Data Science · Modelling

Digital Twin for Population, Traffic & Energy

CO₂-reduction and cost-optimisation scenarios for Sarajevo, based on one consistent, data-driven model.

Challenge

Planners needed to understand how population growth and migration would affect traffic, energy use and CO₂ emissions across Bosnia and Herzegovina.

Approach

In collaboration with ETH Zürich, built three linked models: municipal population projections, a traffic model (vehicle-km from population and infrastructure) and an energy-demand model with sector breakdown, then ran growth and policy scenarios.

Result

CO₂-reduction and cost-optimisation scenarios for Sarajevo, based on one consistent, data-driven model.

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