T3e Webinar Overview
Latest Developments in Derivation and Testing of the Arterial Multimodal Performance Measures
Date: Wednesday, December 7, 2016
Time: 1:00 PM – 2:00 PM ET
Cost: All T3e webinars are free of charge
PDH: 1.0 View PDH Policy
T3 Webinars and T3e Webinars are brought to you by the Intelligent Transportation Systems (ITS) Professional Capacity Building (PCB) Program of the U.S. Department of Transportation's (U.S. DOT) ITS Joint Program Office (JPO). References in this webinar to any specific commercial products, processes, or services, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the U.S. DOT.
This webinar will feature two student presentations from the Florida Atlantic University (FAU). Danilo Radivojevic and Bratislav Ostojic are working with Dr. Aleksandar Stevanovic in the department of Civil, Environmental, and Geomatics Engineering. Each student will present outcomes of their recent research projects. The unifying theme is collection and derivation of innovative performance measures to characterize and monitor operations on arterial streets.
The first presentation will focus on building of the Hardware-in-the-loop simulation test lab for investigation of the high-resolution logging capabilities of six different traffic signal controllers. The goal of the research was to define the minimum requirements for high-resolution traffic signal controllers in the State of Florida. Signal controller and detection event codes, and their handling to generate automated Signal Performance Measures, will be described. Conclusions and lessons learned will be shared with the audience.
The second presentation will describe FAU’s recent efforts to investigate the use of crowd-monitoring and video feature extraction technologies. These efforts are to collect and process data from pedestrians, bicyclists, and other users of shared facilities in urban transportation networks. Crowd-monitoring technologies were assessed for their feasibility to collect data of the pedestrians and bicyclists in a number of locations in Southeastern Florida. In order to quantify the quality of provided services, the FAU team proposed use of the Highway Capacity Manual-based performance measures embedded in a spreadsheet populated with traffic data from the monitoring technologies.
The target audiences include engineers, researchers, and decision-makers who are interested to learn how to use advanced technologies to better understand and report performance measures of multimodal users on arterial streets.
- Provide an overview of performance measures used in the Automated Signal Performance Metrics Software (ASPMS).
- Learn about high-resolution event-logging capabilities of various controllers.
- Describe the process of defining minimum requirements for future high-resolution data-logging controllers.
- Understand performance measures used to quantify multimodal operations.
- Define necessary steps for “real-time” performance measure calculation.
Dr. Aleksandar Stevanovic, Associate Professor, Civil, Environmental, and Geomatics Engineering, Florida Atlantic University (FAU)
Dr. Stevanovic is Director of the Laboratory of Adaptive Traffic Operations and Management (LATOM) at FAU, and leader of the Infrastructure Systems program under FAU’s Institute for Sensing and Embedded Network Systems Engineering. Dr. Stevanovic conducts research in intelligent transportation systems, multimodal and sustainable operations, traffic signal control systems, and transportation simulation modeling. He has advised more than 30 graduate students (MSc and PhD) and four post-doctoral associates. He has published more than 100 journal and conference papers and has been a principal investigator on 20+ research projects for a total of ~ $3 million in funding. Dr. Stevanovic has been involved in several national industry panels and is a member of Transportation Research Board (TRB) AHB25 Committee for Traffic Signal Systems and several professional societies, such as the Institute of Transportation Engineers (ITE), American Society of Civil Engineers (ASCE), and others. Dr. Stevanovic is best known for his contributions in Adaptive Traffic Control Systems—the field where he has been involved in several key studies, worked with multiple real-world systems, and authored numerous publications. He earned his B.Sc. in Traffic and Transportation Engineering at the University of Belgrade (Serbia) followed by M.Sc. and Ph.D. degrees in Civil Engineering from the University of Utah.
Danilo Radivojevic, Graduate Research Assistant, Transportation Engineering, Florida Atlantic University
Mr. Radivojevic holds a BSc degree in Road Traffic and Transportation Engineering and an M.S. in Traffic Engineering from the University of Belgrade, Serbia. He worked in various engineering positions in Serbia prior to starting his 2nd M.S. degree research at the FAU Laboratory for Adaptive Traffic Operations and Management in 2015. His main research interests are traffic signal operations and management, adaptive traffic control systems, intelligent transportation systems, and traffic signal system evaluation methods. He recently won the 3rd prize in the Gold Coast IE 2016 Annual Book Scholarship competition for his paper, “From Present to Autonomous Vehicles Traffic Environment—What in the Meantime?”
Bratislav Ostojic, Graduate Research Assistant, Transportation Engineering, Florida Atlantic University
Mr. Ostojic holds BSc and M.S. degrees in Air Transportation, Faculty of Traffic and Transportation Engineering, from the University of Belgrade, Serbia. After graduation, he worked as a flight dispatcher for a private airline company (AirPink) in Serbia for a number of years. He joined FAU LATOM in 2015 for his 2nd M.S. degree in Civil/Transportation Engineering. His research interests include intelligent transportation systems, microsimulation, autonomous and connected vehicles, multimodal operations, and pedestrian and bicycle data collection. He is an active member of the ITE FAU Student Chapter.