and countermeasures to gain deeper insight into risks faced by vulnerable road users. This study includes …

Developing A Smart And Sustainable Public Transportation System: A Case Study In Camden, New Jersey, Zahra Vafakhah

Theses and Dissertations

The transportation sector is a major contributor to air pollution and Greenhouse Gas (GHG) emissions. As a significant source of emissions, public transportation presents an opportunity for mitigation through electrification. However, transitioning to an electric bus fleet necessitates substantial investments in bus procurement and charging infrastructure. To address the associated costs, this study introduces a mixed-integer linear mathematical model developed to optimize the location of on-route fast charging stations within bus networks. The central objective of this optimization formulation is to minimize the overall cost of establishing the charging infrastructure. The study employs a real-world case study focusing on a …

Deep Learning Techniques For Efficient Evaluation Of Asphalt Pavement Condition, Kamel Mahdy, Ahmed Zekry, Mohamed Moussa, Ahmed Mohamed, Hassan Mahdy, Mohamed Elhabiby

Mansoura Engineering Journal

For the last few decades, researchers have been devising a simple and cost-effective method to evaluate pavement distresses to give decision-makers adequate feedbacks about the pavement condition of a certain road. Fortunately, with the evolution and progression of computer vision tools and techniques, good results had been achieved regarding the detection, classification, and quantification of road distress. In this paper, a new efficient process of road distress analysis using deep learning models is introduced. This new process was tested on a collected road dataset to evaluate the efficiency and speed of this low-cost road maintenance system. Promising results were obtained …

Understanding Evacuation Traffic Safety Issues During Hurricane Evacuation Using Machine Learning And Connected Vehicle Data, Zaheen E Muktadi Syed

Electronic Theses and Dissertations, 2020-2023

Hurricane evacuation, ordered to save lives of people of coastal regions, generates high traffic demand with increased crash risk. To mitigate such risk, transportation agencies need to anticipate highway locations with high crash risks to deploy appropriate countermeasures. With ubiquitous sensors and communication technologies, it is now possible to retrieve micro-level vehicular data containing individual vehicle trajectory and speed information. Such high-resolution vehicle data, potentially available in real time, can be used to assess prevailing traffic safety conditions. Using vehicle speed and acceleration profiles, potential crash risks can be predicted in real time. Previous studies on real-time crash risk prediction …

Transportation Electrification In Interdependent Power And Transportation Systems - Analysis, Planning, And Operation, Sina Baghali

Electronic Theses and Dissertations, 2020-2023

Electric vehicles (EVs) are one of the eminent alternatives to decarbonize the transportation sector. However, large-scale EV adoption brings new challenges and opportunities to both transportation and power systems (TPSs). The challenges include the lack of understanding of EV driving behaviors and the associated charging demand (CD) distribution, the complex interaction of the decentralized decision-makers from TPSs, and the insufficient infrastructure from TPSs to accommodate the growing CD of EVs. On the other hand, the opportunities include benefiting the power systems by leveraging vehicle-to-grid (V2G) technologies and improving transportation mobility by incorporating strategic infrastructure planning. The goal of this dissertation …

Investigation And Modification Of Single-Post Aluminum Sign Supports For Mash Crashworthiness, Rodrigo Quintero

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Traffic signs are used to display information to drivers and are one of the most commonly encountered roadside structures. Although they are a vital traffic control device, signs can pose a significant safety risk to errant drivers due to their extensive placement and proximity to the roadway. Therefore, traffic signs and their supports must be designed with crashworthiness in mind to reduce the likelihood of injury in the event of a vehicle impact. Prior to 2009, these systems were evaluated using the crash testing criteria found in the National Cooperative Highway Research Program (NCHRP) Report No. 350 [1]. Currently, they …

The Extent Of Drone Education Being Taught In Asc Schools To 4-Year Construction Students, Cheran Teja Dumpati

All Theses

The technology of Unmanned Aircraft Systems (UAS) is growing rapidly in many fields and has become one of the skills in demand in the industry. Universities are one of the primary sources of teaching drone technology with a career-oriented approach. The goal of this study is to investigate the content of the drone curriculum being taught in Associated Schools of Construction (ASC) schools. This includes the topics covered, practical training offered, and the key deliverables taught. This information serves as a foundation for the schools that are looking forward to start drone courses in their department. The research found that …

Generative Neural Network-Based Defense Methods Against Cyberattacks For Connected And Autonomous Vehicles, M Sabbir Salek

