Thursday, July 28, 2022 | 12:00 – 1:00 PM (ET)
ABOUT THE WEBINAR:
No matter where they form and why, queues are impactful to traffic, causing delay and increased accident potential. The overall goal of this effort is to explore methodologies for automatically detecting the development of queues in a street network. Additional objectives would be to determine the spread of the queue, the rate of spread, and identify their impact area. By automatically determining these parameters from real-time information, the next step of predictive management (not taken in this project) could be analyzed to proactively employ real-time strategies to minimize queue formation, spread, and impact. While any real-time analytics approach faces significant challenges, new research in big-data monitoring, assessment, and analysis techniques provide the premise for finding a practical real-time solution.
ABOUT THE PRESENTER:
Geza Pesti, Ph.D., P.E is a research engineer at the Texas A&M Transportation Institute (TTI). He has 32 years of research, 6 years of teaching, and 2 years of consulting experience. His research at TTI has primarily focused on traffic control and operations on freeways and arterials, queue warning system design and evaluation, data fusion techniques and connected vehicle research. He led research projects funded by FHWA, the Connected Vehicle Pooled Fund Study (CV PFS), the Texas Department of Transportation (TxDOT) and other state DOTs. In a recent CV PFS project, he developed the concept and high-level design for V2I Queue Advisory/Warning applications that can fuse data from multiple data sources, including connected vehicles, traffic sensors, and third-party data providers. He was a key researcher in a pilot-testing of the Reduced Speed Zone/Lane Closure Warning application developed by the Crash Avoidance Metrics Partners (CAMP) consortium under the V2I Safety Applications Project. He has also been involved in a major TxDOT project that provides advanced traveler information for the I-35 corridor expansion project in Central Texas. His research results have been published in over 50 peer-reviewed journal articles and conference papers. He is a member of ITE and ITS America and a registered professional engineer in Texas.
Robert Brydia, PMP
is a dynamic and innovative transportation professional with 30 years of experience in operations, technology, and project management. Holding the position of senior research scientist, he also leads the Advanced Transportation Operations program and is a developer and implementer of leading-edge systems, deployments, methodologies, applications, and products across multiple states, projects, and sponsors. Mr. Brydia has been the principal investigator on more than $40M of research projects with an additional $35M as technical lead. Mr. Brydia is a committed and proven leader with a deep passion for teamwork, collaboration, and communication developed through the leadership of multi-disciplinary teams ranging from 2 to 50 people. Mr. Brydia is also known as an excellent communicator with the ability to disseminate complex technical issues and have discussions with a broad range of audiences.Mr. Brydia is also an Adjunct Professor of Practice in Industrial and Systems Engineering, guiding student teams through capstone projects. He is active in the profession with leadership roles across multiple organizations.In addition to authoring more than 100 technical reports, papers, publications, and short courses, Mr. Brydia has led the design and development of dozens of field deployments, applications, networking systems, web sites, CD-ROMs, assessment tools, and information dissemination platforms across 30 years of innovative project leadership. He received his Master of Science degree in civil engineering from Pennsylvania State University in 1991 and is a PMI Project Management Professional. Mr. Brydia has been with The Texas A&M Transportation Institute since 1996.
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