Research Article

Application of Data Clustering to Railway Delay Pattern Recognition

Table 4

Characterization of delay profile clusters and southbound ØK trains, Nivå–Copenhagen.

ClusterNumber of observationsMean average delay [min]Mean STD of delays [min]Mean initial delay [min]Mean final delay [min]Mean min delay [min]Mean max delay [min]Mean delay range [min]Mean max delay change [min]Mean overall delay change [min]

(1)2702,262,78−0,956,14−1,067,728,784,887,09
(2)4180,551,47−1,054,71−1,245,276,524,695,76
(3)3813,091,121,701,800,534,644,112,690,11
(4)1597,651,924,598,033,7310,216,476,793,44
(5)3951,921,14−0,282,23−0,474,104,572,252,51

Total16232,461,570,353,99−0,125,735,853,873,64