A closed loop between prediction and decision.
TRANSFORM uses a single estimate-then-optimise framework that couples predictive models with optimisation under uncertainty, closing the loop so that operations and planning inform one another.
Work packages
How the research is organized.
Four work packages: three research objectives supported by a cross-cutting uncertainty and simulation workbench.
Uncertainty quantification & impact assessment
Cross-cutting work that identifies uncertainty sources and powers TRANSSim, a new multi-agent simulator with network adaptation and centralized trip recommendation across temporal scales.
Multimodal supply management under uncertainty
Innovative forecasting methods for predicting resource availability integrated with a real-time optimization framework for centralized service scheduling and dispatching. The aim of this work package is to manage assets and resources in the short term under uncertain environmental factors.
Multimodal demand management under uncertainty
Behavioral parameter adaptation against environmental change and demand management strategies that can steer service users toward available resources. The aim of this work package is to match supply and demand in the short term.
Long-term multimodal network expansion
A robust estimate-then-optimize framework that connects short-term operational evidence to strategic adaptation under deep uncertainty. In this work package we focus on long-term planning under uncertain environments.