NSF, FDOT-Funded Projects use Autonomous & Connected Vehicle Technologies to Optimize Signal Control |
Research funded by the National Science Foundation (NSF) and the Florida Department of Transportation (FDOT) uses the technology in autonomous vehicles to alleviate congestion and improve safety. The research team created optimization algorithms, simulation tools, and sensor capabilities for enhancing traffic signal control operations by optimizing vehicle trajectories in mixed traffic consisting of connected vehicles, autonomous vehicles, and conventional vehicles. Implementing the algorithm showed a 38% to 52% reduction in average travel time compared to conventional, actuated signal control. FDOT has funded an additional project for further development and testing. Click on the image (top right) to view an informative video showcasing the projects.
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Traffic Signal Control with Connected & Autonomous Vehicles in the Traffic Stream
PI: Dr. Lily Elefteriadou; Co-PIs: Dr. Sanjay Ranka and Dr. Carl Crane
Development & Testing of Optimized Autonomous & Connected Vehicle Trajectories at Signalized Intersections
PI: Dr. Lily Elefteriadou; Co-PIs: Dr. Sanjay Ranka and Dr. Carl Crane
Extended Development & Testing of Optimized Signal Control with Autonomous & Connected Vehicles
PI: Dr. Lily Elefteriadou; Co-PIs: Dr. Sanjay Ranka and Dr. Carl Crane
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(FDOT Report BDV31-977-97: Traffic-event Unification System Highlighting Arterial Roads; loop detector image above courtesy of the UFTI-T2 Digital Media Archive)
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Engineers use Artificial Intelligence Techniques to Predict Traffic Flow Interruptions |
Dr. Sanjay Ranka (Computer Science), Dr. Anand Rangarajan (Computer Science), and Dr. Siva Srinivasan (Civil Engineering) have developed software that detects traffic flow interruptions in real time, providing additional tools for arterial traffic incident management and historical record correction. The researchers used available data on traffic flows to develop an algorithm that can locate crashes without significant investment into additional infrastructure. They created software that uses data from traffic signal loop detectors and other traffic-related data to detect interruptions in traffic flow. |
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NSF Project Will Dynamically Predict Traffic Disruptions in Road Networks |
A project funded by the National Science Foundation's (NSF) Division of Civil, Mechanical, & Manufacturing Innovation has been awarded to UFTI affiliate Dr. Mostafa Reisi Gahrooei, an Assistant Professor in the UF Department of Industrial & Systems Engineering. Natural disasters and other extreme events have caused roadway disruptions that severely affect the efforts of critical emergency management activities such as evacuations, and rescue and recovery operations. An analytical, data-driven method to dynamically monitor and predict these disruptions/gridlocks, especially at the granular road-level, can critically support emergency management systems to assist communities in properly planning and functioning under the stress of extreme events. |
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A Dynamic Disruption Prediction System for Transportation Networks at a Road-Segment Level of Granularity
PI: Dr. Mostafa Reisi Gahrooei
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Chimay Anumba, Ph.D., Dean & Professor, UF College of Design, Construction, & Planning |
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Design, Construction & Planning Dean Elected to the National Academy of Construction |
Congratulations to Dr. Chimay Anumba who has been elected a member of the National Academy of Construction (NAC) for his “Innovative and fundamental contributions to construction engineering, management and informatics, and a leader in developing the next generation of construction professionals.” Dr. Anumba is a member of the UFTI's External Advisory Board, providing guidance on institute initiatives. |
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Occupational Therapy Research Scientist Receives Driver Rehabilitation Scholar Award |
Congratulations to Dr. Sandra Winter, a Research Assistant Scientist in the UF Department of Occupational Therapy, for receiving the 2020 Association for Driver Rehabilitation Specialists (ADED) Scholar Award. The Driver Rehabilitation Specialist award is presented each year to those who have made outstanding scholarly achievements in the areas of driver evaluation, education, research, and/or engineering. Dr. Winter works on transportation-related research from the perspective of an occupational therapist, especially looking at issues involving older drivers and the medically-at-risk. |
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Sandra M. Winter, Ph.D., OTR/L, Research Assistant Scientist, UF Department of Occupational Therapy (OT) |
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When: September 9, 2020
Time: 12:00 PM, ET
Presenters:
Dr. Pruthvi Manjunatha, University of Florida
Dr. Mike Hunter, Georgia Institute of Technology
Dr. Lily Elefteriadou, University of Florida
The Southeastern Transportation Research, Innovation, Development, & Education (STRIDE) Center is the 2016 USDOT Region 4 (Southeast) University Transportation Center (UTC) housed at the University of Florida Transportation Institute (UFTI).
If you are interested in exploring previous STRIDE Center webinars, click here. To view recordings of past webinars, click here.
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STRIDE Webinar: Evaluation of the Operational Effects of Connected and Autonomous Vehicles (CAVs) through Microsimulation |
Proper evaluation advanced traffic control strategies integrating Connected and Autonomous Vehicles (CAVs) requires accurate representation of these emerging technologies within the context of microscopic simulation, allowing for detailed evaluation of their operational and environmental effects. In this webinar, we will discuss: 1) An evaluation of the microscopic simulator VISSIM’s ability to simulate CAVs; 2) Development of a comprehensive simulation extension to represent CAVs in VISSIM; and 3) Integration of emissions modeling to calculate real-time energy and emission estimates. |
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When: September 9, 2020
Time: 12:00 PM, ET
Presenter:
Dr. Sanjay Ranka, Department of Computer & Information Science & Engineering, University of Florida
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Webinar: Artificial Intelligence for Smart City Transportation |
Dr. Sanjay Ranka (Computer Science), Dr. Anand Rangarajan (Computer Science), and Dr. Siva Srinivasan (Civil Engineering) developed algorithms and software for the detection of traffic interruptions. Detecting interruptions is a critical aspect of managing traffic on urban road networks. This research outlines a semi-supervised strategy to automatically detect traffic interruptions occurring on arteries using high resolution data from widely deployed inductive loop detectors. The techniques highlighted in this paper were tested on approximately 1 Terabyte of data collected from detectors installed on more than 300 signalized intersections over a 6-month period. The experimental results show that the approach can detect interruptions with high precision and recall. Computer Science doctoral students Yashaswi Karnati and Dhruv Mahajan were key contributors to this project. |
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When: September 16, 2020
Time: 12:00 PM, ET
Presenters:
Dr. Pruthvi Manjunatha, University of Florida
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UFTI Webinar: I-STREET: A Real-World Transportation Testbed in Gainesville, FL |
The University of Florida (UF) and the Transportation Institute (UFTI), the Florida Department of Transportation (FDOT), and the City of Gainesville (CoG) have partnered to create a “smart testbed” on the UF campus and surrounding highway network. I-STREET stands for Implementing Solutions from Transportation Research and Evaluating Emerging Technology. This webinar builds on the previous STRIDE webinar on I-STREET and gives a brief overview of the testbed. This is followed by updates on the latest sensor deployments, technology evaluations, and the projects underway.
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