Grant: CCI Applied Research and Development Grants
Sheridan College Institute of Technology and Advanced Learning
$80,000.00
Improving Urban Planning through AI, Simulation and Visualization
FY 2024-25
Summary
In 2021, nearly three out of four Canadians (73.7%) lived in one of Canada's large urban centres. Urbanization continues in Canada as the population growth of suburban cities outpaced projected growth. Municipalities nearest to urban areas grew at rates between 20% to over 44% in the last five years. Strategic and effective urban planning is critical to help cities grow sustainably and improve accessibility, livability and quality of life. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) are emerging as powerful new approaches to support urban decision-making in view of vast increases in data availability, processing speeds, and popularity and development of planning-related applications.
Urban planning processes necessitate the integration of multiple convoluted elements, including mobility data. Mobility data can be obtained from sources such as Global Positioning System (GPS), transportation logistics, video camera feeds, social media, sensors, and other system data. Analysis of public transportation data can help understand journey patterns across the transportation network, making better planning decisions for transportation services. Also, the effective planning of multimodal transportation can improve the integration with active mobility to reduce travel time and greenhouse gas emissions and improve the quality of life for residents.
The Sheridan College's Centre for Mobile Innovation (CMI) and Naryant, legally known as Inovex, are partnering to create an AI/ML-enabled prototype that simulates and visualizes mobility to support urban planning decision-making. The partnership will add value to Naryant's portfolio of services, allowing them to attract more clients and increase their market competitiveness. Sheridan students will have the opportunity to gain hands-on experience and skills through involvement as research assistants and direct interaction with the company. Overall, the applied research will enhance the learning experience for both students and faculty at Sheridan.
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-2022-00706
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
RDF1020602
Field of research list names en
Modelling and simulation in information systems
Field of research list names fr
Modélisation et simulation des systèmes d'information
Socioeconomic objective list codes
RDS10610
Socioeconomic objective list names en
Information systems, technologies and services
Socioeconomic objective list names fr
Systèmes, technologies et services d'information
Application title
Improving Urban Planning through AI, Simulation and Visualization
Keywords
Transportation; Visualization and Simulation; Artificial Intelligence; Machine Learning and Deep Learning; Testing and Validation; App Design; Applied Research; Training; Urban Planning
Application summary
In 2021, nearly three out of four Canadians (73.7%) lived in one of Canada's large urban centres. Urbanization continues in Canada as the population growth of suburban cities outpaced projected growth. Municipalities nearest to urban areas grew at rates between 20% to over 44% in the last five years. Strategic and effective urban planning is critical to help cities grow sustainably and improve accessibility, livability and quality of life. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) are emerging as powerful new approaches to support urban decision-making in view of vast increases in data availability, processing speeds, and popularity and development of planning-related applications.
Urban planning processes necessitate the integration of multiple convoluted elements, including mobility data. Mobility data can be obtained from sources such as Global Positioning System (GPS), transportation logistics, video camera feeds, social media, sensors, and other system data. Analysis of public transportation data can help understand journey patterns across the transportation network, making better planning decisions for transportation services. Also, the effective planning of multimodal transportation can improve the integration with active mobility to reduce travel time and greenhouse gas emissions and improve the quality of life for residents.
The Sheridan College's Centre for Mobile Innovation (CMI) and Naryant, legally known as Inovex, are partnering to create an AI/ML-enabled prototype that simulates and visualizes mobility to support urban planning decision-making. The partnership will add value to Naryant's portfolio of services, allowing them to attract more clients and increase their market competitiveness. Sheridan students will have the opportunity to gain hands-on experience and skills through involvement as research assistants and direct interaction with the company. Overall, the applied research will enhance the learning experience for both students and faculty at Sheridan.