All Dissertations

The rapid advancement of communication and artificial intelligence technologies is propelling the development of connected and autonomous vehicles (CAVs), revolutionizing the transportation landscape. However, increased connectivity and automation also present heightened potential for cyber threats. Recently, the emergence of generative neural networks (NNs) has unveiled a myriad of opportunities for complementing CAV applications, including generative NN-based cybersecurity measures to protect the CAVs in a transportation cyber-physical system (TCPS) from known and unknown cyberattacks. The goal of this dissertation is to explore the utility of the generative NNs for devising cyberattack detection and mitigation strategies for CAVs. To this end, the …

Educating Older Drivers To Improve Acceptance And Utilization Of Cav Technologies, Ping Yi, Claudia Marovic, Renee Whittenberger

University Research

As the population of older drivers continues to grow, there is an increasing need to enhance their awareness and understanding of Connected and Automated Vehicles (CAVs). This study utilized an education program aimed at improving the knowledge and awareness of older drivers about CAVs, thereby preparing them to utilize the safety features of these technologies while effectively meeting the challenges that come with them. Through data collection and analysis from study participants, the research provides valuable insights for transportation agencies and technology developers to design and develop more adaptive technologies and associated education for older drivers. The findings from this …

System-Of-Systems Integration For Civil Infrastructures Resiliency Toward Multihazard Events, Vahid Balali

Mineta Transportation Institute

Civil infrastructure systems—facilities that supply principal services, such as electricity, water, transportation, etc., to a community—are the backbone of modern society. These systems are frequently subject to multi-hazard events, such as earthquakes. The poor resiliency of these infrastructures results in many human casualties and significant economic losses every year. An outline of a holistic view that considers how different civil infrastructure systems operate independently and how they interact and communicate with each other is required to have a resilient infrastructure system. More specifically a systems engineering approach is required to enable infrastructure to remain resilient in the case of extreme …

Evaluating The Permeability Of Porous Aggregate Concrete Using Electrical Resistivity-Based Measurements, Ariel Miguel Mendez Aragoncillo

Theses and Dissertations

Recycled concrete aggregates (RCA) and lightweight aggregates (LWA) are popular alternative aggregates for concrete. However, due to their highly porous structure, concrete with RCA and LWA shows a different microstructure and higher permeability than conventional concrete. Thus, the existing relationships used to evaluate the permeability and, consequently, the durability of concrete are not applicable in concretes with RCA and LWA. This research examined the permeation properties of recycled aggregate concrete (RAC) and lightweight aggregate concrete (LWAC). The relationships between electrical resistivity-based measurements in RAC and LWAC and their permeation properties were determined and compared to that of normal weight aggregate …

Application Of Artificial Neural Network (Ann) In Development Of Prediction Models For Pavement Performance And Material Properties, Prashanta Kumar Acharjee

Civil Engineering Theses

This dissertation presents the development and application of Artificial Neural Network (ANN)- based prediction models for Dynamic Modulus (E*), Dynamic Shear Modulus (|Gb*|, Phase Angle (b), Soil-Water Characteristics Curve (SWCC) parameters, and International Roughness Index (IRI). The IRI prediction model considering climatic and traffic conditions of Texas with data from the Long-Term Pavement Performance (LTPP) database with R 2 = 0.92 can be utilized by Local transportation agencies. An E* prediction model with three neurons, using 7400 data points obtained from 346 mixtures with R2=0.82 can bypass the need for laboratory tests. ANN-based |Gb*| and b prediction models were also …

Effectiveness Of Integrated Traffic Management Of Military Police And Traffic Police In Reducing Drive Speed N Arterial Roads: An Experimental Study, Teguh Patriot

CSID Journal of Infrastructure Development

The Indonesian National Police Traffic Corps (KORLANTAS POLRI) and the Army Staff and Command School (SESKOAD) conducted a joint study in early March 2023 to reduce the number of traffic accident victims by implementing traffic regulations by the Military Police and Traffic Police. One of the methods used by KORLANTAS POLRI is the installation of ETLE speed cameras on Jakarta toll roads, such as Cikampek, Jagorawi, Bitung, and others. At the end of 2022, 75 additional speed cameras had been installed on arterial roads in Jakarta.

