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@@ -16,11 +16,11 @@ We develop large-scale simulations of traffic flow across Bologna’s street net
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- Railway delay prediction using Italian train data<br>
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We analyze national train schedules and historical delay records to build predictive models of late arrivals. Machine learning techniques and network-based metrics are used to identify systemic issues and improve schedule reliability.
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- Building energy simulation and classification<br>
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- Building energy simulation<br>
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We simulate energy consumption for the buildings in Bologna based on their geometry and age. The output is used to map the city’s most energy-demanding and polluting zones, supporting decarbonization strategies and policy-making.
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- Urban vegetation analysis with LiDAR data<br>
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- Urban vegetation analysis<br>
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We extract information on urban trees using airborne LiDAR, including segmentation of individual trees and updates of tree features such as height and crown radius. This helps maintain accurate vegetation inventories and assess urban green coverage.
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- Urban Heat Island (UHI) analysis with SVF and morphology parameters<br>
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- Urban Heat Island (UHI) analysis<br>
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We study the urban heat island effect using spatial variables like Sky View Factor (SVF). The aim is to understand microclimate variation across urban zones and identify heat-vulnerable areas for climate adaptation planning.
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