Current Projects

Project Title Research Period PIs Sponsor Research Objective
REU Site: Sensing and Smart Systems January 2017 – December 2019 A. Stevanovic (Co-PI) National Science Foundation This project will host cohorts of undergraduate students for summer research in the area of sensing and smart systems. Smart systems represent an emerging class of distributed systems that provide real-time awareness of conditions, trends, and patterns to support improved decision-making and automated control. More specifically at LATOM the REU students will work on two particular topics: 1. on establishing communication between virtual vehicle and traffic signal controller in a Connected Vehicle framework, and 2. on enabling integration of a physical driving simulator with a mathematical simulation model representing urban network operations. A driving simulator will be assembled from a gaming-like platform and peripherals, computer and three flat-screen monitors.
Development of a Traffic Map Evaluation Tool for TMC Applications February 2017 – December 2018 A. Stevanovic (PI) Florida Department of Transportation Develop a Mapping Evaluation Tool which will assist TMC operators to better monitor, analyze, and spot trends of arterial traffic operations. The tool will be built on common FDOT-approved framework and platforms which will ensure consistency (and lack of overlapping) with the other ongoing efforts. The tool is intended to cover a range of data and traffic monitoring procedures which are either emerging (e.g. high-resolution controller data) or being slightly neglected in the other applications and tools (drawbridge and RR preemption data).
Analysis of Traffic Demand Patterns and Signal Re-timing Strategies for ITS-data-rich Arterials January 2017 – May 2018 A. Stevanovic (PI) Florida Department of Transportation This research will bring a new perspective to the evaluation of robustness of signal timing plans for varying traffic conditions. FAU research team will incorporate long-term field data into the process of developing new signal timing plans which will be able to cope with variability of traffic conditions. This will be achieved by incorporating a comprehensive set of field traffic flows, after necessary validation and balancing, into a microsimulation model, thus creating realistic traffic-volume scenarios which will represent unique signatures of traffic flows. Signal timing plans will then be optimized for each of the representative traffic flows resembling the process that usually occurs in the state of practice. Then, each of the signal timing plans will be evaluated for multiple traffic-flow scenarios to determine the best signal timing plans.