Tuesday, August 20, 2024 | 12:00 – 1:00 PM (ET)
Managing traffic at intersections with oversaturation is a challenge. When all directions are saturated, it is near impossible. Add in some other modes of traffic like buses and 24 trains a day and you have George Bush Drive and Wellborn Road in College Station, TX. A National Institute for Congestion Research project completed in 2023 sought to provide some relief to this intersection and take some actions proven in simulation to relieve the congestion. This presentation describes the additional simulations that account for the trains and use the true field operations via hardware-in-the-loop technology and a deployment of the strategy and the findings of operating the system in the field.
About the Presenter:
David Florence, P.E. is an Assistant Research Engineer in the System Reliability Division of the Texas A&M Transportation Institute (TTI). In his 10-year career at TTI, David has performed research for the Texas Department of Transportation (TxDOT), Federal Highway Administration (FHWA), Crash Avoidance Metrics Partners (CAMP) and various University Transportation Centers (UTCs). He has engaged over 20 studies covering weather responsive traffic management, intelligent transportation systems (ITS), wrong-way driving, traffic signal control, sensors, traveler information systems, and/or microsimulation modeling and training. David has authored over 25 reports, published six peer-reviewed papers in the Transportation Research Record: Journal of the Transportation Research Board, and made numerous presentations on his research findings.
David has led research efforts to evaluate queue responsive signal control in multimodal environments and impacts of partially autonomous vehicles on signalized corridors. He has conducted several operational evaluations on arterials and freeway facilities involving different innovative technologies. In these projects David provided a comprehensive analysis of system performance including data from both the field and microsimulation models of the facilities. David has also led or assisted with projects concerning light rail operations, roadway design, driver behavior, freight operations and detection, and connected and autonomous vehicles.
