Engineering Commons^™

A Self-Learning Intersection Control System For Connected And Automated Vehicles, Ardeshir Mirbakhsh

Dissertations

This study proposes a Decentralized Sparse Coordination Learning System (DSCLS) based on Deep Reinforcement Learning (DRL) to control intersections under the Connected and Automated Vehicles (CAVs) environment. In this approach, roadway sections are divided into small areas; vehicles try to reserve their desired area ahead of time, based on having a common desired area with other CAVs; the vehicles would be in an independent or coordinated state. Individual CAVs are set accountable for decision-making at each step in both coordinated and independent states. In the training process, CAVs learn to minimize the overall delay at the intersection. Due to the …

Northern Sea Route As An Emerging Option For Global Transport Networks: A Policy Perspective, Stavros Karamperidis, Nikolaos Valantasis Kanellos

Articles

The Northern Sea Route (NSR) is an emerging alternative route to the Suez Canal; however, inconclusive research exists on its benefits and viability. This paper uses a two-stage Delphi approach to collect qualitative data from experts, on what actions Nordic countries[1] can undertake to prepare themselves to enter NSR and capture potential benefits deriving from trading in global transport networks. By conceptually developing a framework based on First Movers Advantage (FMA) and Dynamic Capabilities Theory (DCT), this paper empirically identifies a path to develop capabilities that could allow stakeholders to reduce logistics costs through collaborations in NSR. Our paper …

An Injury Severity Prediction-Driven Accident Prevention System, Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho

College of Science & Mathematics Departmental Research

Traffic accidents are inevitable events that occur unexpectedly and unintentionally. Therefore, analyzing traffic data is essential to prevent fatal accidents. Traffic data analysis provided insights into significant factors and driver behavioral patterns causing accidents. Combining these patterns and the prediction model into an accident prevention system can assist in reducing and preventing traffic accidents. This study applied various machine learning models, including neural network, ordinal regression, decision tree, support vector machines, and logistic regression to have a robust prediction model in injury severity. The trained model provides timely and accurate predictions on accident occurrence and injury severity using real-world traffic …

Our Streets: Increasing Equity In Active Transportation Planning Through Community Outreach, Jordan Hoy

Master's Projects and Capstones

ABSTRACT Significant research has demonstrated that active transportation infrastructure is essential for the growth and livability of San Francisco: it increases access to economic opportunities, promotes overall improved public health, encourages mobility without contributing to roadway congestion, prevents traffic injuries and fatalities, and supports the sustainability goals of the city. Despite the fact that communities of color will benefit the most from active transportation infrastructure development, historical disenfranchisement in tandem with a lack of diverse representation within public participation contributes to an inequitable distribution of walking and biking investments throughout the city of San Francisco. While research shows that Black …

Intelligent Work Zone Using Automatic Queue Detection Systems, Li Zhao, Laurence Rilett, Ernest Tufuor

Nebraska Department of Transportation: Research Reports

This report documents the the evaluation of the effectiveness of the Advanced Queue Detection (AQD) systems installed on Interstate work zones in Nebraska. Specifically, (1) the system performance was verified by examining whether the messages displayed on the portable dynamic message signs (PDMS) were consistent with the underlying AQD logic; (2) the system efficacy was measured by determining whether driver speeds were reduced when warning messages were provided on the PDMS; and (3) the system safety impact was modeled using statistical models. It was found that overall, the AQD systems had an error rate of 0.7% – 2.3%. Drivers reduced …

Urban Air Mobility: Envisioning Uam As An Integrated Form Of Future Transport - A Las Vegas Case Study, Osarodion Victory Igbinobaro

Hospitality Design Graduate Student Capstones

Rapid urbanization has resulted in more people moving to cities to live and work. By 2030, an estimated 5 billion people will live in urban areas representing about 60% of the world's population. This increase in population growth brings forth new mobility challenges and opportunities for city planners, importantly, the challenge of transporting people and goods to their destinations in the most efficient, safe, quick and sustainable manner.

