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Articles 61 - 90 of 627

Full-Text Articles in Civil and Environmental Engineering

Development Of Active Learning Data Fixing Tool With Visual Analytics To Enhance Traffic Near-Miss Diagnosis, Jinyu Pei Jan 2022

Development Of Active Learning Data Fixing Tool With Visual Analytics To Enhance Traffic Near-Miss Diagnosis, Jinyu Pei

Electronic Theses and Dissertations, 2020-2023

This study proposes a software to upgrade the UCF SST's Automated Roadway Conflicts Identification System (ARCIS), a pixel-to-pixel manner automated safety diagnostics and conflict identification system. The system is developed to extract vehicles' trajectories and traffic parameters using unmanned aerial vehicles (UAV) video and utilizing deep learning techniques. A user-friendly tool to improve rapid system development with active-learning, data analysis, and visualization techniques is introduced, which is capable of traffic safety near-miss diagnostics based on the ARCIS output. Multiple approaches are used to enhance the system performance, including video stabilization, object filtering, stitching multiple videos, vehicle detection and tracing. In …

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Modeling, Reconstruction, And Trend Analysis Of Global Storm Surges Using A Data-Driven Approach, Michael Getachew Tadesse Jan 2022

Modeling, Reconstruction, And Trend Analysis Of Global Storm Surges Using A Data-Driven Approach, Michael Getachew Tadesse

Electronic Theses and Dissertations, 2020-2023

Storm surge is the deadliest component of extreme sea levels with one of the highest global death tolls per event. Tide gauges are the primary sources for historical sea-level measurements from which storm surge data is extracted. However, tide gauges are unevenly distributed across the globe, and most records are short in length and have gaps; this creates a challenge to assess long-term trends and perform robust extreme value analysis. This dissertation introduces a data-driven storm surge modeling framework that trains statistical and machine learning models with atmospheric and oceanographic variables. Data-driven models (DDMs) are trained and validated for more …

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Enhancing The Decision-Making Process For Public-Private Partnerships' Concession Agreements: Socio-Economic Sustainability Approaches, Faisal Alghamdi Jan 2022

Enhancing The Decision-Making Process For Public-Private Partnerships' Concession Agreements: Socio-Economic Sustainability Approaches, Faisal Alghamdi

Electronic Theses and Dissertations, 2020-2023

Designing a concession for Public-Private Partnerships (PPP) agreements is a complicated process due to the number of variables that need to be considered. The PPP concession has many parameters and components, and a change in one component will considerably impact other components. Hence, the determination of the fair values of the concession components needs to be based on mutual benefits between the concession participants. The concession participants have different parts in the development of the concession; hence, they have different perspectives and goals. Therefore, the concession design needs to be constructed to balance the interests of the involved parties to …

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Effect Of Various Speed Management Strategies On Bicycle Crashes For Urban Roads In Central Florida, Jorge Ugan Dec 2021

Effect Of Various Speed Management Strategies On Bicycle Crashes For Urban Roads In Central Florida, Jorge Ugan

Electronic Theses and Dissertations, 2020-2023

In recent years, cycling has become an increasingly popular transportation mode around the world. In contrast to other popular modes of transportation, cycling is more economic and energy efficient. While many studies have been conducted for the bicycle safety analysis, most of them were limited in terms of bicycle exposure data and on-street data. This study tries to improve the current safety performance functions for bicycle crashes at urban corridors by utilizing crowdsource data from STRAVA and on-street speed management strategies data. Speed management strategies are any roadway alterations that causes a change in motorists' driving behavior. In Florida, these …

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Using Iphone Significant Location Data To Improve Air Pollution Exposure Estimation, Elizabeth Eastman Dec 2021

Using Iphone Significant Location Data To Improve Air Pollution Exposure Estimation, Elizabeth Eastman

Electronic Theses and Dissertations, 2020-2023

An accurate estimation of human exposure to ambient air pollution is crucial for air pollution health studies. Time-activity patterns may introduce substantial uncertainties in exposure estimation. As smartphones are becoming increasingly popular and their ownership is becoming ubiquitous in the US. Virtually all smartphones can collect location data, and such data is continuously somewhere. Therefore, it is clear that such stored location data has the potential to be used for characterizing an individual's time-activity patterns for air pollution health studies. However, studies on the accuracy and feasibility of using a smartphone's location data in air pollution exposure estimation are still …

