Workshop On Intelligent Transportation: Technology, Trends and Practices in Next-Gen Traffic Management

April 6, 2018 (Friday), 8:00 AM - 3 PM

Venue: Barbara Weitz Community Engagement Center, University of Nebraska, Omaha (Directions)


Workshop registration is complimentary but required. Please click here to register (via Eventbrite).

Travel and Parking

Information on travel, accommodations and parking is available on the workshop's Travel and Parking page

Workshop Program

The workshop will feature presentations and panel discussions from federal agencies, academia and industry.

8:00 - 9:00: Continental breakfast and networking

9:00 - 9:10: Welcome and introductions by workshop organizers

9:10 - 9:20: Welcome Remarks: Richard Sincovec, Office of the Executive Vice President and Provost, University of Nebraska

9:20 - 9:30: Welcome Remarks: Scott Snyder, Vice Chancellor for Research & Creative Activity, University of Nebraska, Omaha

9:30 - 10:15: Agency Keynote 1: Govindarajan Vadakpat, (Web) U. S. Department of Transportation, Federal Highway Administration

Title: Connected Vehicles Deployment Project (Presentation Slides)

10:15 - 11:00: Agency Keynote 2: Jonathan Sprinkle, (Web) NSF Program Director, Smart and Connected Communities

Title: NSF Solicitations and the Research Portfolio within Cyber Physical Systems and Smart & Connected Communities Programs (Further information: CPS PI Meeting Presentations from CPS-VO Website, NSF Cyber Physical Systems Solicitation)

11:00 - 11:15: Coffee Break/Networking

11:15 -11:45: Research Talk 1: Marcus Johnson, NASA (Ames Research Center), Deputy Project Manager, Unmanned Aerial Systems Traffic Management, NASA UTM Website (Remote)

Title: Unmanned Aircraft System (UAS) Traffic Management (UTM): Safely enabling low-altitude airspace operations

11:45 - 12:15: Research Talk 2: Richard Massaro, (Web) U.S. Army Engineer Research and Development Center

Title: Full Motion Video-to-3D and Soldier-Deployable Geospatial Technologies (Presentation Slides)

12:15 - 12:30: Industry Talk1: Blackmore Sensors and Analytics, Inc.

Title: FMCW Lidar: Lidar Enters the Modern Era”

12:30 - 1:30: Lunch (included in registration) and networking

1:30 - 2:00: Breakout sessions

2:00 - 2:45: Panel discussions based on breakout session topics

2:45 - 3:00: Future Directions and Closing Remarks

Workshop Goals

The goal of the workshop is to identify existing issues and challenges, and disseminate research ideas for next generation, intelligent traffic monitoring and management systems. The workshop will feature keynote addresses, short presentations and panel discussion by eminent researchers, federal agency program officers, and industry stakeholders focusing on intelligent transportation technology, best practices, and future trends. The workshop is intended for faculty, researchers, students and practitioners interested in smart and autonomous systems, cyber physical systems and related areas including artificial intelligence, wireless communication, and energy-aware computing - focusing around the theme of intelligent transportation and traffic management.

Workshop Organizers

  • Prithviraj (Raj) Dasgupta Professor, Computer Science Department, University of Nebraska, Omaha
  • Hamid Sharif Professor, Electrical and Computer Engineering Department, University of Nebraska-Lincoln
  • Aemal Khattak Professor, Civil Engineering Department, University of Nebraska-Lincoln


Our vision is to develop novel techniques and algorithms that will enable multiple, mobile air-borne sensors (e.g., camera, LIDAR) integrated on unmanned aerial vehicles (UAVs), and ground sensors located at strategic locations (e.g., busy traffic intersections, inside traffic tunnels) to autonomously and intelligently coordinate with each other and with central command and control centers via wireless communication, towards collecting real-time traffic information and using that information to pro-actively improve traffic congestion.

Our team's objective is to focus on three inter-disciplinary research areas towards achieving our vision:

  • Artificial intelligence(AI)-based real-time coordination techniques between aerial and ground sensor nodes for dynamic asset (mobile sensor) allocation to achieve improved coverage and surveillance of traffic movement within a region of interest.
  • Energy-aware, wireless communication strategies and protocols to enable robust, reliable and secure information exchange between aerial-ground sensor nodes for seamless operation of system in zero to low communication zones.
  • Urban traffic data collection using the aforementioned techniques and analysis to proactively mitigate traffic congestion situations.


The organizers are grateful to Nebraska Research Initiative - NU Collaboration Initiative Planning grant for sponsoring the workshop.