Traffic congestion, greenhouse gas emissions from vehicles, the cost of maintaining existing and building new transportation infrastructure are among several reasons why many cities seek sustainable alternatives to compliment their existing transport …

Modeling Framework And Solution Methodologies For On-Demand Mobility Services With Ridesharing And Transfer Options, Sepide Lotfi

Civil and Environmental Engineering Theses and Dissertations

The growing complexity of the urban travel pattern and its related traffic congestion, along with the extensive usage of mobile phones, invigorated On-Demand Mobility Services (ODMS) and opened the door to the emergence of Transportation Network Companies (TNC). By adopting the shared economy paradigm, TNCs enable private car owners to provide transportation services to passengers by providing user-friendly mobile phone applications that efficiently match passengers to service providers. Considering the high level of flexibility, convenience, and reliability of ODMS, compared to those offered by traditional public transportation systems, many metropolitan areas in the United States and abroad have reported rapid …

Design Of A Freight Transportation Outreach Curriculum, Breanna Stoesz

Civil Engineering Undergraduate Honors Theses

This project is centered around finding a solution to the shortage of truck drivers within the freight industry. Specifically, this project aims to lessen this shortage by ensuring potential future drivers are aware of the benefits of the industry and are encouraged to consider this career path for themselves. By producing an engaging and educational freight transportation curriculum for middle and high school students to go through in outreach programs, these students would have an increased likelihood of joining the trucking profession and encourage others to become informed about the profession as well. In addition to the direct driving role, …

Determining Earthquake Impacts On Arkansas' Roadway Network: An Application Of Hazus., Simon Rothwell

Civil Engineering Undergraduate Honors Theses

Natural hazards are a dangerous and unpredictable aspect of life on earth. They can cause devastating damage to our surroundings that makes movement of people, goods, and emergency services difficult. There is a need to plan for these disasters to ensure that damages to our infrastructure and people are minimized. It can be difficult for planners to determine which parts of a roadway network are most vulnerable to a specific disaster and what their impact on the rest of the network may be. This thesis uses a nationally available natural disaster estimation tool developed by FEMA called “Hazus” (FEMA, 2020). …

Refining Particle Size Specification For Asphalt Emulsion, Pedro Luis Diaz Romero

Graduate Theses and Dissertations

Pavements begin to deteriorate as soon as they are constructed, and traffic is released. The rate at which a pavement deteriorates depends on the material quality, the environment, and the loads carried. To properly preserve pavements and extend their life, various pavement preservation treatments are used. For flexible pavements, a considerable number of these treatments use asphalt emulsion (which are refer to simply emulsions from here on). Emulsions are classified based on their particle charge and reactivity. Emulsions used in chip seals are usually of rapid set reactivity and are classified based on tests over fifty years old.

It has …

Analyzing Vulnerabilities In The Northwest Arkansas Highway Network Using Mathematical Optimization, Brandon Jerome

Industrial Engineering Undergraduate Honors Theses

The highway and bridge network is a critical infrastructure that allows for the free transportation of citizens and enables truck-borne freight transportation. Disruption of this system could be caused by a terrorist attack, natural disaster, growth of population, required repairs and upgrades, or collapse caused by old age or malfunction. In the event of a disruption cities and regions can experience increased traffic and supply chain shortages, thus causing cascading effects throughout surrounding areas. With this motivation, we develop a network interdiction optimization model to identify a limited subset of roads that, if disrupted, causes the greatest increase in the …

Design And Analysis Of Efficient Freight Transportation Networks In A Collaborative Logistics Environment, Vishal Badyal

All Dissertations

The increase in total freight volumes, reducing volume per freight unit, and delivery deadlines have increased the burden on freight transportation systems of today. With the evolution of freight demand trends, there also needs to be an evolution in the freight distribution processes. Today's freight transportation processes have a lot of inefficiencies that could be streamlined, thus preventing concerns like increased operational costs, road congestion, and environmental degradation. Collaborative logistics is one of the approaches where supply chain partners collaborate horizontally or/and vertically to create a centralized network that is more efficient and serves towards a common goal or objective. …

Data-Driven Framework For Understanding & Modeling Ride-Sourcing Transportation Systems, Bishoy Kelleny

Civil & Environmental Engineering Theses & Dissertations

Ride-sourcing transportation services offered by transportation network companies (TNCs) like Uber and Lyft are disrupting the transportation landscape. The growing demand on these services, along with their potential short and long-term impacts on the environment, society, and infrastructure emphasize the need to further understand the ride-sourcing system. There were no sufficient data to fully understand the system and integrate it within regional multimodal transportation frameworks. This can be attributed to commercial and competition reasons, given the technology-enabled and innovative nature of the system. Recently, in 2019, the City of Chicago the released an extensive and complete ride-sourcing trip-level data for …

