Engineering Commons^™

An Exploration Of The Application Of Spatial Network Screening Methods On Iowa Rural Road Crashes, Rosanna Maria Novellino Suarez

Electronic Theses and Dissertations

Safety on the roadway system is important due to its usage on mobility and accessibility, especially on rural roads in the state of Iowa. Single vehicle run off road crashes have been increasing in the United States and studies and research has increased due to the concern with those. For this effort, a spatial-temporal method of traffic safety network screening is utilized in order to evaluate the concerning type of crashes in particular locations. The study of single vehicle run off road crashes using the proposed method is important since distributions and clusters of crashes along roadways can be observed …

Modeling Of Crash Risk For Realistic Artificial Data Generation: Application To Naturalistic Driving Study Data, Lauren Hoover

Electronic Theses and Dissertations, 2020-2023

Most safety performance analysis employs cross-sectional and time-series datasets, posing an important challenge to safety performance and crash modification analysis. The traditional safety model analysis paradigm relying on observed data only allows relative comparisons between analysis methods and is unable to establish how well the methods mimic the true underlying crash generation process. Assumptions are made about the data, but whether the assumptions truly characterize the safety data generation in the real world remains unknown. To address this issue, this thesis proposes the generation of realistic artificial data (RAD). In developing a prototype RAD generator for crash data, we mimic …

Real-Time Traffic Safety Evaluation In The Context Of Connected Vehicles And Mobile Sensing, Pei Li

Electronic Theses and Dissertations, 2020-2023

Recently, with the development of connected vehicles and mobile sensing technologies, vehicle-based data become much easier to obtain. However, only few studies have investigated the application of this kind of novel data to real-time traffic safety evaluation. This dissertation aims to conduct a series of real-time traffic safety studies by integrating all kinds of available vehicle-based data sources. First, this dissertation developed a deep learning model for identifying vehicle maneuvers using data from smartphone sensors (i.e., accelerometer and gyroscope). The proposed model was robust and suitable for real-time application as it required less processing of smartphone sensor data compared with …

Safety And Operations Of Urban Arterials Incorporating The Context Classification System, Nada Mahmoud

Electronic Theses and Dissertations, 2020-2023

Urban arterials connect multiple areas in the city and encourage non-motorist activities. Hence, the safety and operations on urban arterials is vital as they improve the mobility of daily commuters and road users. This research aims to facilitate traffic operations on urban arterials by proposing multiple mythological approaches to estimate and predict turning movement counts at signalized intersections using traffic data from adjacent intersections. Further, it aims to improve the safety by developing crash prediction models, identifying the hotspots for multiple crash types, and indicating the factors contributing to operating speed as well as non-motorist crashes. The analyses included tuning, …

Mechanically Spliced Precast Bridge Columns, Ted Sjurseth

Electronic Theses and Dissertations

Mechanical bar splices provide an alternative to the traditional method of lap splicing to achieve reinforcement bar continuity in reinforced concrete. Even though mechanical bar splices can be used as new precast column connections to accelerate the bridge construction (ABC), The use of bar couplers in the plastic hinge region of bridge columns is prohibited by the current US codes since the effects of bar couplers on the seismic behavior of columns is not fully investigated. A bridge column including precast columns with couplers located in a high seismic region must be designed to handle large inelastic lateral deformations. The …

2020 Kentucky Transportation Cabinet Maintenance Customer Survey, Bryan Gibson, Katherine Connair, Chris Van Dyke, Clark Graves, Doug Kreis

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) periodically surveys drivers to understand their perceptions of the agency’s maintenance activities. In 2020, Quadratics in conjunction with the Kentucky Transportation Center surveyed 2,400 licensed drivers throughout the state to gauge their perceptions of highway maintenance, identify areas of strength and weakness, and discern how drivers obtain information on traffic and weather conditions. Survey participants answered questions about five areas of highway maintenance — roadside features, pavement surfaces, shoulders, drainage, and signs/markings. Drivers reported being most satisfied with the maintenance of signs, guardrail, and striping. Pavement surfaces, potholes, and overall appearance garnered the lowest ratings. …

