Grant: CCI Applied Research and Development Grants
Sheridan College Institute of Technology and Advanced Learning
$80,000.00
Predictive Maintenance Using Machine Learning Towards Safer Operation of Autonomous Vehicles.
FY 2024-25
Summary
New technologies and business models built around autonomous vehicles and connected vehicles (AV/CV) will transform our society in ways unseen since the invention of automobiles itself. It is expected that AV/CV will bring significant benefits to Canadians. The predicted impact will be seen on the automobile industry, health, welfare, urban planning, traffic, insurance, labour market, and many other areas. According to the Conference Board of Canada, the estimated total economic benefit of AV/CVs may be over $65 billion, resulting from fewer collisions, less traffic congestion, lower fuel costs, and better environment.
Despite their perceived benefits, AV/CVs present potential challenges as an unchartered territory for all stakeholders. In its ‘Safety Framework for Automated and Connected Vehicles’, Transport Canada (TC) has identified that the ‘Autonomous Safety’ is paramount to successfully designing and deploying AV/CVs. Present day regulations and standards are not adequate for the new paradigm of autonomous vehicles.
In this proposed project, Rogers Communications Inc. and Sheridan College’s Centre for Mobile Innovation (CMI), are partnering to investigate the use of machine learning (ML) for optimizing vehicle maintenance in the era when connected vehicles are gradually becoming the primary mode of transportation. We aim to develop a proof-of-concept that integrates several key technologies such as universal in-car communication platforms for autonomous vehicles, 5G cellular network, and ML. Leveraging Rogers’ 5G network, mobile edge cloud, and test beds, this research will investigate and identify previously unknown technological challenges of development and deployment of AV/CVs.
CMI has long experience in building software solutions using cutting-edge technologies such as mobile, Internet of Things (IoT), Artificial Intelligence/Machine Learning/Deep Learning, wearable computing, and Augmented/Virtual Reality (AR/VR). Rogers, being a leading cellular and infrastructure network provider with extensive market penetration, is strategically positioned to develop and deploy such interconnected, integrated systems.
This proposed research will offer substantial Research Assistant (RA) opportunities for Sheridan students from mobile computing and computer science programs. The RAs will enhance their academic and work readiness skills through their involvement in all research activities and their direct interaction with CMI and Rogers’ team.
Program
CCI Applied Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CCARD-2022-00705
Name nom
Mowat, Vicki
Department département
Research - Sheridan College (Sheridan College Institute of Technology and Advanced Learning)
Organization id
22156
Institution établissement
Sheridan College Institute of Technology and Advanced Learning
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
80000
Program id
CCARD
Program name en
CCI Applied Research and Development Grants
Program name fr
ICC Subventions de recherche et développement appliquée
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
nan
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
RDF1020402
Field of research list names en
Networking and communications
Field of research list names fr
Réseautage et communications
Socioeconomic objective list codes
RDS10406
Socioeconomic objective list names en
Communication technologies, systems and services
Socioeconomic objective list names fr
Technologies, systèmes et services de communication
Application title
Predictive Maintenance Using Machine Learning Towards Safer Operation of Autonomous Vehicles.
Keywords
Predictive Maintenance ; Machine Learning ; Autonomous Vehicles ; Control Area Network (CAN) Bus ; On-board Diagnostics (OBD) ; 5G Networks ; Cloud Computing ; Edge Computing ; Distributed Computing ; Integrated System
Application summary
New technologies and business models built around autonomous vehicles and connected vehicles (AV/CV) will transform our society in ways unseen since the invention of automobiles itself. It is expected that AV/CV will bring significant benefits to Canadians. The predicted impact will be seen on the automobile industry, health, welfare, urban planning, traffic, insurance, labour market, and many other areas. According to the Conference Board of Canada, the estimated total economic benefit of AV/CVs may be over $65 billion, resulting from fewer collisions, less traffic congestion, lower fuel costs, and better environment.
Despite their perceived benefits, AV/CVs present potential challenges as an unchartered territory for all stakeholders. In its ‘Safety Framework for Automated and Connected Vehicles’, Transport Canada (TC) has identified that the ‘Autonomous Safety’ is paramount to successfully designing and deploying AV/CVs. Present day regulations and standards are not adequate for the new paradigm of autonomous vehicles.
In this proposed project, Rogers Communications Inc. and Sheridan College’s Centre for Mobile Innovation (CMI), are partnering to investigate the use of machine learning (ML) for optimizing vehicle maintenance in the era when connected vehicles are gradually becoming the primary mode of transportation. We aim to develop a proof-of-concept that integrates several key technologies such as universal in-car communication platforms for autonomous vehicles, 5G cellular network, and ML. Leveraging Rogers’ 5G network, mobile edge cloud, and test beds, this research will investigate and identify previously unknown technological challenges of development and deployment of AV/CVs.
CMI has long experience in building software solutions using cutting-edge technologies such as mobile, Internet of Things (IoT), Artificial Intelligence/Machine Learning/Deep Learning, wearable computing, and Augmented/Virtual Reality (AR/VR). Rogers, being a leading cellular and infrastructure network provider with extensive market penetration, is strategically positioned to develop and deploy such interconnected, integrated systems.
This proposed research will offer substantial Research Assistant (RA) opportunities for Sheridan students from mobile computing and computer science programs. The RAs will enhance their academic and work readiness skills through their involvement in all research activities and their direct interaction with CMI and Rogers’ team.