Research summary
Connected and autonomous (self-driving) vehicles present tremendous opportunities. For instance, these vehicles can collect and share information with drivers, devices, other vehicles, and infrastructure, such as roadways and traffic lights. This hyperconnected web of reciprocity enables integrative decisions that take into account individual travellers’ needs while also meeting system-wide objectives.
As Canada Research Chair in Integrative Transportation Systems Through Automation and Connectivity, Dr. Lina Kattan aims to provide ground-breaking solutions for urban transportation networks by developing new concepts, policies, models, methodologies and algorithms. To do this, she and her research team are capitalizing on advances 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. Their research will have important implications for the Canadian economy and for training the next generation of transportation policy-makers, researchers, academics and engineers.