Identifying Origin-Destination Trips From Gps Data – Application In Travel Time Reliability Of Dedicated Trucks, Li Zhao, Ying Li

Mid-America Transportation Center: Final Reports and Technical Briefs

The advancement of data collection technologies has brought an upsurge in GPS applications. For example, travel behaviour research has benefited from the integration of multiple sources of Global Positioning System (GPS) data. However, the effective use of such data is still impeded by the challenge in data processing. For instance, GPS data, despite providing detailed spatial movement information, do not label the starting and finishing points of a trip, especially for commercial trucks. Hence, there is a critical need to develop a trip identification method to effectively use the trajectory data provided by GPS without additional information. This paper focused …

Crash Analysis And Development Of Safety Performance Functions For Florida Roads In The Framework Of The Context Classification System, Ma'en Al-Omari

Electronic Theses and Dissertations, 2020-2023

Nowadays, technology is employed in many safety applications and countermeasures that would enhance traffic safety by influencing some crash-related factors. Therefore, crash-related factors must be determined for every roadway element by the development of safety performance functions. Safety performance functions (SPF) are employed to predict crash counts at the different roadway elements. Several SPFs have been developed for the various roadway elements based on different classifications such as functional classification and area type. Since a more detailed classification of roadway elements leads to more accurate crash predictions, multiple states have developed new system to categorize roads based on a comprehensive …

Monitoring Of Microscopic Traffic Behavior For Safety Applications Using Temporal Logic, Mariam Wessam Hassan Mohamed Nour

Electronic Theses and Dissertations, 2020-2023

Smart cities are revolutionizing the transportation infrastructure by the integration of technology. However, ensuring that various transportation system components are operating as expected and in a safe manner is a great challenge. One of the proposed solutions is traffic monitoring systems which collect and analyze traffic data for the safe operation and management of the overall system. Even though traffic safety analysis has been tied to crash data, surrogate safety measures (SSM) have recently emerged as a replacement. SSM can provide a convenient alternative for understanding the impact of conflicts on overall road safety. Traditionally, conflicts were studied through manual …

Applying Machine Learning Techniques To Improve Safety And Mobility Of Urban Transportation Systems Using Infrastructure- And Vehicle-Based Sensors, Zubayer Islam

Electronic Theses and Dissertations, 2020-2023

The importance of sensing technologies in the field of transportation is ever increasing. Rapid improvements of cloud computing, Internet of Vehicles (IoV), and intelligent transport system (ITS) enables fast acquisition of sensor data with immediate processing. Machine learning algorithms provide a way to classify or predict outcomes in a selective and timely fashion. High accuracy and increased volatility are the main features of various learning algorithms. In this dissertation, we aim to use infrastructure- and vehicle-based sensors to improve safety and mobility of urban transportation systems. Smartphone sensors were used in the first study to estimate vehicle trajectory using lane …

Seismic Performance Of Mechanically Spliced Precast Bridge Columns With New Couplers, Evan Greeneway

Electronic Theses and Dissertations

Lap splicing is not always the most economical or practical approach to achieve reinforcement bar continuity. Mechanical bar splices, or bar couplers, are one alternative that may be far more practical. Currently, the US codes do not allow for the use of bar couplers in the plastic hinge region for RC members in areas of high seismic activity. There has not been enough research into the couplers behavior when subjected to significant inelastic lateral deformations. The Lohr Structures Laboratory was used to conduct an experimental study on campus of South Dakota State University to evaluate the seismic performance of mechanically …

Assessing Freeway Crash Risk Using Crowdsourced Waze Incident Alerts, Eugene Boasiako Antwi

Theses and Dissertations--Civil Engineering

Traffic data obtained through crowdsourcing are becoming more accessible to traffic agencies due to advancements in smartphone technology. Traffic managers aim to use this data to complement their conventional sources of data and provide additional context in their analysis. In this study, Waze incident alerts are integrated with GPS-Probe speed data and Kentucky State Police (KSP) crashes to assess their impact on traffic flow and safety on freeways in Kentucky. The analysis showed that the presence of a vehicle on the shoulder is associated with about 36.7% of freeway crashes in Kentucky. The presence of a vehicle on the shoulder …