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The Potential Of Location Data For Contact Tracing And Understanding Individual Mobility During The Covid-19 Pandemic, Marcus Figaro Dec 2021

The Potential Of Location Data For Contact Tracing And Understanding Individual Mobility During The Covid-19 Pandemic, Marcus Figaro

Electronic Theses and Dissertations, 2020-2023

In this study, we first review contact tracing methods used during the COVID-19 pandemic and provide an analysis of the benefits and drawbacks of different data collection and privacy protection methods. Our findings provide the benefits and drawbacks of using GPS versus Bluetooth for contact tracing, as well as the different data collection and storage methods and their effectiveness in protecting user privacy. We then analyze Twitter data to understand individual mobility behavior and sentiment by using a Natural Language Processing tool on text content of user tweets and Tweet coordinate data. Social media's ability to provide data on location …

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Data Driven Methods For Large Scale Network Level Traffic Modeling, Rezaur Rahman Dec 2021

Data Driven Methods For Large Scale Network Level Traffic Modeling, Rezaur Rahman

Electronic Theses and Dissertations, 2020-2023

Rapid growth in population along with urban-centric activities impose a massive demand on existing transportation systems, thus increasing traffic congestion and other mobility related challenges. To overcome such challenges, we need network-scale models to accurately predict real-time traffic demand and associated congestion. However, traditional network modeling approaches have shortcomings due to the complexity in traffic flow modeling, limited scope to incorporate real-time data available from emerging data sources and requiring excessive computation time to generate accurate estimation of traffic flows. Advancement in traffic sensing technologies with big data has created a new opportunity to overcome these challenges and implement deployable …

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A Linear Dynamical Perspective On Epidemiology: Interplay Between Early Covid-19 Outbreak And Human Mobility, Shakib Mustavee Dec 2021

A Linear Dynamical Perspective On Epidemiology: Interplay Between Early Covid-19 Outbreak And Human Mobility, Shakib Mustavee

Electronic Theses and Dissertations, 2020-2023

This research investigates the impact of human activity and mobility (HAM) in the spreading dynamics of an epidemic. Specifically, it explores the interconnections between HAM and its effect on the early spread of the COVID-19 virus. During the early stages of the pandemic, effective reproduction numbers exhibited a high correlation with human mobility patterns, leading to a hypothesis that the HAM system can be studied as a coupled system with disease spread dynamics. This study applies the generalized Koopman framework with control inputs to determine the nonlinear disease spread dynamics and the input-output characteristics as a locally linear controlled dynamical …

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Understanding Process Controls On Flow Duration Curves Through A Novel Framework, Saba Ghotbi May 2021

Understanding Process Controls On Flow Duration Curves Through A Novel Framework, Saba Ghotbi

Electronic Theses and Dissertations, 2020-2023

Flow duration curve (FDC) is a hydrologically representation of the statistical distribution of daily streamflows. For a long time, hydrologists have sought deeper understanding of the process controls on the shape of FDC, which has been a challenge due to contrasting processes controlling the fast flow and slow flow components of streamflow and their interactions. This dissertation addresses the challenge by outlining a novel framework to explore the physical controls on FDC. The framework involves separating streamflow into fast flow and slow flow and studying their duration curves separately then combining them statistically to obtain FDC. Initially, the potential of …

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Investigating Topologic And Geometric Properties Of Synthetic And Natural River Networks Under Changing Climate, Shiblu Sarker May 2021

Investigating Topologic And Geometric Properties Of Synthetic And Natural River Networks Under Changing Climate, Shiblu Sarker

Electronic Theses and Dissertations, 2020-2023

River networks are important landscape features that collect and transport water, sediment and nutrients from regions of higher elevation to lower elevations. These networks have been studied for several decades from a range of geomorphological and hydrological perspectives. Investigating the geometric and topological properties of river networks is important for developing predictive models describing the network dynamics under changing climate as well as for quantifying the physical processes operating upon them. Although these networks have been characterized for a wide range of geomorphic properties, topological properties, and in particular, spectral properties of river networks received limited attention. In this dissertation, …

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Assessing Change In Runoff Water Parameters Through Road Shoulder Vegetated Filter Strips: Experimental Comparison Of Soils And Engineered Infiltration Media, Andrew Corrado, Mohammad Shokri Mar 2021

Assessing Change In Runoff Water Parameters Through Road Shoulder Vegetated Filter Strips: Experimental Comparison Of Soils And Engineered Infiltration Media, Andrew Corrado, Mohammad Shokri

