Data-driven Transport Modelling in Urban Areas

Melbourne Centre for Data Science invites you to a talk by visiting academic Dr Minh Kieu (University of Auckland).

This talk will explore cutting-edge approaches in transport analytics and social simulation models, offering valuable insights into how these tools can improve urban transport systems and enhance city resilience.

By discussing topics such as synthetic data generation, agent-based modeling, and wireless charging technologies for autonomous vehicles, this talk will be relevant to urban planners, data scientists, transport engineers, and policymakers. It will also benefit those in adjacent fields who are interested in how data-driven solutions can address urban mobility challenges, improve well-being, and contribute to more sustainable, adaptable cities.

Date: Tue 22 Oct
Time: 11am - 1pm AEDT (11am - 12pm talk, 12pm - 1pm social lunch)
Location: Manhari Room, Level 7, Melbourne Connect, 700 Swanston St, Carlton VIC 3053
Event type: in person only

Speaker:

Dr Minh Kieu
Lead, Transport Analytics Research Lab (TARLab)
Lead, Future and Intelligent Transport Systems, Transport Research Centre
Program Director, Postgraduate Study in Civil Engineering, Faculty of Engineering
University of Auckland

Talk Title: Data-driven Transport Modelling in Urban Areas

This talk will delve into the fields of transport analytics and social simulation models, focusing on their potential to address complex challenges in urban mobility and societal resilience. Topics include the use of synthetic data and advanced modeling techniques to improve transport systems and well-being, as well as global perspectives on risk and resilience. The application of technologies such as dynamic wireless charging for autonomous vehicles and innovative agent-based modeling approaches will also be discussed. The talk will highlight how these methods contribute to sustainable, data-driven solutions for future cities, with a call for collaboration to further these efforts.