T3e Webinar Overview
Modeling Dispatchers Managing Intelligent Transportation Systems
Date: Wednesday, July 18, 2018
Time: 12:00 PM – 1:00 PM ET
Cost: All T3e webinars are free of charge
PDH: 1.0 View PDH Policy
T3e Webinars are brought to you by the Intelligent Transportation Systems (ITS) Professional Capacity Building Program (PCB) of the U.S. Department of Transportation’s (U.S. DOT) ITS Joint Program Office (JPO). The purpose of this webinar series is to provide a platform for students to share their research findings. 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.
Concepts of intelligent transportation systems (ITS) have gained popularity in recent years, with several manufacturers proposing designs for innovative vehicles. However, less attention has been placed on how these vehicles would be controlled and managed in network operations. Through the development of concepts of operations for remote management of fleets with heterogeneous levels of vehicle and network autonomy, this research presents preliminary requirements for ITS operations centers. The centers would interface with traffic control and be responsible for ensuring safe, efficient, and effective operations of networks. This effort identified key functional requirements related to vehicle safety for these futuristic concepts. Further, using data gathered from airline and railroad industry sources, this work introduces a predictive model of human-system performance in these operations centers. With this tool, individuals making strategic, tactical, and operational decisions can rapidly prototype future concepts of operations. This will help to better design the remote operations centers for staff dispatchers with consideration of human factors requirements.
The audience will learn about:
- Proposed preliminary requirements for ITS operations centers given heterogeneous levels of vehicle and network autonomy
- Key functional requirements for vehicle safety in an ITS operations center remote management scenario
- A predictive model of human-system performance in these future ITS operations centers
The target audience includes engineers, researchers, planners, and decision makers in transportation, robotics and automation, and individuals concerned with the impact of autonomous vehicles on our roads.
Mary (Missy) Cummings, Ph.D., Director of Duke Robotics and Humans & Autonomy Lab Professor of Engineering, Computer Science, and Brain Sciences
Dr. Mary (Missy) Cummings received her Ph.D. in Systems Engineering from the University of Virginia in 2004. Dr. Cummings is a professor in the Duke University Institute of Brain Sciences, Electrical and Computer Engineering, and Computer Science Departments. Dr. Cummings is the director of Duke Robotics and the Humans & Autonomy Laboratory.
Victoria Chibuogu Nneji, Ph.D. Candidate in Duke Robotics, Researcher in the Humans & Autonomy Lab
Victoria Chibuogu Nneji is a creative strategist and strategic creator passionate about mobility. Ms. Nneji graduated with a Master of Engineering Management at Duke University and B.S. in Applied Mathematics at Columbia University in New York City. As a Ph.D. candidate in Duke Robotics, her work spans trains, planes, and automobiles.