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A model to identify urban traffic congestion hotspots in complex networks

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Academic year: 2020

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Figure

Figure 1. Illustration of the variables of the MCM model. (a) Vehicles entering junction i from the area surrounding i
Figure 2. Validation of the microscopic congestion model with Barabási–Albert (a,b) and Erdős–Rényi (c,d) networks of 1000 nodes and shortest path routing strategy
Figure 3. Congestion hotspot analysis of the city of Milan. Panel (a) shows the typical situation around 9.00 for a weekday
Figure 4. Statistics of Milan congestion hotspots. Panel (a) shows the distribution of the vehicle increments ( q i ) of each congestion hotspot predicted by the MCM

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