Control, Optimization & Planning

Control, Optimization, Planning will aim at the development of new, scalable, robust, and efficient real-time algorithms long-term policies to improve the operations of transportation systems in a multi-modal, city-wide setting. Efficiency, robustness to disruptions, customer satisfaction will be key drivers in this pillar, as well as sustainability, environmental impact, and flexibility to technological, social, and geopolitical changes.


This research pillar consist of 2 research areas:


Shared City

Real-Time Mobility Estimation, Prediction & Control