Nonlinear Wave Evolution In Interaction With Currents And Viscoleastic Muds, Elham Sharifineyestani, Navid Tahvildari

Civil & Environmental Engineering Faculty Publications

A numerical model is extended to investigate the nonlinear dynamics of surface wave propagation over mud in the presence of currents. A phase-resolving frequency-domain model for wave-current interaction is improved to account for wave modulations due to viscoelastic mud of arbitrary thickness. The model compares well with published laboratory data and performs slightly better than the model with viscous mud-induced wave damping mechanism. Monochromatic and random wave simulations are conducted to examine the combined effect of currents, mud-induced wave dissipation and modulation, and nonlinear wave-wave interactions on surface wave spectra. Results indicate that current effects on wave damping over viscoelastic …

Identifying The Links Between Mental Frameworks, Context Features, And Driver Attention In Complete Streets Environments, Patricia Tice

Electronic Theses and Dissertations, 2020-2023

Complete street systems integrate a wide range of users in the same space, with unequal risks and responsibilities. This makes driver attention a critical factor in assuring the safety of vulnerable users. The Conditioned Anticipation of People psychological model of driver attention proposes that drivers reflexively reengage their metacognitive processes when they anticipate visually interacting with the human face or form due to the neurological priority that the brain places on human recognition. To test this model, an eye-tracking tabulation was generated from the SHRP2 Naturalistic Driving Study that measured midsegment percent of time on-task and multitasking behavior for 200 …

Optimization Of Transit Smart Card Data Publishing Based On Differential Privacy, Chenxi Chen

Masters Theses

“Privacy budget allocation is a key step of the differential privacy (DP)-based privacy-preserving data publishing (PPDP) algorithm development, as it directly impacts the data utility of the released dataset. This research describes the development of an optimal privacy budget allocation algorithm for transit smart card data publishing, with the goal of publishing non-interactive sanitized trajectory data under a differential privacy definition. To this end, after storing the smart card trajectory data with a prefix tree structure, a query probability model is built to quantitatively measure the probability of a trajectory location pair being queried. Next, privacy budget is calculated for …

Save-T: Safety Analysis Visualization And Evaluation Tool, Yuan Zhu, Sami Demiroluk, Kaan Ozbay, Kun Xie, Hong Yang, Di Sha

Civil & Environmental Engineering Faculty Publications

Traffic crashes are one of the biggest issues which constitute a threat to lives of the motorists and disrupt operations of the transportation system. To reduce the number of crashes and alleviate their impacts, it is necessary to scrutinize the factors contributing to the risk of traffic crashes. Lately, visual analytics tools become very popular for data exploration and obtaining insights from the data. In this paper, a new web-based data visualization tool called Safety Analysis Visualization and Evaluation Tool (SAVE-T) was introduced. This tool enables users to interactively create queries and visually explore the results. By utilizing an online …

Exploring And Visualizing Spatial Effects And Patterns In Ride-Sourcing Trip Demand And Characteristics, Bishoy Kelleny, Sherif Ishak

Civil & Environmental Engineering Faculty Publications

The complex demand pattern of ride-sourcing remains to be a challenge to transportation modeling practitioners due to the infancy and the inherently dynamic nature of the ride-sourcing system. Spatial effects exploration and analysis protocols can provide informative insights on the underlying structure of demand and trip characteristics. Those protocols can be thought of as an opportunistic strategy to alleviate the complexity and help specifying the appropriate econometric models for the system. Spatial effects exploration is comparable to point pattern analysis, in which, signals from spatial entities, like census tracts, can be analyzed statistically to reveal whether a specific phenomenon respective …

Online Bus Speed Prediction With Spatiotemporal Interaction: A Laplace Approximation-Based Bayesian Approach, Haipeng Cui, Kun Xie, Bin Hu, Hangfei Lin

