Grant: Canada Research Chairs
University of Alberta
$100,000.00
Cooperative Transportation Systems
FY 2024-25
Summary
Dr. Tony Qiu is a Professor in the Faculty of Engineering at the University of Alberta. He is the founder of the Centre for Smart Transportation, the scientific director for the Autonomous Systems Initiative, and the director of ACTIVE-AURORA–Canada’s first connected vehicle testbed network.
For the proposed Canadian Research Chair, the ACTIVE-AURORA testbed will be the platform used to conduct fundamental and applied research within a connected vehicle environment. Connected vehicles are vehicles capable of connecting wirelessly through Dedicated Short Range Communications or cellular networks to nearby devices. They play an important role in the advancement of the Internet of Things (IoT) and include many use cases ranging from connected entertainment systems to internet-connected vehicles that have bi-directional and network communication with other vehicles, mobile devices, and city intersections.
The overall goal of the proposed research is to advance the field of Intelligent Transportation Systems, and to provide a better fundamental understanding of connected vehicle technologies. Part of Dr. Qiu’s goal is ensuring that agencies are aware of different factors when integrating these technologies with existing transportation systems, so that the benefits of connected vehicle technologies can be effectively maximized. A second goal is to develop and evaluate innovative applications of connected vehicle technology to address transportation-related problems faced by agencies and drivers. A third goal is to train highly qualified academic and industry personnel by involving them in the proposed research, as well as in the development and application of the techniques and tools to be used.
The vision of the proposed Canada Research Chair program is to have vehicles and infrastructure in the transportation system operate in a fully integrated and highly automated environment that can help improve traffic mobility and safety in an optimized and reliable manner. In pursuit of this vision, Dr. Qiu has developed a lab simulation environment and three field test corridors that are fully operational on public roads in Edmonton. Over the next five years, the focus of the research program will be on realizing the long-term vision for data-driven traffic modelling and control, an area in which traffic management agencies need a more thorough understanding of the impact from evolving information and communication technology on both vehicles and infrastructure.
Program
Canada Research Chairs
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2021-00448
Name nom
Qiu, Zhijun
Department département
Civil and Environmental Engineering - University of Alberta
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2021
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF2010301
Field of research list names en
Traffic and highway engineering
Field of research list names fr
Génie de la circulation et génie autoroutier
Socioeconomic objective list codes
RDS10405
Socioeconomic objective list names en
Transport systems
Socioeconomic objective list names fr
Systèmes de transport
Application title
Cooperative Transportation Systems
Keywords
Traffic flow modeling; Traffic operation; Traffic signal control; Connected Vehicle; Automated Vehicle
Application summary
Dr. Tony Qiu is a Professor in the Faculty of Engineering at the University of Alberta. He is the founder of the Centre for Smart Transportation, the scientific director for the Autonomous Systems Initiative, and the director of ACTIVE-AURORA–Canada’s first connected vehicle testbed network.
For the proposed Canadian Research Chair, the ACTIVE-AURORA testbed will be the platform used to conduct fundamental and applied research within a connected vehicle environment. Connected vehicles are vehicles capable of connecting wirelessly through Dedicated Short Range Communications or cellular networks to nearby devices. They play an important role in the advancement of the Internet of Things (IoT) and include many use cases ranging from connected entertainment systems to internet-connected vehicles that have bi-directional and network communication with other vehicles, mobile devices, and city intersections.
The overall goal of the proposed research is to advance the field of Intelligent Transportation Systems, and to provide a better fundamental understanding of connected vehicle technologies. Part of Dr. Qiu’s goal is ensuring that agencies are aware of different factors when integrating these technologies with existing transportation systems, so that the benefits of connected vehicle technologies can be effectively maximized. A second goal is to develop and evaluate innovative applications of connected vehicle technology to address transportation-related problems faced by agencies and drivers. A third goal is to train highly qualified academic and industry personnel by involving them in the proposed research, as well as in the development and application of the techniques and tools to be used.
The vision of the proposed Canada Research Chair program is to have vehicles and infrastructure in the transportation system operate in a fully integrated and highly automated environment that can help improve traffic mobility and safety in an optimized and reliable manner. In pursuit of this vision, Dr. Qiu has developed a lab simulation environment and three field test corridors that are fully operational on public roads in Edmonton. Over the next five years, the focus of the research program will be on realizing the long-term vision for data-driven traffic modelling and control, an area in which traffic management agencies need a more thorough understanding of the impact from evolving information and communication technology on both vehicles and infrastructure.