Table 1 Classification of segments using community detection. Analysis of similarity networks for (a) \(H=0.357\) and (b) \(H=0.05\). The number of segments in each community is reported with the average degree \(\langle k\rangle\), global clustering \(\langle C\rangle\), and average lengths \(\langle l \rangle\) of the shortest path connecting the nodes for each subnetwork. For the non-null speeds in the segments in each community \({\bar{v}}\) denotes the average speed and \(\sigma _{v}\) the standard deviation, we also report the fraction (as percentage) of speeds with \(v\ge 10\,{{\mathrm{m}}/{\mathrm{s}}}\).

From: Activity of vehicles in the bus rapid transit system Metrobús in Mexico City