Dimitra Michalaka

• Citadel

A graduate course was implemented to teach the fundamentals of Agile project management as part of the MS Technical Project Management curriculum. The course was designed to provide a solid foundation in Agile methodologies for project management practice to enable graduates to execute appropriate Agile techniques to plan, and deliver quality resul...

Earned Value Management (EVM) provides the basis for assessing work progress against a baseline plan, relates technical, time and cost performance, and gives managers a summary of effective decision making. It is a useful technique for objectively measuring project performance and progress. This paper discusses developing and implementing an integr...

Deep Learning (DL)-based image classification models are essential for autonomous vehicle (AV) perception modules since incorrect categorization might have severe repercussions. Adversarial attacks are widely studied cyberattacks that can lead DL models to predict inaccurate output, such as incorrectly classified traffic signs by the perception mod...

Since 1995, several countries and states have implemented roadway traffic safety projects with the goal of achieving a highway system with no fatal or serious injury crashes. South Carolina’s Target Zero plan is multifaceted in that it identifies several preventative measures to reduce fatalities. A common thread of these programs is that they are...

Background One way to promote regular activity in communities is through bike share systems, which are increasingly integrating electric-assist pedal bikes (e-bikes). This study quantified the differences in energy expenditure, perceptions of difficulty, and acceleration between regular bikes and e-bikes in a bike share system. Methods First, part...

The performance of Autonomous Vehicles (AV) depends on Deep Learning (DL)-based Image classification models because actions performed based on misclassification can have serious consequences. Adversarial attacks are known to make DL models predict incorrect output, such as misclassified traffic signs. In this study, we focus on developing Hybrid Cl...

This paper takes a deep dive into analyzing crash-related site characteristics and determining which characteristics have increased odds of involvement in fatal crashes. This research identifies detailed characteristics of fatal crash sites for South Carolina from the year 2019. Over 900 fatal crashes were used in the characterization, and details...

The efficiency and reliability of real-time incident detection models directly impact the affected corridors' traffic safety and operational conditions. The recent emergence of cloud-based quantum computing infrastructure and innovations in noisy intermediate-scale quantum devices have revealed a new era of quantum-enhanced algorithms that can be l...

Image classification must work for autonomous vehicles (AV) operating on public roads, and actions performed based on image misclassification can have serious consequences. Traffic sign images can be misclassified by an adversarial attack on machine learning models used by AVs for traffic sign recognition. To make classification models resilient ag...

Transportation engineers and planners are becoming more interested in using roundabouts to address capacity and traffic operations, access management, and safety concerns in the transportation system. Roundabouts are preferred as a form of intersection by some communities because they allow for continuous flow of traffic and they can be less expens...

In micro-simulation analysis, it becomes more critical and challenging for professionals and researchers to calibrate high-occupancy/toll (HOT) lanes, due to several pricing and lane choice parameters involved in the process. Many previous studies and research projects have performed traditional calibrations of micro-simulation models without the t...

In micro-simulation analysis, it becomes more critical and challenging for professionals and researchers to calibrate high-occupancy/toll (HOT) lanes, due to several pricing and lane choice parameters involved in the process. Many previous studies and research projects have performed traditional calibrations of micro-simulation models without the t...

Use of traffic simulation has increased in recent decades; and this high-fidelity modelling, along with moving vehicle animation, has allowed transportation decisions to be made with better confidence. During this time, traffic engineers have been encouraged to embrace the process of calibration, in which steps are taken to reconcile simulated and...

Usage of traffic simulation has increased significantly in recent decades; and this high-fidelity modelling, along with moving vehicle animation, has allowed important transportation decisions to be made with better confidence. During this time, traffic engineers have typically been encouraged to embrace the process of calibration, in which steps a...

Usage of traffic simulation has increased significantly over the past two decades; and this high-fidelity modelling, along with moving vehicle animation, has allowed important transportation decisions to be made with better confidence. During this time, traffic engineers have typically been encouraged to embrace the process of calibration, in which...

Engineering educators are charged with the responsibility of developing future engineers whom are prepared to lead societal change in the built environment. To best prepare engineering graduates to rise to the occasion of such complex demands necessitates use of new approaches in classroom instruction and innovative methods based on active learning...

This paper presents a hypothetical case study built upon empirical data from Florida to compare socioeconomic impacts of three market-based instruments, i.e., gasoline tax, mileage fee and tradable mobility credits or permits, in regulating the vehicle miles traveled in Florida. Our empirical analysis shows that all three instruments are equally ef...

This presentation described a patent-pending method of software-assisted calibration.

This presentation discussed characteristics of managed lane modeling in CORSIM. These characteristics included geometric data specification, differentiating between toll-pay and free-use vehicles, pricing methodologies, reaction methodologies, output data/animation, and field data validation.

Microscopic simulation is critical for evaluating the operation strategies of managed lanes. However, most existing tools are limited in their ability to simulate dynamic tolling strategies of managed lanes, particularly those with multiple segments. Three sets of modeling components are developed in this paper to demonstrate simulation of high-occ...