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Grant: Alliance Grants

The University of British Columbia

$100,000.00

Artificial Intelligence for Smart Cities and Intelligent Transportation

FY 2024-25

Summary
As the world becomes increasingly connected through the ubiquitous deployment of telecommunication infrastructure, information and communication technologies (ICT) are advancing at a quick pace to improve the well-being of humankind. With the global trend of urbanization, it becomes critical to leverage ICT to make cities smarter and more sustainable, especially in the transportation sectors due to their large carbon footprints and big impacts on citizens' everyday life. In this project, we team up with TELUS to develop technological innovations that will exploit advances in artificial intelligence, digital media and communications for smart cities, focusing on solutions for intelligent transportation. In particular, leveraging advances in artificial intelligence (AI), we shall develop innovative solutions for collaborative autonomous driving, detection of road conditions, deteriorations and hazards, detection of available street parking, and detection and interpretation of traffic and parking signs, aiming at increased accuracy in decision making of autonomous vehicles and improved driving conditions for human-driven and autonomous vehicles, traffic reduction and decreased pollution. These solutions will be built upon an emerging advanced network computing infrastructure based on intelligent collaboration of multiple levels of edge and cloud computing. We shall also develop novel solutions that make such an intelligent infrastructure efficient, secure and adaptable. TELUS is committed to providing substantial financial and human resources, as well as strategic guidance, to make this project a success not only in knowledge generation but in opening new business opportunities. The commercialization of the outcomes of this project will significantly boost the Canadian economy, particularly in the transportation and ICT sectors, which together account for close to 10% of the Canadian GDP. The continued growth of these sectors requires a substantial injection of Highly Trained Personnel (HQP) that is trained in the latest AI techniques, which is another important outcome of this project.
Program
Alliance Grants
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
576255-2022
Name nom
Nasiopoulos, Panos P
Department département
Electrical and Computer Engineering
Organization id
2
Institution établissement
The University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
100000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2708
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Image processing
Research subject fr
Traitement des images
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Artificial Intelligence for Smart Cities and Intelligent Transportation
Keywords
artificial intelligence; autonomous driving; deep learning; digital video; edge and cloud computing; intelligent transportation; road condition detection; smart city; traffic signs and parking detection; v2x perceptual collaboration
Application summary
As the world becomes increasingly connected through the ubiquitous deployment of telecommunication infrastructure, information and communication technologies (ICT) are advancing at a quick pace to improve the well-being of humankind. With the global trend of urbanization, it becomes critical to leverage ICT to make cities smarter and more sustainable, especially in the transportation sectors due to their large carbon footprints and big impacts on citizens' everyday life. In this project, we team up with TELUS to develop technological innovations that will exploit advances in artificial intelligence, digital media and communications for smart cities, focusing on solutions for intelligent transportation. In particular, leveraging advances in artificial intelligence (AI), we shall develop innovative solutions for collaborative autonomous driving, detection of road conditions, deteriorations and hazards, detection of available street parking, and detection and interpretation of traffic and parking signs, aiming at increased accuracy in decision making of autonomous vehicles and improved driving conditions for human-driven and autonomous vehicles, traffic reduction and decreased pollution. These solutions will be built upon an emerging advanced network computing infrastructure based on intelligent collaboration of multiple levels of edge and cloud computing. We shall also develop novel solutions that make such an intelligent infrastructure efficient, secure and adaptable. TELUS is committed to providing substantial financial and human resources, as well as strategic guidance, to make this project a success not only in knowledge generation but in opening new business opportunities. The commercialization of the outcomes of this project will significantly boost the Canadian economy, particularly in the transportation and ICT sectors, which together account for close to 10% of the Canadian GDP. The continued growth of these sectors requires a substantial injection of Highly Trained Personnel (HQP) that is trained in the latest AI techniques, which is another important outcome of this project.