Linking Bad Credentials To Safety Issues, Andrew Martin, Jeeyen Koo, Valerie Keathley-Helil, Mallory Brown, Jennifer Walton

Kentucky Transportation Center Research Report

This study assesses (1) the effectiveness of the Kentucky Automated Truck Screening (KATS) system, (2) the relationship between credential and vehicle safety violations, (3) the relationship between credential and driver safety violations, and (4) the relationship between credential violations and crashes. The KATS system, which is installed at weigh stations throughout the Commonwealth of Kentucky, is highly effective at detecting KYU, IFTA, and UCR violations with sensitivities of 80.54, 87.56, and 88.28 percent, respectively. However, the system is less effective at detecting IRP violations (sensitivity = 20.83 percent). There is a statistically significant relationship between credentialing and vehicle safety violations, …

Comparing The Stiffness Of Cold In-Place Recycled Asphalt Pavement To Hot Mix Asphalt: Determining The Reproducibility Of The Stiffness Rebound Test, Tanner Turben

Civil Engineering Undergraduate Honors Theses

The Stiffness Raveling Mechanism Test (SRMT) was originally developed as an indirect measure of pavement stiffness to determine a pavement’s tendency to ravel, a type of damage. Regarding rehabilitation of existing roadways by Full Depth Reclamation (FDR) Cold In-Place Recycling (CIR), concern of field repeatability was expressed (Hill & Braham, 2016).

An analysis of lab-compacted samples of CIR and Hot Mix Asphalt (HMA) was performed to determine if the results could be reproduced between CIR and HMA. Additionally, the experiment observed the effects of percent air voids, temperature, and moisture conditioning on CIR and HMA. Three samples were prepared for …

Community Transportation Needs And Willingness To Use Shared Micromobility: A Case Study Of Fort Smith, Arkansas, Anthony Michael Kammerer

Civil Engineering Undergraduate Honors Theses

Shared micromobility is utilized in “targeted service areas with the usage generally intended for short trips such as "first- and last-mile" connections to complete trips made via other modes, including transit” (Price et al., 2021). In the United States, this practice has especially taken off with the implementation of sharing-based systems. This is evidenced by ridership numbers in the United States growing from 84 million riders nationwide in 2018 to 136 million riders in 2019 (NACTO, 2020). Users often use their smart phone or another similar device to unlock the vehicle after paying a fee on the device through their …

An Investigation Of Water Obstructions And Related Weather Conditions For Nebraska Roadways, Mark R. Anderson, Logan R. Bundy

Nebraska Department of Transportation: Research Reports

Roadway resilience across the 10,000 miles of road and 3,500 bridges in Nebraska is critical to the economic success of productionand logistics. In a state where historical flooding scenarios, such as the one in March 2019 that caused $150 million in damage,could potentially be increasing, it has become essential to understand the spatial and temporal distribution of high-frequency waterobstruction areas on roadways. Therefore, in order to further investigate these areas, the main objectives of this research were toperform statistical and spatial analyses to quantify the relationship between water obstructions and their associated meteorologicalconditions, and identify the potential linkages between water …

Estimating System And Traveler Costs Due To Lane Closures During Construction And Maintenance Operations, Ernest Tufuor, Li Zhao, Mm Haque, Laurence Rilett Ph.D., John Anderson, Eric Thompson

Nebraska Department of Transportation: Research Reports

Lane closures are used to facilitate activities related to road construction and maintenance or operations. However, there are economic costs associated with lane closures and these may accrue to both the traveling public as well as to traffic agencies. The Nebraska Governor’s office has identified maximizing the effectiveness of lane closures as a priority for the Nebraska Department of Transportation (NDOT). The goal of this project is to assist NDOT in effectively managing the operations of work zones to maximize the effectiveness of lane closures under Nebraska conditions. This report summarizes the findings of the current state of the practice …

Estimating System And Traveler Costs Due To Lane Closures During Construction And Maintenance Operations, Ernest Tufuor, Lianlin Zhao, Mm Shakiul Haque, Laurence Rilett, John Anderson, Eric Thompson

