Lily Elefteriadou is the director of the UF Transportation Institute (UFTI), and the Barbara Goldsby Professor in the Department of Civil & Coastal Engineering in the Herbert Wertheim College of Engineering. She is a nationally and internationally recognized expert on traffic operations, traffic flow theory and simulation, with research funding exceeding $25M in the past 10 years.
Areas of Expertise (7)
Highway Capacity Analysis
Traffic Flow Theory
Traffic Signal Control
An Examination of Two Diverse Communities: Residents' Transportation Behaviors, Challenges, and OpportunitiesOTJR: Occupational Therapy Journal of Research
Mary Jeghers, et. al
The Smart Cities Collaborative aims to mitigate transportation challenges and inequities with new approaches and technologies (e.g., ridesharing). Therefore, assessing community transportation needs is essential. The team explored the travel behaviors, challenges, and/or opportunities among low- and high-socioeconomic status (SES) communities. Using Community-Based Participatory Research principles, four focus groups were conducted to investigate residents' behaviors and experiences...
Platooning Trajectory Optimization for Connected Automated Vehicles in Coordinated ArterialsNational Academies of Sciences
Agustin Guerra, Lily Elefteriadou
This paper proposes heuristic methods to optimize the trajectories of connected automated vehicles (CAVs) along an arterial assuming fully automated traffic condition. CAV trajectories are adjusted to form platoons at the saturation headway, guaranteeing the arrival of vehicles at the downstream intersection during the green interval. On the arrival of CAVs, an algorithm enables a smooth transition to the system target speed.
Long-Range Multi-Object Tracking at Traffic Intersections on Low-Power DevicesInstitute of Electrical and Electronics Engineers
Patrick Emami, et. al
The next generation of intelligent traffic signal control systems needs multi-object tracking (MOT) algorithms that can track vehicles hundreds of meters away from traffic intersections. To facilitate the integration of long-range MOT into existing traffic infrastructure, the tracker must achieve a good balance of cost-effectiveness, accuracy, and efficiency.