Transportation Engineering Commons^™

Urban Freight Transportation: The Interaction Of Home Deliveries In Cities, Carla A. Tejada

Dissertations and Theses

The movement of freight in urban areas is a key factor in the sustainable development of cities. If managed correctly, it can potentiate economic growth and support urban lifestyles. Nevertheless, the movement of goods in cities is usually in conflict with other urban flows and is generally perceived as having more negative externalities, above all for environmental and social sustainability. While the first focuses on measuring the impact on the environment, the latter focuses on measuring the impacts of business decisions on people. The main goal of this dissertation is to study the relationship that urban goods movements, mainly residential …

Multiscale Evaluation Of The Effect Of Deicing Agents And Environmental Conditions On The Performance Of Asphalt Pavements In Cold Regions, Maryam Mihandoust

Electronic Theses and Dissertations

No abstract provided.

An Analysis Of The Effect Of Temperature On Asphalt Paving In South Dakota, S M Rahat Rashedi

Electronic Theses and Dissertations

Temperature is an important parameter to consider for asphalt paving since this work is generally susceptible to weather due to outdoor construction. The South Dakota Department of Transportation (SDDOT) developed working day weather charts in 1998 to address the expected adverse weather days. This thesis investigated the effect of temperature on adverse weather days for asphalt paving and compared them to the value reported in the 1998 SDDOT study. Moreover, the thesis also examined how closely the maximum temperature data from project sites' weekly progress reports (WPR) matched the data from the closest weather stations. When the maximum temperature (TMAX) …

Predictions Of The Dynamic Complex Modulus Of Non-Conventional Asphalt Concrete Using Machine Learning Techniques, Annie Benson

College of Graduate Studies: Theses & Dissertations

The complex dynamic modulus (|E*|) is a characterization property that defines the stiffness of an asphalt mixture. The dynamic modulus can be found through lab testing or predictions. Since lab testing can be time-consuming and expensive, the prediction method can be used as an alternative method. While a statistical method has been traditionally used for the |E*| prediction such as the Witczak’s predictive equations, machine learning (ML) is recently emerging as an alternative way that |E*| predictions can be made. This research attempted to predict the |E*| using several ML techniques including linear regression, support vector machines (SVM), decision trees, …

Implementation Of Ground Penetrating Radar (Gpr) And Complementary Non-Destructive Testing On Concrete Structures, Macy Spears

College of Graduate Studies: Theses & Dissertations

This study analyzes the application and practicality of different non-destructive testing (NDT) methods for the inspection of reinforced concrete. There are two studies discussed in this paper. The first one is a laboratory investigation, utilizing ground penetrating radar (GPR) on concrete slabs that consisted of simulated defects to mimic those found in real concrete structures. This served as a preliminary experiment to verify the GPR data with the design of the slabs. The following study describes a field investigation on an old bridge deck, which involved multiple testing methods. The techniques used were GPR, impact echo (IE), ultrasonic pulse echo …

Evaluation Of Nanoclay Additives For Improving Resistance To Moisture Damage In Hot Mix Asphalt (Hma), Amro El Badawy, Ashraf Rahim

Mineta Transportation Institute

Transportation has an enormous impact on the U.S. economy and on the lives of all Americans. Many modes of transportation rely on pavement, but pavement conditions deteriorate over time because of the combined effects of traffic and climate. Exposure to moisture often causes premature failure of asphalt pavements as it reduces the stiffness of the asphalt and enables stripping of the asphalt from the aggregate. This research evaluates the effectiveness of clay nanomaterials (i.e., nanoclays) in improving the resistance of hot mix asphalt (HMA) to moisture damage and compares the enhancement results to anti-stripping additives commonly used in pavement construction. …

Powering Electric Vehicles: Are We Ready?, Christian Yoder

Williams Honors College, Honors Research Projects

This project will investigate typical power grids and the impacts that electric vehicles have on them. Electric vehicles are rapidly growing in popularity and much of the world is promising to make the switch from combustion engines to EVs. Electric vehicles demand a large amount of electricity. With fast charging becoming available, it is worth asking if the current electrical infrastructure can handle the increase in demand. After talking to a source at FirstEnergy, it seems large electric companies are well aware of areas in need of adjustment and are moving accordingly.

