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Professor Carolina Osorio presents ‘Efficient search in high-dimensional spaces: the case of Bayesian optimization for large-scale urban traffic control’

Online via Zoom

In this talk, we consider high-dimensional traffic signal control problems that arise in congested metropolitan areas. We focus on the use of high-resolution urban mobility stochastic simulators and formulate the control problems as high-dimensional continuous simulation-based optimization (SO) problems. We discuss the opportunities and challenges of designing SO algorithms for these problems. An important component in […]

Kevin Wong presents “Developing a generative design framework for optimising public transit network design”

Online via Zoom

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 […]

Seyed Mehdi Meshkani presents “A dynamic many-to-one ride-matching algorithm for shared mobility services on congested networks”

Online via Zoom

On-demand shared mobility is a promising and sustainable transportation approach that can mitigate vehicle externalities, such as traffic congestion and emission. On-demand shared mobility systems require matching of one (one-to-one) or multiple riders (many-to-one) to a vehicle based on real-time information. We propose a novel Graph-based Many-to-One ride-Matching (GMOMatch) algorithm for the dynamic many-to-one matching […]

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