Civil and Environmental Engineering Commons^™

Considering Children’S Travel Needs: Perceptions Of Transport Planning Professionals In Ireland, Sarah Mcdonagh, Sarah Rock

Conference Papers

In recent years it has been reported that in an international comparison of children’s independent mobility that Ireland has one of the lowest rates of both children’s independent mobility and active travel among several countries (Shaw et al., 2015). Children’s independent mobility and active travel are shown to be affected by several factors including parental time pressures and lifestyle choices; societal fears (‘stranger danger’); and the fear of traffic and road safety (Shaw et al., 2015, Hillman et al., 1990; Lynch, 1977; Johansson, 2006; Shaw et al., 2013; and Zwerts et al., 2010). This research focuses on the latter – …

Evaluation Of Liquid Ice Melting Additives For Winter Maintenance Applications, Erin Lammers-Staats

Theses and Dissertations--Civil Engineering

Winter weather can often pose difficulties for transportation agencies as they work to clear roads of snow and ice quickly so that motorists can travel safely and efficiently. Kentucky has made efforts to maximize efficiency within its winter maintenance program by focusing on optimized equipment usage and personnel time management. This study’s objective was to evaluate novel anti-icers and calculate how their performance compared to the current performance of brine and calcium chloride mixture. New brine additives claim to offer better results, but there is very little guidance about how to systematically evaluate new anti-icers. The author developed a testing …

Context Classification Of Roadways Using Nationally Available Gis Data, Laura Wright

Theses and Dissertations--Civil Engineering

A Context Classification System based on context attributes of the area surrounding a roadway provides detailed information about the environment of a roadway corridor, while enabling practitioners to cater roadway projects to the community they are within. This study sought to create a system that would automatically classify roadway segments into the correct context, using data sources that are available nationwide. The proposed approach was tested by classifying the roadways in Highway District 7 of the Kentucky Transportation Cabinet. This process would make context classification approachable to more organizations, as it would reduce the amount of time required to apply …

Exploring The Impact Of Socio-Demographic Characteristics, Health Concerns, And Product Type On Home Delivery Rates And Expenditures During A Strict Covid-19 Lockdown Period: A Case Study From Portland, Or, Miguel Figliozzi, Avinash Unnikrishnan

Civil and Environmental Engineering Faculty Publications and Presentations

E-commerce volumes and home deliveries have experienced steady growth in the last two decades. Strict COVID-19 lockdowns made home delivery an essential service and a lifeline for many households that, for travel restrictions or health concerns, were not able to utilize traditional shopping methods. This research studies the impact of socio-demographic variables and e-commerce attitudes on household deliveries for seven product categories (groceries, meals, electronics, household and office goods, recreational items, and fashion, beauty and personal care products, and medicine/health-related products) during the lockdown period in the greater Portland metropolitan region. To understand these impacts, exploratory factor analysis and …

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. …

Smart Parking Systems: Reviewing The Literature, Architecture And Ways Forward, Can Biyik, Zaheer Allam, Gabriele Pieri, Davide Moroni, Muftah O' Fraifer, Eoin O' Connell, Stephan Olariu, Muhammad Khalid

Computer Science Faculty Publications

The Internet of Things (IoT) has come of age, and complex solutions can now be implemented seamlessly within urban governance and management frameworks and processes. For cities, growing rates of car ownership are rendering parking availability a challenge and lowering the quality of life through increased carbon emissions. The development of smart parking solutions is thus necessary to reduce the time spent looking for parking and to reduce greenhouse gas emissions. The principal role of this research paper is to analyze smart parking solutions from a technical perspective, underlining the systems and sensors that are available, as documented in the …

See-Trend: Secure Traffic-Related Event Detection In Smart Communities, Stephan Olariu, Dimitrie C. Popescu

Computer Science Faculty Publications

It has been widely recognized that one of the critical services provided by Smart Cities and Smart Communities is Smart Mobility. This paper lays the theoretical foundations of SEE-TREND, a system for Secure Early Traffic-Related EveNt Detection in Smart Cities and Smart Communities. SEE-TREND promotes Smart Mobility by implementing an anonymous, probabilistic collection of traffic-related data from passing vehicles. The collected data are then aggregated and used by its inference engine to build beliefs about the state of the traffic, to detect traffic trends, and to disseminate relevant traffic-related information along the roadway to help the driving public make informed …

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 …

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 …

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 …

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 …

An Overview Of Converting Kabul’S Traffic Circles And Rotaries To Modern Roundabouts, Mohammad Anas Taeb

Dissertations, Master's Theses and Master's Reports

Circular intersections, in the form of traffic circles and rotaries, were built around the world in the first half of the twentieth century. However, with the rise in traffic flow, regular traffic congestion and accidents forced authorities to look for alternative solutions and, in many cases, signalized intersections became the preferred alternative. In the 1960s, the UK introduced concept of modern roundabouts and a new set of priority rules for the circulating traffic. Since the inception of modern roundabouts, they have enhanced both operational and safety aspects at these locations, even when used to replace large traffic circles/rotaries, proving that …

An Empirical Analysis To Control Product Counterfeiting In The Automotive Industry's Supply Chains In Pakistan, Saad Akhter Jaffery

Doctoral

The counterfeits pose significant health and safety threat to consumers. The quality image of firms is vulnerable to the damage caused by the expanding flow of counterfeit products in today’s global supply chains. The counterfeiting markets are swelling due to globalization and customers’ willingness to buy counterfeits, fueling illicit activities to explode further. Buyers look for the original parts are deceived by the false (deceptive) signals’ communication. The counterfeiting market has become a multi-billion industry but lacks detailed insights into the supply side of counterfeiting (deceptive side). The study aims to investigate and assess the relationship between the anti-counterfeiting strategies …

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 …

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 …

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), …

Evaluating Factors Influencing Transportation-Related Energy Consumption, Amrit Williams

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis contributes to the literature assessing the relationships between travel patterns, transportation-related energy consumption, and urban form. Although the literature has explored several area-related and other factors, the focus has mainly been on urban areas. This research aims to (1) quantify the relationship of transportation-related energy consumption with urban form, (2) explore how individual attitudes might affect consumption, and (3) explore differences in consumption among different socioeconomic and demographic population groups.

Data collected from an online survey targeting adults in the contiguous U.S. supplemented with secondary spatial data were used to address the research goals. The collected sample was …

Impact Of Blended Salt Anti-Icers/Deicers On Properties Of Asphalt Binders, Nurudeen A. Abidoye

College of Graduate Studies: Theses & Dissertations

Anyone who has ever attempted to remove a layer of ice from a roadway or sidewalk by plowing or shoveling knows it is no easy task when the ice is firmly bonded to the asphalt/concrete surface. Winter anti-icing/deicing operations are moral choices that mankind has made to combat winter storms. This research is aimed at evaluating the macro and nano structural impacts of (anti-icing/de-icing) salt on aged and unaged asphalt binders. The macro structural impacts focused on the rheological and creep properties, and the nano structural impacts focused on the surface topography, adhesion force, and modulus of asphalt binders. Rheological …

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 …

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.