An Analysis Of The Influence Of Speed On Fatal Accidents In Ohio, Megan Johnson

Williams Honors College, Honors Research Projects

Through data collected by NHTSA and FARS, Ohio crash data resulting in fatalities were analyzed through four different breakdowns to determine variables correlating to the fatalities. The breakdowns include dividing data from overall Ohio data, reports involving speeding, then from there to single-vehicle crashes. That data was divided down to only include male drivers and then finally only motorcycles. This data was analyzed as it was broken down to find trends with each category. Through these analyses, the trends were developed to suggest recommendations to implement through education and laws to help reduce the number of crashes resulting in fatalities.

Graduated Driver Licensing Program, Jeeyen Koo, Andrew Martin, Jennifer Walton

Kentucky Transportation Center Research Report

To address challenges related to teen driver safety, Kentucky adopted a simple graduated driver licensing (GDL) program in 1996 and further expanded it in 2006 by adding an intermediate licensing phase, requirements for supervised practice driving, and instituting restrictions on passenger age. Despite GDL programs having been adopted throughout the US, young drivers (ages 16 – 20) continue to be overrepresented in fatal crashes. In 2019, despite this segment making up roughly 5.3 percent of licensed drivers it accounted for 11.5 percent of fatal vehicle crashes (Kentucky recorded 732 crash fatalities, of which 73 involved young drivers). Although teen driver …

2+1 Roadway Design Guidance Update, Jeff Jasper, Jeff Wolfe, Robin Baskette, Paul Ross, Chris Van Dyke

Kentucky Transportation Center Research Report

The frequency and severity of crashes on rural two-lane roadways have increased in the US relative to other road types. This trend can be explained by the growing number of vehicles, higher speeds, narrow shoulders, and vehicle mixes. One solution for improving traffic flow and safety outcomes on rural two-lane roadways is to adopt a 2+1 design, which confers the benefits of four-lane highways but at a lower cost. Transportation agencies throughout Europe — and increasingly the US — have seen good results from 2+1 layouts. Crash data from Sweden, Germany, Finland, and Denmark reveal better safety outcomes following the …

Pedestrian And Bicycle Improvement Scoring Method For Shift–2024, Nikiforos Stamatiadis, Daria Korostina, Teng Wang, Reginald Souleyrette

Kentucky Transportation Center Research Report

State transportation agencies have limited funding to deliver multimodal transportation programs that address the needs of all users. To allocate project funding in an impartial and objective manner, many agencies have adopted data-driven scoring systems that are used to evaluate the merits of proposed capital improvement projects. The Kentucky Transportation Cabinet introduced the Strategic Highway Investment Formula for Tomorrow (SHIFT) for this purpose. Until now SHIFT, has evaluated projects based five core variables — congestion, safety, benefit-cost ratio, asset management, economic growth. To address local needs, SHIFT has also allocated points that Area Development Districts, metropolitan planning organizations, and Cabinet …

Efficient Maritime Object Detection And Validation For Enhancing Safety Of Uncrewed Marine Systems, Ahmed Saglam, Yiannis Papelis

VMASC Publications

Safe operation of uncrewed maritime systems is a major concern in the presence of other vehicles or obstacles. Typically, perception algorithms utilize sensor data to identify obstacles that must be avoided, and AI algorithms are used to interpret raw sensor data for use in navigation and object avoidance algorithms. However, perception algorithms are typically computationally expensive. In this paper, we present an efficient method for detecting obstacles using raw lidar data in the form of range or Point Cloud, employing computationally efficient techniques that do not depend on trained models or AI matching. The approach
converts the sensor readings into …

Single Field Of View Calibration Through Estimating Three Mutually Orthogonal Vanishing Points For Spatial Data Collection In Traffic Scenes, Sourav Dutta

Graduate Theses, Dissertations, and Problem Reports (ETD)

Accurately extracting the three mutually orthogonal vanishing points plays a vital role in the field of view calibration for many surveillance-based traffic applications. However, the paucity of parallel lines along the dominant directions in many traffic scenes engenders the inapplicability of the current methods for a successful calibration. This research proposed a novel vanishing point estimating method for traffic scenes. This method capitalizes on both the road scene and moving vehicles for the determination of the dominant directions of the real-world coordinate frame. It also exploits distinctive edgelets for the direct identification of vanishing point candidates. Both lab and field …

Extracting Road Surface Marking Features From Aerial Images Using Deep Learning, Michael Kimollo

UNF Graduate Theses and Dissertations

The traffic and roadway safety agencies spend significant efforts each year collecting roadway data, including lane configurations and other road surface marking data, such as areas with school zone markings, sidewalks, left turns, right turns, bicycle lanes, etc., for safety analysis and planning purposes. The current manual data collection methods pose significant operational and quality control challenges as they are costly and prone to errors. In addition to that the manual data collection is labor intensive and takes too much time involving high equipment costs, questionable data accuracy guarantees, and concerns about the safety of the crew.

