Opens in a new tab

Decisions for an uncertain world.

Combining prediction with optimization under uncertainty, from short-term operations to long-term planning.

Uncertainty Prediction

Systemic, environmental and behavioral disruption, quantified as it grows across timescales.

Behavioral aspects

Traveler preferences and their adaptation to new mobility solutions, estimated and updated with limited information.

Asset management Optimization

Managing transport assets and resources under uncertainty, from daily operations to long-term investment.

TRANSSIM

A multi-agent simulator connecting prediction, behavior and optimization across time scales.

About the project

What is TRANSFORM?

Multimodal passenger networks face constant pressure from new technologies, shifting business models, and growing urban density. Yet today's transport systems are designed in silos. Real-time disruption insight rarely informs long-term investment.

TRANSFORM is a five-year ERC research program that develops the first scientifically grounded framework to bridge those silos: coordinating operators, infrastructure authorities, and travelers through three integrated pillars.

Hosted at TU Delft, led by Associate Professor Shadi Sharif Azadeh, with a team of three PhD researchers and two postdoctoral fellows.

Closed-loop integration between prediction, behavior, optimization and simulation, connected to historical and new data.