Statistical methods for detecting nonlinearity and non-stationarity in univariate short-term time-series of traffic volume
Statistical methods for detecting nonlinearity and non-stationarity in univariate short-term time-series of traffic volume
E. Vlahogianni,M. Karlaftis,J. Golias
2006 · DOI: 10.1016/J.TRC.2006.09.002
127 Citations
TLDR
Results indicate that the statistical characteristics of traffic volume can be identified from prevailing traffic conditions; for example, volume data exhibit frequent shifts from deterministic to stochastic structures as well as transitions between cyclic and strongly nonlinear behaviors.