Grant: Canada Research Chairs
University of Calgary
$200,000.00
Integrative Transportation Systems through Automation and Connectivity
FY 2024-25
Summary
Connected and autonomous vehicles (CAVs) that can “see”, “talk”, “hear” and drive themselves are transforming the automobile from a purely “selfish mode” to a more “socially-aware” yet efficient one. Depending on how they are deployed, the emergence of CAVs will bring tremendous opportunities, complexities, challenges, and research needs. For instance, CAVs can collect and ubiquitously disseminate information in the traffic network through vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V) and vehicle-to-device and infrastructure-to-device (X2X) communication. This hyperconnected web of reciprocity will enable integrative decisions which are inclusive of individual travellers' needs while also meeting desired system-wide societal objectives.
This proposed CRC program in Integrative Transportation Systems aims to advance the theory and deployment of emerging transportation technologies in Canada to achieve the explicit objectives of improved efficiency, equity, reliability, and reduction of negative externalities. At the crux of this proposal are four synergistic CAV-based themes working in synchrony to shape CAV deployment into a “meaningful disruption” that meets the societal and sustainability aspirations of our future cities. These themes provide integrative solutions to design the next generation of traffic and transit control tools, devise novel accompanying policies, and instrument the road network to better predict travel demand fluctuation.
Our vision is to provide ground-breaking solutions for urban transportation networks by developing novel concepts, policies, models, methodologies and algorithms. Our scientific approach capitalizes on advancements in traffic flow theory, traffic management, transit control, network modelling and simulation, mathematical modelling and programming, game theory, agent-based modelling, data-driven insights, predictive analytics and machine learning.
This research has important implications for the Canadian economy and is vital for the multi-disciplinary training of the next generation of transportation policymakers, researchers, academics, and engineers. This research will thus directly and significantly contribute to the welfare of Canadians by enhancing equity, safety, accessibility and mobility, reducing emissions and diversifying the economy.
Program
Canada Research Chairs
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2021-00010
Name nom
Kattan, Lina
Department département
Civil Engineering - University of Calgary
Organization id
11
Institution établissement
University of Calgary
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
200000
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
Integrative Transportation Systems through Automation and Connectivity
Keywords
connected and autonomous vehicle; traffic flow modelling; travel demand management; traffic and transit operation; travel demand estimation and prediction; transportation equity and fairness; network sensor location; transportation network modelling and analysis; game theory; mathematical modelling and optimization
Application summary
Connected and autonomous vehicles (CAVs) that can “see”, “talk”, “hear” and drive themselves are transforming the automobile from a purely “selfish mode” to a more “socially-aware” yet efficient one. Depending on how they are deployed, the emergence of CAVs will bring tremendous opportunities, complexities, challenges, and research needs. For instance, CAVs can collect and ubiquitously disseminate information in the traffic network through vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V) and vehicle-to-device and infrastructure-to-device (X2X) communication. This hyperconnected web of reciprocity will enable integrative decisions which are inclusive of individual travellers' needs while also meeting desired system-wide societal objectives.
This proposed CRC program in Integrative Transportation Systems aims to advance the theory and deployment of emerging transportation technologies in Canada to achieve the explicit objectives of improved efficiency, equity, reliability, and reduction of negative externalities. At the crux of this proposal are four synergistic CAV-based themes working in synchrony to shape CAV deployment into a “meaningful disruption” that meets the societal and sustainability aspirations of our future cities. These themes provide integrative solutions to design the next generation of traffic and transit control tools, devise novel accompanying policies, and instrument the road network to better predict travel demand fluctuation.
Our vision is to provide ground-breaking solutions for urban transportation networks by developing novel concepts, policies, models, methodologies and algorithms. Our scientific approach capitalizes on advancements in traffic flow theory, traffic management, transit control, network modelling and simulation, mathematical modelling and programming, game theory, agent-based modelling, data-driven insights, predictive analytics and machine learning.
This research has important implications for the Canadian economy and is vital for the multi-disciplinary training of the next generation of transportation policymakers, researchers, academics, and engineers. This research will thus directly and significantly contribute to the welfare of Canadians by enhancing equity, safety, accessibility and mobility, reducing emissions and diversifying the economy.