The Pegasus Review: UCF Undergraduate Research Journal

Placement of Vegetated Filter Strips (VFS) along roadways may facilitate removal of nutrients from stormwater runoff. The objective of this research is to compare water quality performance of a VFS containing engineered media to that of typical Florida sandy soil. Storms of variable intensity were simulated over two 1:1 scale physical models of typical one- and two-lane roadway shoulders, one with engineered media (treatment), and one without (control). Simulated roadway runoff was introduced as sheet flow from the roadway and precipitation was applied with a rainfall simulator. Samples of runoff and infiltrate were tested for Dissolved Oxygen (DO) concentration and …

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Impact Of Climate Change On Storms And Coastal Morphodynamics, Kelsey Perez Jan 2021

Impact Of Climate Change On Storms And Coastal Morphodynamics, Kelsey Perez

Honors Undergraduate Theses

Storms have been impacting coastal morphodynamics directly due to its intensifying effects over the years. Climate change has caused an exponential impact on storms and therefore morphodynamic changes in the coasts. A specific land that has constantly been threatened is Dauphin Island, a barrier island in Alabama. Over time, it has experienced a total land loss of 100 ft of shoreline over the past of 3 decades and an overall 16% land loss of the island due to the intensifying effects of storms due to a changing climate. In this study, we use Hurricane Ivan as an example. In order …

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Improving Pedestrian Safety Using Video Data, Surrogate Safety Measures And Deep Learning, Shile Zhang Jan 2021

Improving Pedestrian Safety Using Video Data, Surrogate Safety Measures And Deep Learning, Shile Zhang

Electronic Theses and Dissertations, 2020-2023

The research aims to improve pedestrian safety at signalized intersections using video data, surrogate safety measures and deep learning. Machine learning (including deep learning) models are proposed for predicting pedestrians' potentially dangerous situations. On the one hand, pedestrians' red-light violations can expose the pedestrians to motorized traffic and pose potential threats to pedestrian safety. Thus, the prediction of pedestrians' crossing intention during red-light signals is carried out. The pose estimation technique is used to extract features on pedestrians' bodies. Machine learning models are used to predict pedestrians' crossing intention at intersections' red-light, with video data collected from signalized intersections. Multiple …

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Evaluating Source Water Quality, Pretreatment, And Particulate Mass Transport In A Nanofiltration Membrane Process, Courtney Powell Jan 2021

Evaluating Source Water Quality, Pretreatment, And Particulate Mass Transport In A Nanofiltration Membrane Process, Courtney Powell

Electronic Theses and Dissertations, 2020-2023

This document details the source and occurrence of particulates in a nanofiltration (NF) process, considers the implementation of additional pretreatment to improve feedwater quality, and investigates the impact of submicron particles on membrane performance. Much of this research was performed in cooperation with the City of Boynton Beach (City) at the West Water Treatment Plant (WTP) and stemmed from particulate fouling concerns in the pretreatment and NF membrane processes. The water quality of the individual wells that supply the West WTP was evaluated to identify the source of particulates which overload the pre-filters (5-μm cartridge filters) and may contribute to …

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The Effect Of Polyelectrolyte Modification Of Ultrafiltration Membranes On Fouling Resistance And Rejection Of Contaminants Of Emerging Concern, Kunal Olimattel Jan 2021

The Effect Of Polyelectrolyte Modification Of Ultrafiltration Membranes On Fouling Resistance And Rejection Of Contaminants Of Emerging Concern, Kunal Olimattel

Electronic Theses and Dissertations, 2020-2023

This research attempted to leverage the unique properties of poly (allylamine hydrochloride) (PAH)/poly (acrylic acid) (PAA) bilayer coatings to enhance antifouling and antimicrobial properties of a commercially available ultrafiltration (UF) membrane as well as the removal of PFOA and PFOS—the two CECs that most frequently represent the class of PFAS. The effects of selected water matrix components (humic acids [HA] and cations) on PFOA and PFOS removals were also investigated when using the functionalized membrane. PAH/PAA films were first deposited on the membrane using a fluidic layer by layer (LbL) technique and then crosslinked, followed by embedding of the silver …

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Remediation Of Roadway Runoff Nutrients: Querying Sources Delivery Mechanism, Efficacy Of Stormwater Best Management Practices, And Stormwater Routing Through Karst Geology, Mohammad Shokri Jan 2021