Civil & Environmental Engineering Faculty Publications

This study proposes a novel Bayesian hierarchical approach for online bus speed prediction by explicitly accounting for the spatiotemporal interaction (STI) of speed observations. The use of Laplace approximation can expedite the estimation of Bayesian models and enable the implementation of online prediction. Large numbers of trials are carried out to identify significant predictors and the optimal length of the look-back time window to achieve the highest prediction accuracy. The spatiotemporal interacting patterns are also explored, and results show that the Type IV model assuming the structured spatial effect interacts with the structured temporal effect can best accommodate the bus …

Conceptual Development Of A Probabilistic Graphical Framework For Assessing Port Resilience, Katherine Smith, Rafael Diaz, Yuzhong Shen, Francesco Longo

VMASC Publications

Technological advances such as cyber physical systems and autonomous vehicles combined with increased disruptions including the Covid-19 pandemic and coastal natural disasters have heightened the importance of port risk analysis methodologies and frameworks that can accurately quantify and optimize resilience. This work presents the conceptual development of a novel combination of analysis methodologies linking a probabilistic graphic approach on a network of risk events with a functional dependency approach on a system network. Key advantages of these two methodologies are the ability to model and learn causal interactions rather than simply correlations and a high level of computational efficiency. This …

A Comparison Of The Effectiveness And Integration Capability Of Personal Aerial Vehicles (Pav) Into The Existing Transportation Network Of The City Of Los Angeles, Alec Perkins

Williams Honors College, Honors Research Projects

Traffic demands on the current infrastructure network is becoming more strained as populations migrate and increase, particularly in large cities. Therefore, city officials, transportation and traffic authorities and researchers, and city inhabitants themselves are always striving to find faster and more efficient means of transportation. With the rise of new technologies such as autonomous vehicles and drones, the applications for transportation are endless. Therefore, this paper will describe and explore the operations, and consequently the efficacy, of Personal Aerial Vehicles (PAV), also known as Urban Air Mobility (UAM). The machines, while still hypothetical, are being researched extensively by some of …

The Life Of A Roundabout In Colorado Springs, Alexis M. Yoder

Williams Honors College, Honors Research Projects

Colorado Springs is an up-and-coming area where many people have decided to move to for multiple opportunities. With more people, comes more traffic flow and unfortunately, more accidents. Throughout the state, there is a large attempt to lower accidents, especially at intersections. One type of intersection that can be of great benefit is the roundabout. In fact, Colorado was an early adapter of the roundabout in order to improve traffic flow and decrease fatal accident statistics. When designing a roundabout, although good intentions are planned, complications can still arise. In most scenarios, roundabouts are able to reduce the number of …

The Effects Of The Coronavirus On Transportation, Brittney Crandall

Williams Honors College, Honors Research Projects

This year the world has been challenged with the Coronavirus pandemic. This has led to national shutdowns which have negatively affected many aspects of everyday life. One of the industries that has seen adverse effects from the global pandemic is the transportation industry. This raises the question of exactly how the transportation industry has been affected by the pandemic, what the long-term effects will be, and what the future of the transportation industry will look like. Using existing data and research, predictions will be made to solve these questions.

Side Impact Collisions: Trucks Versus Sedans, Mackenzie Cheyney

Williams Honors College, Honors Research Projects

The proposed project will cover the effects of FMVSS 214 addendum to include light trucks. The addition of side door beams, air bags, and a dynamic performance requirement are the main points of FMVSS 214 which will be discussed. The effects of these safety measures will be compared between light trucks and sedans. NHTSA reports regarding the effects of FMVSS 214 will be reviewed in this paper. Based on the NHTSA literature reviews, further recommendations will be made.

