Despite the plethora of tools and data available to transit planners, transit network design has remained mostly a manual task. Nevertheless, there have been many attempts to use algorithms and computing to optimise transit network design based on geography, demand and operating resources. However, the Transit Network Design Problem (TNDP) and Transit Network Design and Frequency Setting Problem (TNDFSP) remain challenging problems due to their NP-hard nature and the volume of data and computation required to produce good and realistic solutions.

Generative Design is an emerging design methodology that takes advantage of computational power and efficient solution generation methods to develop high-quality solutions for complex, multi-objective optimisation problems.

Under the supervision of Dr. Eric Miller, Kevin Wong has developed a framework that adopts the Generative Design methodology towards optimising transit network design, and examined ways to improve adaptability and applicability of the framework in real-world scenarios.

Kevin Wong is excited to begin 2022 by completing his Master’s degree in Civil Engineering at the University of Toronto and starting a new position as a transportation planner at IBI Group.

Having grown up geeking out over public transportation and being fascinated by applied mathematics, Kevin is fortunate to have opportunities to channel his passion towards planning for an efficient, sustainable and safe transportation system that prioritizes walking, rolling, and public transit.

Presented by University of Toronto ITE Student Chapter, UT-ITE.

Free. All are welcome.

If any specific accommodations are needed, please contact ite@utoronto.ca. Requests should be made as early as possible.

Join link: https://utoronto.zoom.us/s/81320181425. Please note that the same Zoom link will be used for all UT-ITE seminars this term.