Remediation Of Roadway Runoff Nutrients: Querying Sources Delivery Mechanism, Efficacy Of Stormwater Best Management Practices, And Stormwater Routing Through Karst Geology, Mohammad Shokri

Electronic Theses and Dissertations, 2020-2023

Stormwater road runoff is a widespread non-point source of contaminants such as nutrients, which endangers water bodies, especially in vulnerable karst areas such as Florida. While roadside vegetated filter strips (VFSs) and stormwater basins are generally accepted best management practices (BMPs) for stormwater management, uncertainties about VFS nutrient removal are reported and stormwater basins are concerned of facilitating contaminant transport. In this dissertation, the application and efficacy of engineered infiltration media was tested as a subgrade for the enhanced nutrient removal from roadway runoff. Results of field-scale laboratory testing indicated that a VFS with engineered biosorption activated media (BAM) outperformed …

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Seismic Soil-Structure Interaction Effects In Tall Buildings Considering Nonlinear-Inelastic Behaviors, Jaime Mercado Jan 2021

Seismic Soil-Structure Interaction Effects In Tall Buildings Considering Nonlinear-Inelastic Behaviors, Jaime Mercado

Electronic Theses and Dissertations, 2020-2023

Soil-structure interaction (SSI) effects are relevant for the seismic analysis of tall buildings on shallow foundations since the dynamic behavior of structures is highly affected by the interaction between the superstructure and supporting soils. As part of earthquake-resistant designs of buildings, considering SSI effects in the analysis provides more realistic estimates of its performance during a seismic event, particularly when both the structure and soil undergo large demands that can compromise serviceability. Oversimplifications of structural or soil modeling in the analysis introduces variability and biases in the computed seismic response. The main goal of this dissertation is to investigate the …

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The Roles Of Groundwater Table In Catchment Hydrology, Lili Yao Jan 2021

The Roles Of Groundwater Table In Catchment Hydrology, Lili Yao

Electronic Theses and Dissertations, 2020-2023

The main goal of this dissertation research is to investigate catchment hydrological processes including infiltration and saturation excess runoff generation with consideration of groundwater table. For the infiltration process, an infiltration Péclet number was proposed to quantify the relative effects of gravity and capillary force on the evolution of infiltration capacity in the special case of the presence of a shallow water table, and a power law functional form of Time Compression Approximation was developed whose exponent was found to vary with the Péclet number. For the saturation excess runoff process, a new probability distribution model based on the SCS …

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Ground Movements And Vibrations Caused By Impact Pile Driving Of Prestressed Concrete Piles In Central Florida, Jorge Enrique Orozco Herrera Jan 2021

Ground Movements And Vibrations Caused By Impact Pile Driving Of Prestressed Concrete Piles In Central Florida, Jorge Enrique Orozco Herrera

Electronic Theses and Dissertations, 2020-2023

The process of pile driving has been a commonly used method for the installation of deep foundations in Central Florida due to the soil conditions that consist mainly of medium-dense silty sands. Pile driving can generate large vibration levels that might potentially trigger ground deformations in the surrounding soils and cause damage on nearby structures. Currently, design and construction standards provide guidance in terms of ground vibration levels expected during pile driving and establish vibration thresholds to avoid damage on important infrastructure. However, little insight has been given into the amount of ground deformations that soils experience due to pile …

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The Effects Of Critical Micelle Concentration And Environmental Factors On Oil Separation In Simulated Bilgewater Emulsions, Kelsey Rodriguez Doran Jan 2021

The Effects Of Critical Micelle Concentration And Environmental Factors On Oil Separation In Simulated Bilgewater Emulsions, Kelsey Rodriguez Doran

Electronic Theses and Dissertations, 2020-2023

Improved bilgewater treatment is necessary because of technological challenges often faced when meeting existing ocean discharge criteria regulations. Since bilgewater is a waste mixture including hydraulic oils, cleaning agents, and seawater, the success of its management is largely attributed to understanding oil-in-water emulsion characterizations. However, the study of bilgewater emulsions is complex due to the multivariate nature of real-shipboard samples. The objective of this study is to develop the relationship between parameters commonly found in bilgewater and emulsion stability. This work is a continuation of a 3-year research project supported by the Strategic Environmental Research and Development Program (SERDP). Previous …

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Modeling Of Crash Risk For Realistic Artificial Data Generation: Application To Naturalistic Driving Study Data, Lauren Hoover Jan 2021

