Zhijun Qiu, PhD

Area of Study / Keywords

Transportation Engineering Intelligent Transportation Systems Connected and Automated Vehicles Traffic Operation

About

Education

• University of Wisconsin Madison, USA
  Ph.D in Civil and Environmental Engineering, May 2007
  Dissertation Title: Real-time macroscopic traffic state estimation for large scale freeway network using wireless network data
• Tsinghua University, Beijing, P.R.China
  M.S. in Intelligent Transportation System, Dec 2003
  Dissertation Title: Real-time traffic state detection with feature-based tracking method using image processing technology
• Tsinghua University, Beijing, P.R.China
  B.S. in Control Science and Engineering, July 2001
  Dissertation Title: Automatic vehicle type recognition and classification for ITS using laser detection technology

Professional Experience

• 2023 - Present University of Alberta; Edmonton, Alberta, Canada
  Canada Research Chair in Cooperative Transportation Systems (2nd Term)
• 2020 - Present University of Alberta; Edmonton, Alberta, Canada
  NSERC Industrial Research Chair in Intelligent Transportation Systems
• 2018 - 2023 University of Alberta; Edmonton, Alberta, Canada
  Canada Research Chair in Cooperative Transportation Systems (1st Term)
• 2009 - Present University of Alberta; Edmonton, Alberta, Canada
  Assistant Professor, Associate Professor and Full Professor in Department of Civil and Environmental Engineering
• 2008 - 2009 University of California; Berkeley, California, USA
  Post-Doctoral Researcher in California Partners for Advanced Transit and Highways (PATH)
• 2007 - 2008 University of Wisconsin; Madison, Wisconsin, USA
  Post-Doctoral Researcher in Wisconsin Traffic Operations and Safety (TOPS) Lab

Awards

• 2016 TRB Truck and Bus Safety Committee Deborah Freund Paper Award, awarded by Transportation Research Board
• 2016 ITS Canada Award in the category of New Canadian Commercial/Industry/Academic Technology Innovation/R&D, awarded by ITS Canada
• 2016 Second Best Poster Award, awarded at NSERC DIVA Workshop
• 2015 Faculty of Engineering Research Award, awarded by University of Alberta
• 2013 Minister's Award of Excellence for Process Innovation, awarded by Government of Alberta
• 2012 Best Paper Award, awarded at Annual CSCE Conference: 9th International Transportation Special Conference
• 2007 Best Poster Award, awarded at World Conference on Transport Research (WCTR)

Research

Research Interests

Dr. Qiu’s research focuses on developing new algorithms and information technologies to model and optimize the operations of practical roadway network. In order to improve roadway mobility and safety for both arterial and freeway network, Dr. Qiu and his team has had the expertise and success in the following areas:

• Intelligent Transportation Systems
• Urban Traffic Big Data
• Connected and Automated Vehicles
• Traffic Flow Theory
• Traffic Operation and Control

Research Currently in Progress

The overall objective of Dr. Qiu’s research team is to enhance our understanding of roadway traffic operation and control, provide a foundation and guidance for deploying and operating next-generation Advanced Traffic Management Systems, provide a tool for traffic management agencies to real-time choose optimized control strategies to avoid or mitigate congestion, enhance efficiency and improve safety. Dr.Qiu’s current research projects include:

• Development of ACTIVE-AURORA Connected Vehicle Test Bed, first in Canada
• Connected Vehicle Based Traffic Dynamic Modeling and Proactive Freeway Control to Improve Mobility
• Review and Development of Framework for Big Data and Analytics in Transportation
• Emerging Technology Evaluation and Prototype Development to Improve Alberta's Transportation System

CIV E 614 - Traffic Operation and Control

Human factors, traffic control devices, signal warrants, principles of signalized intersections, signal timing, signal optimization and coordination, capacity, traffic delay, left turn, diamond interchange, unsignalized intersection, roundabouts, actuated control, incident management, freeway control.

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