This study aims …

Exploring Of User Experience And Evaluating Mobility Benefits Of Micromobility Systems And Golf Carts: Case Study Of Florida, Kabhabhela C. Bukuru

UNF Graduate Theses and Dissertations

Micromobility devices and golf carts (GCs)/Low speed vehicles(LSVs) are urban transportation solutions that provide short-distance travel options, including first- and last-mile trips. They mostly operate at speeds of 15 mi/h to 35 mi/h. The micromobility devices include e-scooters and e-bikes. The micromobility devices and golfcarts are increasing rapidly in the transportation system, and thus, it is necessary to explore their various factors. The objective of this study is to explore the user experience and evaluate the mobility benefits of the micromobility systems in Florida.

A survey was conducted in various cities with a substantial user base of micromobility devices. Various …

Quantifying The Impact Of Wide Base Tires On Pavement Performance In Michigan, Lei Yin

Dissertations, Master's Theses and Master's Reports

This study aimed to investigate the use of wide base tires (WBT) in Michigan to quantify the effect of different percentages of WBT loads on flexible and rigid pavements. Surveys and field investigations were conducted to quantify the WBT usage in Michigan. The JULEA (for flexible pavements) and Illislab (for JPCP) software programs were used to calculate the mechanical response between dual tire (DT) and WBT loads, while the Mechanical-Empirical (ME) pavement design process was utilized for damage accumulation and pavement distress analysis. Investigation results rationalized the assumption of WBT proportion for design purposes as 10% currently and up to …

Are Ride-Hailing Services Safer Than Taxis? A Multivariate Spatial Approach With Accomodation Of Exposure Uncertainty, Guocong Zhai, Kun Xie, Hong Yang, Di Yang

Civil & Environmental Engineering Faculty Publications

Despite many research efforts on ride-hailing services and taxis, limited studies have compared the safety performance of the two modes. A major challenge is the need for reliable mode-specific exposure data to model their safety outcomes. Moreover, crash frequencies of the two modes by injury severities tend to be spatially and inherently correlated. To fully address these issues, this study proposes a novel multivariate conditional autoregressive model considering measurement errors in mode-specific exposures (MVCARME). More specially, a classical measurement error structure is used to accommodate the uncertainty of mode-specific exposures estimated, and a multivariate spatial specification is adopted to capture …

Automating Intersection Marking Data Collection And Condition Assessment At Scale With An Artificial Intelligence-Powered System, Kun Xie, Huiming Sun, Xiaomeng Dong, Hong Yang, Hongkai Yu

Civil & Environmental Engineering Faculty Publications

Intersection markings play a vital role in providing road users with guidance and information. The conditions of intersection markings will be gradually degrading due to vehicular traffic, rain, and/or snowplowing. Degraded markings can confuse drivers, leading to increased risk of traffic crashes. Timely obtaining high-quality information of intersection markings lays a foundation for making informed decisions in safety management and maintenance prioritization. However, current labor-intensive and high-cost data collection practices make it very challenging to gather intersection data on a large scale. This paper develops an automated system to intelligently detect intersection markings and to assess their degradation conditions with …

Estimating Vehicle Infrastructure: Downtown Albuquerque, New Mexico, Zachery Phillip Baiamonte

Architecture and Planning ETDs

Cities have little knowledge about their parking infrastructure despite clear evidence that abundant parking has environmental, economic, and transportation consequences. The objective of this thesis is to illustrate the need to accurately estimate the area dedicated to vehicle infrastructure (parking lots and streets) within urban areas. I focused on a method that estimated the vehicle infrastructure area within the Downtown Core of Albuquerque, New Mexico, by cross-referencing geospatial cadastral data with minimum parking requirements. Three parking space types were identified: 1) parking in structures; 2) surface parking (parking lots and residential driveways); and 3) on-street parking. To illustrate the need …

Inequity Of Access Across America: A Spatial, Temporal, And Modal Disparity Analysis, Sanju Maharjan

Theses and Dissertations

The overarching goal of this dissertation is to examine the spatial, temporal, and modal disparity of access across America. This is achieved by posing three research objectives. The first objective determines the spatial and temporal disparity of transit and automobile access gap, its impact on transit use, and its socioeconomic and built environment correlates. The second objective examines the spatial and temporal disparity of slightly and extremely risky bike infrastructure and measures the social inequity of access to bike infrastructure. The third objective indicates spatial transit access mismatch between high- and low-wage employment across metropolitans. Three findings are discerned. First, …