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 …

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Combining Multivariate Statistical And Numerical Modeling For Coastal Hazards Analysis, Victor Malagon Santos Jan 2021

Combining Multivariate Statistical And Numerical Modeling For Coastal Hazards Analysis, Victor Malagon Santos

Electronic Theses and Dissertations, 2020-2023

Increased population density along the world's coastlines is driven by the wide range of services provided by costal systems, such as transportation, fisheries, trade, and tourism. Despite offering fundamental services, coastal systems are exposed to a range of natural hazards such as riverine and/or coastal flooding, and erosion, thus robust risk analyses are needed to protect coastal ecosystems, infrastructure, and people dwelling in proximity to the shoreline. Numerical and multivariate statistical models have become crucial tools in coastal risk management to support robust risk analyses, and their combined use provides many benefits in the analysis of coastal hazards. This dissertation …

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Investigating The Removal Of Total Trihalomethanes In Tray And Spray Aeration Processes At Two Central Florida Groundwater Treatment Facilities, Zachary Protas Jan 2021

Investigating The Removal Of Total Trihalomethanes In Tray And Spray Aeration Processes At Two Central Florida Groundwater Treatment Facilities, Zachary Protas

Electronic Theses and Dissertations, 2020-2023

An investigation has been completed that assessed the efficiency of tray and spray aeration processes on the removal of regulated total trihalomethanes (TTHMs) at two publicly owned potable groundwater treatment facilities located in Polk County, Florida: the Providence and Van Fleet water treatment plants (WTPs). Finished water from each of these facilities was fed to a pilot-plant that could be operated as either a tray, spray, or combined configuration. A series of four pilot aerator configurations were tested at each WTP. Test 1 evaluated the tray aerator operated in a recirculated multiple-pass mode. It was shown that three passes across …

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Real-Time Traffic Safety Evaluation In The Context Of Connected Vehicles And Mobile Sensing, Pei Li Jan 2021

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 …

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Ground Movements And Nonlinear-Inelastic Response Of Buildings Induced By Excavations In Glacial Clay Deposits, A. Felipe Uribe-Henao Jan 2021

Ground Movements And Nonlinear-Inelastic Response Of Buildings Induced By Excavations In Glacial Clay Deposits, A. Felipe Uribe-Henao

Electronic Theses and Dissertations, 2020-2023

The analysis of ground movements and nonlinear response of buildings induced by excavations in glacial clay deposits is conducted using finite element models built in PLAXIS2D and OpenSees. PLAXIS2D was used to simulate the performance of an urban cofferdam excavation braced with a concrete bracing system. Measured ground movements were compared with the computed response, and the influence of the temperature, installation, and curing effects on the concrete bracing is evaluated. Concrete time-dependent effects contributed to 32% of the maximum lateral wall movements. The numerical studies are expanded in a second finite element analysis to characterize the coupled fluid-solid response …

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Safety And Operations Of Urban Arterials Incorporating The Context Classification System, Nada Mahmoud Jan 2021

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, …

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Crash Analysis And Development Of Safety Performance Functions For Florida Roads In The Framework Of The Context Classification System, Ma'en Al-Omari Jan 2021

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 …

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Monitoring Of Microscopic Traffic Behavior For Safety Applications Using Temporal Logic, Mariam Wessam Hassan Mohamed Nour Jan 2021

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 …

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Incinerator Ash Characterization - Implications For Elevated Temperature Landfills, Angel Villarruel-Moore Jan 2021

Incinerator Ash Characterization - Implications For Elevated Temperature Landfills, Angel Villarruel-Moore

Electronic Theses and Dissertations, 2020-2023

The occurrence of temperatures in municipal solid waste (MSW) landfill gas (LFG) extraction systems in excess of 55°C is a problem that has gained much attention in the solid waste industry, both domestically and globally. Facilities which frequently experience such temperatures are termed Elevated Temperature Landfills (ETLFs), and recent research conducted at the University of Central Florida (UCF) has provided strong evidence that ash, both MSW incinerator ash (MSWIA) and coal combustion ash (CCA), when co-disposed with unburned MSW, provides materials which are able to participate in abiotic exothermic reactions that may lead to the development or sustainment of ETLFs. …

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Applying Machine Learning Techniques To Improve Safety And Mobility Of Urban Transportation Systems Using Infrastructure- And Vehicle-Based Sensors, Zubayer Islam Jan 2021

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 …

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