T3e Webinar Overview

A Digital Twin for Traffic Monitoring and Proactive Incident Management

Date: Tuesday, May 11, 2021
Time: 1:00 PM – 2:15 PM ET
Cost: All T3e webinars are free of charge.
PDH: 1.0 View PDH Policy

Register now for this webinar

T3 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 (USDOT) 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 USDOT.


Background

The U.S. Department of Transportation (USDOT) is hosting a series of webinars on emerging academic research in various aspects of intelligent transportation systems or smart communities. This 90-minute webinar will present the work by the University of Alabama that develops a digital twin for live traffic monitoring and models to support proactive traffic incident management. The research is funded by USDOT’s Advanced Transportation and Congestion Management Technologies Deployment (ATCMTD) Program through the West Central Alabama Advanced Connected Transportation Infrastructure & Operations Network (ACTION) initiative—Alabama Department of Transportation (ALDOT) and Alabama Transportation Institute (ATI).

Target Audience

The target audience includes researchers and practitioners from the public sector, private sector, and academia that deal with transportation systems management and operations.

Learning Objectives

Objectives of this webinar are that the audience will gain an understanding about:

  • A digital twin for traffic monitoring:
    • A networkwide traffic simulation based on real-time detector data
    • Traffic signal optimization for connected vehicles
  • Proactive traffic incident management:
    • Identifying traffic incidents based on probe vehicle data
    • Estimating the impacts of traffic incidents on traffic flows

Hosts

Dr. Jun Liu, Assistant Professor, Department of Civil, Construction, and Environmental Engineering, College of Engineering, University of Alabama
Jun Liu Dr. Jun Liu is an Assistant Professor of Transportation Engineering at the University of Alabama. His research interests include intelligent transportation systems, connected/automated vehicles, highway safety, transportation planning, and sustainable transportation. He has expertise in large-scale data analytics, traffic simulation, agent-based modeling, spatiotemporal modeling, and statistical analysis. Dr. Liu has served as the principal investigator, co-principal investigator, or key researcher of a broad range of projects sponsored by agencies including the National Science Foundation, USDOT, U.S. Department of Energy (DOE), AAA Foundation, and State DOTs (Alabama, Georgia, Tennessee, Texas, and Virginia). Dr. Liu has authored or co-authored over 150 publications, including refereed journal papers, book chapters, technical reports, and conference papers. He serves on the panel for NCHRP 20-102(22). He is a handling editor for the Transportation Research Record and an assistant editor for the Journal of Intelligent Transportation Systems. Previously, Dr. Liu worked for the University of Texas at Austin and the Virginia Department of Transportation.

Dr. Alex Hainen, Associate Professor, Department of Civil, Construction, and Environmental Engineering, College of Engineering, University of Alabama
Alex Hainen Dr. Alex Hainen is an Associate Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Alabama. He has authored 30 peer-reviewed journal articles and 20 additional conference proceedings. Dr. Hainen is a member of the Institute for Transportation Engineers, the American Society of Civil Engineers, and is Secretary of the Transportation Research Board Utilities Committee. His research interests include traffic signals, transportation operations, travel mobility, and airport engineering. He has worked with DOE, USDOT, and State DOTs in Michigan, Indiana, Utah, and Alabama, as well as with George Bush Intercontinental Airport (IAH) and Cincinnati/Northern Kentucky International Airport (CVG). He is currently working on a USDOT-sponsored project deploying an advanced connected transportation infrastructure and operations network in the West Alabama region.

Student Presenters

Xing Fu, PhD Candidate, Department of Civil, Construction, and Environmental Engineering, College of Engineering, University of Alabama
Xing Fu Xing Fu is a PhD candidate in Transportation Engineering at the University of Alabama. Mr. Fu works with Dr. Jun Liu and his research interests include connected/automated vehicles, intelligent transportation systems, connected and autonomous vehicles, and highway safety. He focuses his statistical and machine-learning knowledge investigating connected and autonomous vehicle data and had 10 peer-reviewed conference proceedings at the 2021 Transportation Research Board (TRB) Annual Meeting and the Automated Vehicles Symposium (AVS), among others.

Md Abu Sufian Talukder, PhD Candidate, Department of Civil, Construction, and Environmental Engineering, College of Engineering, University of Alabama
Md Abu Sufian Talukder Md Abu Sufian Talukder is a PhD candidate in Transportation Engineering at the University of Alabama. Sufian works with Dr. Alex Hainen. His research interests include traffic signal operation and connected vehicle systems. He has published papers in premier transportation journals and has presented his research at Transportation Research Board annual meetings. He is the current president of the student chapter of the Institute of Transportation Engineers (ITE) at the University of Alabama.

Dr. Qifan Nie, Postdoctoral Researcher, Alabama Transportation Institute, University of Alabama
Qifan Nie Dr. Qifan Nie is a postdoctoral researcher at the Alabama Transportation Institute (ATI). His research interests include innovations related to intelligent transportation systems, shared mobility, connected and automated vehicles, transportation planning, highway safety and operation, geographic information systems, and sustainable transportation. Dr. Nie is passionate about using advanced data mining techniques to address transportation issues and envision the future. Dr. Nie has published several papers in top transportation journals and has been involved in both Federal and State DOT-funded projects. Dr. Nie has also presented at many regional, national, and international conferences.

Zihe Zhang, PhD Candidate, Department of Civil, Construction, and Environmental Engineering, College of Engineering, University of Alabama
Zihe Zhang Zihe Zhang is a PhD candidate in Transportation Engineering at the University of Alabama. Zihe works with Dr. Jun Liu, and her research interests include shared mobility, connected and automated vehicles, transportation planning, highway safety, and operations. She focuses on using multiple data mining techniques and tools to solve real-world transportation problems. She has published two papers in transportation journals and had six peer-reviewed conference proceedings at the 2021 Transportation Research Board Annual Meeting.

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