Roundabouts: A Study In Green, Benjamin Shaub

Williams Honors College, Honors Research Projects

The purpose of this project was to provide insight on the subject of the implementation of roundabouts as an alternative to traditional intersections. Specifically, this project focuses primarily on intersection improvement projects performed by the City of Green, a municipality local to Akron, Ohio. The report discusses many of the considerations that contributed to roundabout conversion being established as the preferred improvement for the State Route 619-Pickle Rd and State Route 619-Myersville Rd intersections located within the City of Green, along with additional details pertaining to these two public projects (completed in 2018 and 2019 respectively). The intent of this …

Calibration Of Iri-Based Psi Equation Using Updated Quarter-Car Parameters, Shirin Bahaaeldin Hassan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The international roughness index (IRI) was established in the 1980s and later used in generating the present serviceability index (PSI), which was developed to predict present serviceability rating (PSR). PSR is a measure of ride quality ratings made by a panel of highway users. The ratings range from 0 to 5, where “0” for very poor and “5” for very good. Various studies had formulated the relationship between IRI and PSI for different types of pavements, such as flexible, rigid, and composite pavements. The current IRI-based PSI equation being used among many state Departments of Transportation (DOTs) was proposed by …

Workshop Outcomes Report: 1st International Workshop On Seismic Resilience Of Arctic Infrastructure And Social Systems, Majid Ghayoomi, Katharine Duderstadt, Alexander Kholodov, Alexander Shiklomanov, Matthew Turner, Elham Ajorlou

Faculty Publications

No abstract provided.

Developing Guidelines For Assessing The Effectiveness Of Intelligent Compaction Technology, Mehran Mazari, Siavash F. Aval, Siddharth M. Satani, David Corona, Joshua Garrido

Mineta Transportation Institute

Many factors affect pavement compaction quality, which can vary. Such variability may result in an additional number of passes required, extended working hours, higher energy consumption, and negative environmental impacts. The use of Intelligent Compaction (IC) technology during construction can improve the quality and longevity of pavement structures while reducing risk for contractors and project owners alike. This study develops guidelines for the implementation of IC in the compaction of pavement layers as well as performing a preliminary life-cycle cost analysis (LCCA) of IC technology compared to the conventional compaction approach. The environmental impacts of the improved construction process were …

The Influence Of Channel Deepening On Tides, River Discharge Effects, And Storm Surge, S. A. Talke, Ramin Familkhalili, D. A. Jay

Civil & Environmental Engineering Faculty Publications

We combine archival research, semi-analytical models, and numerical simulations to address the following question: how do changes to channel geometry alter tidal properties and flood dynamics in a hyposynchronous, strongly frictional estuary with a landward decay in tidal amplitudes? Records in the Saint Johns River Estuary since the 1890s show that tidal range has doubled in Jacksonville, Florida. Near the estuary inlet, tidal discharge approximately doubled but tidal amplitudes increased only ∼6%. Modeling shows that increased shipping channel depths from ∼5 to ∼13m drove the observed changes, with other factors like channel shortening and width reduction producing comparatively minor effects. …

Infrastructure Systems Modeling Using Data Visualization And Trend Extraction, Jacob Marshal Hale

Doctoral Dissertations

“Current infrastructure systems modeling literature lacks frameworks that integrate data visualization and trend extraction needed for complex systems decision making and planning. Critical infrastructures such as transportation and energy systems contain interdependencies that cannot be properly characterized without considering data visualization and trend extraction.

This dissertation presents two case analyses to showcase the effectiveness and improvements that can be made using these techniques. Case one examines flood management and mitigation of disruption impacts using geospatial characteristics as part of data visualization. Case two incorporates trend analysis and sustainability assessment into energy portfolio transitions.

Four distinct contributions are made in this …

Identification Of Crash Contributing Factors In Av Involved Crashes, Md Tanvir Ashraf

Graduate Theses, Dissertations, and Problem Reports (ETD)

Autonomous Vehicles (AVs) can dramatically reduce the number of traffic crashes and associated fatalities by eliminating the avoidable human-errors related crash contributing factors. Many companies have been conducting pilot tests on public roads in several states in the United States and other countries to accelerate AV mass deployment. AV pilot operations on California public roads saw 251 AV-involved crashes (as of February 2020). These AV-involved crashes provide a unique opportunity to investigate AV crash risks in a mixed traffic environment. This study collected the AV crash reports from the California Department of Motor Vehicles and applied the Decision Tree (DT), …