Design Of A Freight Transportation Outreach Curriculum,
2022
University of Arkansas, Fayetteville
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.,
2022
University of Arkansas, Fayetteville
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). …
Comparing The Stiffness Of Cold In-Place Recycled Asphalt Pavement To Hot Mix Asphalt: Determining The Reproducibility Of The Stiffness Rebound Test,
2022
University of Arkansas, Fayetteville
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,
2022
University of Arkansas, Fayetteville
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 …
Data Linkage For Crash-Injury Outcome Assessment.,
2022
University of Louisville
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 …
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 …
Linking Bad Credentials To Safety Issues,
2022
University of Kentucky
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, …
Investigating The Resilience Of Accessibility To Emergency And Lifesaving Facilities Under Natural Hazards,
2022
California State University, Fresno
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 …
Utilizing Shockwave Theory And Deep Learning To Estimate Intersection Traffic Flow And Queue Length Based On Connected Vehicle Data.,
2022
University of Louisville
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-Driven Framework For Understanding & Modeling Ride-Sourcing Transportation Systems,
2022
Old Dominion University
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 …
A Case Study Of Protecting Bridges Against Overheight Vehicles,
2022
Louisiana State University at Baton Rouge
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,
2022
Portland State University
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,
2022
Nanyang Technological University, Singapore
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,
2022
Louisiana State University
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 …
Development And Testing Of Braking And Acceleration Features For Vehicle Advanced Driver Assistance System,
2022
Ateneo de Manila University
Development And Testing Of Braking And Acceleration Features For Vehicle Advanced Driver Assistance System, Johann Carlo Marasigan, Gian Paolo Mayuga, Elmer R. Magsino
Electronics, Computer, and Communications Engineering Faculty Publications
Traffic congestion is a constant problem for cities worldwide. The human driving inefficiency and poor urban planning and development contribute to traffic buildup and travel discomfort. An example of human inefficiency is the phantom traffic jam, which is caused by unnecessary braking, causing traffic to slow down, and eventually coming to a stop. In this study, a brake and acceleration feature (BAF) for the advanced driver assistance system (ADAS) is proposed to mitigate the effects of the phantom traffic phenomenon. In its initial stage, the BAF provides a heads-up display that gives information on how much braking and acceleration input …
Evaluation Of Manual Infrared Brake Screening Technologies,
2022
University of Kentucky
Evaluation Of Manual Infrared Brake Screening Technologies, Joseph Crabtree, Brian Beaven, Jennifer Walton
Kentucky Transportation Center Research Report
The purpose of this project was to install and operate two manual infrared (IR) brake screening systems at Kentucky inspection facilities to enhance the quality of Level 1 safety inspections. A radio button in the inspection software allowed enforcement personnel to indicate when the IR equipment was used to select a truck for inspection. This feature allowed a direct comparison of performance measures (e.g., number of violations identified per inspection, out-of-service rate, etc.) for IR-generated inspections versus all inspections.
The evaluation focused on inspections at the Lyon County site for a 60-day period during September and October 2021. Analysis of …
Effects Of Emergency Vehicle Warning Lighting System Characteristics On Driver Perception And Behavior,
2022
Embry-Riddle Aeronautical University
Effects Of Emergency Vehicle Warning Lighting System Characteristics On Driver Perception And Behavior, Emily Hiebner
Doctoral Dissertations and Master's Theses
Secondary crashes, including struck-by incidents are a leading cause of line-of-duty deaths among emergency responders, such as firefighters, law enforcement officers, and emergency medical service providers. The introduction of light emitting diode (LED) sources and advanced lighting control systems, provides a wide range of options for emergency lighting configurations. This study investigated the impact of lighting color, intensity, modulation, and flash rate on driver behavior while traversing a traffic incident scene at night. The impact of retroreflective chevron markings in combination with lighting configurations, as well as the measurement of “moth-to-flame” effects of emergency lighting on drivers was also investigated. …
Using Rwis Data For Winter Maintenance Decision Support,
2022
US Dspartment of Transportation
Using Rwis Data For Winter Maintenance Decision Support, Tony Coventry
Purdue Road School
Road weather information systems (RWIS) data is the key component to winter maintenance decision support systems (MDSS) and solutions. In this session we will learn about the FHWA’s Weather Data Environment (WxDE), a national road weather data sharing program; how the data is integrated into decision support solutions, network monitoring, and research projects. Discussion will also include strategic application of road weather data in winter maintenance decision making.
Streamlining Project Development Through Planning & Environmental Linkages,
2022
CDM Smith
Streamlining Project Development Through Planning & Environmental Linkages, Karen Hadley, Brett Lackey
Purdue Road School
As transportation agencies continue to explore ways to be more efficient in the project development process, they are embracing integrated methodologies like planning and environmental linkages. This tool is practical, yet highly effective and inclusive, and teams across the country are experiencing its value. This presentation will highlight a variety of use cases, discuss lessons learned and best practices, and specifically address how planning and environmental linkages can be applied in Indiana and the Midwest.
Importance Of Proactive Safety Analysis For Corridor Planning,
2022
CDM Smith
Importance Of Proactive Safety Analysis For Corridor Planning, Martin Guttenplan, Houssam Ghandour
Purdue Road School
A proactive safety analysis approach assists decision makers in addressing high-risk crash elements, particularly on low-volume roadways. Using corridor planning best practices and lessons learned, this presentation will explore creative and proactive approaches for holistic planning solutions. It will also validate 2020 pandemic crash data accuracy and highlight prioritization methodologies and AASHTO and FHWA guided countermeasures applied to at-risk locations.
