Merge remote-tracking branch 'refs/remotes/origin/sections' into sections

Author: AldoCanfora

research/index.md

@@ -11,16 +11,16 @@ nav:
 - Network theory and random walks<br>
 We study the dynamics of complex networks using random walk models to explore node connectivity, community structure, and diffusion processes. Applications include urban infrastructure, mobility systems, and energy distribution.
 
-- Urban vehicular mobility modeling for Bologna<br>
-We develop large-scale simulations of traffic flow across Bologna’s street network to forecast congestion patterns and optimize traffic lights and routing strategies. The model integrates real traffic data and adaptive control mechanisms to improve urban mobility efficiency.
+- Urban vehicular mobility modeling<br>
+We develop large-scale simulations of traffic flow across various cities, e.g. Bologna, to forecast congestion patterns and optimize traffic lights and routing strategies. The model integrates real traffic data from heterogeneous sources and adaptive control mechanisms to improve urban mobility efficiency.
 
 - Railway delay prediction using Italian train data<br>
-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.
+We analyze national train schedules and historical delay records to build a simple model able to replicate the empirical distribution of delays. This model can be used to predict future delays and improve the reliability of the railway system.
 
 <h1 style="font-size: 3em;">Urban energy and vegetation</h1>
 
 - Building energy simulation<br>
-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.
+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 policymaking.
 
 - Urban vegetation analysis<br>
 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.