Nebraska Department of Transportation: Research Reports

Lane closures are used to facilitate activities related to road construction and maintenance or operations. However, there are economic costs associated with lane closures and these may accrue to both the traveling public as well as to traffic agencies. The Nebraska Governor’s office has identified maximizing the effectiveness of lane closures as a priority for the Nebraska Department of Transportation (NDOT). The goal of this project is to assist NDOT in effectively managing the operations of work zones to maximize the effectiveness of lane closures under Nebraska conditions. This report summarizes the findings of the current state of the practice …

Using Safety Performance Models, Autonomous Vehicle Data, And Machine Learning To Develop Contextual Complexity Criteria To Establish A Standardized Process For On-Road Evaluation Of Medically At-Risk Drivers Considering Static And Dynamic Factors Of The Roadway Environment, Vijay Bendigeri

All Dissertations

The field of transportation engineering has an opportunity to positively impact the medical community, specifically the clinicians who evaluate, train, and rehabilitate at-risk drivers. Driving Rehabilitation Specialists (DRSs) have an essential role in making roads safer for medically-at-risk drivers, their passengers, and other road users. DRSs conduct on-road driving evaluations, which are considered the gold standard to make fitness-to-drive decisions due to their high face validity. Most DRSs use a fixed route, meaning the exact same route is used to evaluate each client. When a DRS develops a fixed route, that clinician identifies characteristics of the roadway they think are …

Utilizing Shockwave Theory And Deep Learning To Estimate Intersection Traffic Flow And Queue Length Based On Connected Vehicle Data., Abdulmaged Algomaiah

Electronic Theses and Dissertations

The development of Connected Vehicles (CV) facilitates the use of trajectory data to estimate queue length and traffic volume at signalized intersections. The previously proposed models involved additional information that may require conducting different types of data collection. Also, most models need higher market penetration rate or more than a vehicle per cycle to provide adequate estimation. This is mainly because a significant number of the estimation models utilized only queued vehicles. However, the state of motion in non-queued vehicles, particularly slowed-down vehicles, provides much information about the traffic characteristics. There is a lack of exploiting the information from slowed-down …

Data Linkage For Crash-Injury Outcome Assessment., Aryan Hosseinzadeh

Electronic Theses and Dissertations

Introduction: Traffic crash reports lack detailed information about emergency medical service (EMS) responses, the injuries, and the associated treatments, limiting the ability of safety analysts to account for that information. Integrating data from other sources can enable a better understanding of the characteristics of serious crashes and further explain variance in injury outcomes. In this thesis, first, a heuristic approach is proposed and implemented to link crash data to EMS run data, patient care reports, and trauma registry data. Next, the method was adapted through larger datasets in a statewide linkage effort. The performance of the heuristic method was compared …

Assessment Of Parameters For A Safe And Equitable Roadway Network For Pedestrians Of South Carolina, Sababa Islam

All Dissertations

In 2019, South Carolina ranked fourth in the nation in pedestrian fatalities per 100,000 population. There has been a 68% increase in total pedestrian crashes in SC from 2011 to 2018. Walking might be a choice for some individuals; however, it is mandatory for some users due to the unavailability of personal automobiles or physical disability. Thus, pedestrian crashes and resulting deaths and injuries can disproportionately affect these population segments. Nationwide pedestrian crash statistics reveal American Indian or Alaskan Native and African American populations are overburdened with pedestrian crashes. This research aims to help mitigate this overburden of pedestrian crashes …

Digitalization Of Construction Project Requirements Using Natural Language Processing (Nlp) Techniques, Fahad Ul Hassan

All Dissertations

Contract documents are a critical legal component of a construction project that specify all wishes and expectations of the owner toward the design, construction, and handover of a project. A single contract package, especially of a design-build (DB) project, comprises hundreds of documents including thousands of requirements. Precise comprehension and management of the requirements are critical to ensure that all important explicit and implicit requirements of the project scope are captured, managed, and completed. Since requirements are mainly written in a natural human language, the current manual methods impose a significant burden on practitioners to process and restructure them into …

Protecting Our Community From The Hidden Vulnerabilities Of Today’S Intelligent Transportation Systems, Shahab Tayeb

