Decisions for an uncertain world.

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

01

Uncertainty

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

02

Behaviour

Traveller preferences and their adaptation to new mobility solutions, estimated and updated without re-running surveys.

03

Resilience

Systems that absorb disruption and use scarce resources efficiently, remaining usable under varying conditions.

04

Decision-making

The closed-loop integration of estimate-then-optimise, in which operations and strategy inform one another.

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 programme that develops the first scientifically grounded framework to bridge those silos — coordinating operators, infrastructure authorities, and travellers 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.

OPERATORSTransit & MobilityINFRASTRUCTURENetwork AuthoritiesTRAVELLERSBehaviour & DemandTRANSFORM

How the research is organised.

Four work packages — three vertical objectives plus a cross-cutting uncertainty workbench.

WP0

Uncertainty quantification & impact assessment

Cross-cutting workbench · PD1 · PD2 · PI

Cross-cutting work that identifies uncertainty sources and powers TRANSSim, a new multi-agent simulator extending MaaSSim with network adaptation and centralized trip recommendation across temporal scales. WP0 underpins all three vertical work packages, providing shared tools and validated uncertainty models.

Latest news.

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June 12, 2026
Programme

TRANSFORM awarded an ERC Consolidator Grant; programme begins at TU Delft

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June 12, 2026
Publication

A short-term predict-then-cluster framework for resource availability under disruption

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June 12, 2026
Open positions

Three PhD positions and two postdoctoral fellowships open across the four themes

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