Comparison of parametric and nonparametric models for traffic flow forecasting
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2,306 citations
Cites methods from "Comparison of parametric and nonpar..."
...The SARIMA models and the nonparametric regression forecasting methods were evaluated in [49]....
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1,521 citations
Cites background from "Comparison of parametric and nonpar..."
...In the past decades, a number of ARIMA based time series models have been proposed for traffic prediction (Williams and Hoel, 2003; Smith et al., 2002; Williams, 2001; Chandra and Al-Deek, 2009)....
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644 citations
Cites methods from "Comparison of parametric and nonpar..."
...Several other techniques have been applied to predict real-time traffic flow, including multivariate state space time series (Stathopoulos & Karlaftis, 2003), multivariate non-parametric regression (Clark, 2003; Smith & Demetsky, 1996), nearest neighbor non-parametric regression (Davis & Nihan, 1991; Smith et al., 2002), dynamic generalized linear models (Lan & Miaou, 1999), and Kalman filtering models (Okutani & Stephanedes, 1984)....
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...…& Karlaftis, 2003), multivariate non-parametric regression (Clark, 2003; Smith & Demetsky, 1996), nearest neighbor non-parametric regression (Davis & Nihan, 1991; Smith et al., 2002), dynamic generalized linear models (Lan & Miaou, 1999), and Kalman filtering models (Okutani & Stephanedes, 1984)....
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594 citations
References
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