The purpose of this study is to analyze the effectiveness …

Columbus, Nebraska: Southern Housing Development Design Proposal, Ryan Weyers, Caiden Dynek, Alex Papa, Brexton Robertson, Kaden Perala

Honors Program: Senior Projects (Public)

The following paper proposes the design and creation of a new housing development in the city of Columbus, Nebraska in a lot to the south of the city and directly north of the Columbus wastewater treatment plant. The goal of this proposal is to provide readers with confidence that our company is the most qualified to complete the project and will create the safest, most comfortable, most efficient, and most cost-effective final design. This proposal seeks to offer a solution to the lack of affordable housing for the growing workforce in Columbus. In order to arrive at this solution, each …

Equity In Transportation: Data Driven Analysis Of Transportation Services And Infrastructures, Javad Jomehpour Chahar Aman

Civil and Environmental Engineering Theses and Dissertations

Achieving equity in transportation is an ongoing challenge, as transportation options still vary tremendously when it comes to marginalized populations. This dissertation addresses this challenge by conducting a comprehensive review of existing transportation equity literature and identifying two critical gaps: the lack of data-driven approaches to studying spatial mismatch between transportation supply and demand, and limited information on women's perceptions and expectations towards emerging transportation services.

Chapter two introduces the concept of transportation "deserts," specifically transit deserts and walking deserts, and develops data-driven frameworks to identify and investigate neighborhoods with limited transportation service supply but high demand. The frameworks compare …

Optimization Of The Self-Healing Efficiency Of Bacterial Concrete Using Impregnation Of Three Different Precursors Into Lightweight Aggregate, Omar Omar

LSU Master's Theses

Concrete is the most broadly used construction material; thus, developing sustainable concrete is essential to decrease greenhouse gas (GHG) emissions from concrete production. Implementation of self-healing concrete technologies is a promising approach to enhance the durability and sustainability of the transportation infrastructure. Among these technologies, bacterial concrete has the potential to seal microcracks through microbial induced calcite precipitation (MICP). Bacterial protection is essential to ensure the viability of this technology due to concrete’s harsh environment. Additionally, the success of this technology depends on the presence of an adequate mineral precursor compound and nutrient for the bacteria. As such, the main …

Safety And Operational Assessment Of Rural Free Right-Turn Ramp Intersections, Jonathon Camenzind

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Free right-turn (FRT) ramps are alternative right-turn lane designs for intersecting highways. As of 2023, 79 FRT ramps exist at 68 rural highway intersections in Nebraska. FRT ramps may be located on three-legged or four-legged intersections and may be on the minor, the major, or both minor and major approaches of the same intersection.

This research compared the 68 rural FRT intersections to 24 similar non-FRT rural intersections to identify differences in crash frequency and crash rate and tested for statistical significance using a two-sample t-test. Crash data were obtained for the ten- year period of 2010-2019, with a focus …

Impacts Of Diagonal Crosswalk Misuse, Elizabeth Francis

Civil Engineering Undergraduate Honors Theses

A diagonal crosswalk paired with an all-red phase traffic signal is an effective approach to manage intersections with high pedestrian volume. This allows pedestrians to cross both north-south and east-west bound roads at the same time. However, ineffective diagonal crosswalk marking, and lack of signs reduces the use of diagonal crosswalks which in turn results in jaywalking, often in unsafe capacities. The objective of this study is to determine the impacts of pedestrian-caused delay and safety impacts due to the misuse of a diagonal crosswalk. To better understand the impacts, a camera-based data collection was conducted during a four-hour period …

Investigating The Severity And Rate Of Occurrence Of Motorcycle Crashes Across Different Land Uses In Georgia, Robert Edwards

Symposium of Student Scholars

In 2020, motorcycle crashes reached their highest number of fatalities nationally since 1975, when 5,579 motorcyclists were killed. Georgia, in recent years, has seen an increase in the number of fatal multi-vehicle crashes involving motorcycles. This would be indicative of the general trend and nothing more if the number of motorcycle crashes reported outside of urban populations did not increase—despite lockdown measures—by 1.7% in 2020. In this investigation, employing a thorough examination of the Georgia Department of Transportation’s Crash Data (GDOT) compiled from the last ten years and the Fatality Analysis Reporting System (FARS) compiled from the last five years, …

Behavior Analysis Of Cement Concrete With Combination Of Waste Rubber And Glass, Abdulaziz Alebra

Symposium of Student Scholars

Glass and Rubber waste materials are valuable materials to use rather than throw which we have more than enough to use and recycle. Recycled glass and rubber materials can reduce and help major climate issues in our times based on the statistics reducing glass can bring down air pollution by 20% and also reduce water pollution by 50% as well as can reduce the use of landfill space. A laboratory study will be launched, and tests will be conducted following the ASTM standards, ASTM C143 for a concrete slump, and ASTM C31 for making and curing concrete specimens. Samples of …