Mineta Transportation Institute

The ever-evolving technology interwoven into the transportation industry leaves it frequently at risk for cyber-attacks. This study analyzes the security of a common in-vehicle network, the Controller Area Network (CAN), standard in most vehicles being manufactured today. Like many other networks, CAN comes with inherent vulnerabilities that leave CAN implementations at risk of being targeted by cybercriminals. Such vulnerabilities range from eavesdropping, where the attacker can read the raw data traversing the vehicle, to spoofing, where the attacker can place fabricated traffic on the network. The research team initially performed a simulation of CAN traffic generation followed by hardware implementation …

Investigating The Resilience Of Accessibility To Emergency And Lifesaving Facilities Under Natural Hazards, Chih-Hao Wang, Na Chen

Mineta Transportation Institute

Studying accessibility, including the resilience of city transportation networks, is critical to understand how these networks influence individuals’ mobility and lives. This study developed an analytical research framework to examine the resilience of accessibility to emergency and lifesaving facilities under the threats of natural hazards such as earthquakes and wildfires. With a cumulative-opportunity approach, the authors measured accessibility by counting emergency and lifesaving facilities (including parks, schools, hospitals, roads, and fire stations) that can be reached by driving at the census tract level in San Fernando Valley, CA. With the calculated accessibility, the authors run simulations to collect data showing …

A Case Study Of Protecting Bridges Against Overheight Vehicles, Aly Mousaad Aly, Marc Hoffmann

Faculty Publications

Most transportation departments have recognized and developed procedures to address the ever-increasing weights of trucks traveling on bridges in service today. Transportation agencies also recognize the issues with overheight vehicles’ collisions with bridges, but few stakeholders have definitive countermeasures. Bridges are becoming more vulnerable to collisions from overheight vehicles. The exact response under lateral impact force is difficult to predict. In this paper, nonlinear impact analysis shows that the degree of deformation recorded through the modeling of the unprotected vehicle-girder model provides realistic results compared to the observation from the US-61 bridge overheight vehicle impact. The predicted displacements are 0.229 …

Robust Multi-Period Maximum Coverage Drone Facility Location Problem Considering Coverage Reliability, Darshan Rajesh Chauhan, Avinash Unnikrishnan, Miguel A. Figliozzi, Stephen D. Boyles

Civil and Environmental Engineering Faculty Publications and Presentations

This study proposes a multi-period facility location formulation to maximize coverage while meeting a coverage reliability constraint. The coverage reliability constraint is a chance constraint limiting the probability of failure to maintain the desired service standard, commonly followed by emergency medical services and fire departments. Further, uncertainties in the failure probabilities are incorporated by utilizing robust optimization using polyhedral uncertainty sets, which results in a compact mixed-integer linear program. A case study in the Portland, OR metropolitan area is analyzed for employing unmanned aerial vehicles (UAVs) or drones to deliver defibrillators in the region to combat out-of-hospital cardiac arrests. In …

Fight For Flight: The Narratives Of Human Versus Machine Following Two Aviation Tragedies, Andrew Prahl, Rio Kin Ho Leung, Alicia Ning Shan Chua

Human-Machine Communication

This study provides insight into the relationship between human and machine in the professional aviation community following the 737 MAX accidents. Content analysis was conducted on a discussion forum for professional pilots to identify the major topics emerging in discussion of the accidents. A subsequent narrative analysis reveals dominant arguments of human versus machine as zero-sum, surrender to machines, and an epidemic of mistrust. Results are discussed in the context of current issues in human-machine communication, and we discuss what other quickly automating industries can learn from aviation’s experience.

A New Generation Of Open-Graded Friction Course For Enhanced Durability And Functionality, Hossam Abohamer

LSU Doctoral Dissertations

This study aims at (1) enhancing Open Graded Friction Course (OGFC) mixes durability using additives and other by-products; (2) investigating the impacts of selected factors on OGFC pavements seepage characteristics; (3) developing a quantitative tool to model the deterioration in OGFC pavements functional performance; and (4) developing new guidelines of Air Void (AV) content for OGFC for optimum functionality and durability. For the durability objective, eight mixes were prepared with a PG 76-22 binder and two sources of aggregate (i.e., # 78 limestone and # 67 sandstone). Three Warm Mix Additives (WMA), one by-product (i.e., crumb rubber [CR]), and two …