Responsible AI for Sustainable Urban Mobility
2023–ongoing
Participatory co-design of AI-powered travel recommendation systems that are transparent, fair, and aligned with the sustainability goals of diverse urban stakeholders.
Learn more →Maria Chli
Active and completed research initiatives spanning multi-agent systems, intelligent transportation, and smart cities.
2023–ongoing
Participatory co-design of AI-powered travel recommendation systems that are transparent, fair, and aligned with the sustainability goals of diverse urban stakeholders.
Learn more →2022–ongoing
Game-theoretic models for optimising the placement and pricing of EV charging stations at city scale, balancing operator revenue, user welfare, and grid stability.
Learn more →2019–ongoing
Optimal auction theory for the gradual, incentive-compatible procurement of strategic service-provider agents, with applications to outsourcing and platform economics.
Learn more →2019–2023
Cooperative multi-agent reinforcement learning approaches to coordinating traffic signals across multiple road intersections, demonstrated on live camera feeds.
Learn more →2018–2024
An open-source, photorealistic 3D traffic simulation environment for training and evaluating reinforcement learning agents under realistic urban traffic conditions.
Learn more →