-
1
-
-
58049087011
-
-
William, B.M.: Modeling and Forecasting Vehicular Traffic Flow as a Seasonal Stochastic Time Series Process. Ph.D. Dissertation. Univ. Virginia, Charlottesville, VA (1999)
-
William, B.M.: Modeling and Forecasting Vehicular Traffic Flow as a Seasonal Stochastic Time Series Process. Ph.D. Dissertation. Univ. Virginia, Charlottesville, VA (1999)
-
-
-
-
2
-
-
0002324802
-
Short Term Traffic Forecasting Using Time Series Methods
-
Moorthy, C.K., Ratcliffe, B.G.: Short Term Traffic Forecasting Using Time Series Methods. Transp. Plan. Technol. 12, 45-56 (1988)
-
(1988)
Transp. Plan. Technol
, vol.12
, pp. 45-56
-
-
Moorthy, C.K.1
Ratcliffe, B.G.2
-
3
-
-
0033226152
-
Application of Subsets Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting
-
Lee, S., Fambro, D.B.: Application of Subsets Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting. Transp. Res. Rec. 1678, 179-188 (1999)
-
(1999)
Transp. Res. Rec
, vol.1678
, pp. 179-188
-
-
Lee, S.1
Fambro, D.B.2
-
4
-
-
84863114799
-
The Limitations of Artificial Neural Networks for Traffic Prediction
-
Athens, Greece, pp
-
Hall, J., Mars, P.: The Limitations of Artificial Neural Networks for Traffic Prediction. In: Proc. 3rd IEEE Symp. Computers and Communications, Athens, Greece, pp. 8-12 (1998)
-
(1998)
Proc. 3rd IEEE Symp. Computers and Communications
, pp. 8-12
-
-
Hall, J.1
Mars, P.2
-
5
-
-
0021375695
-
Dynamic Prediction of Traffic Volume through Kalman Filter Theory
-
Okutani, I., Stephanedes, Y.J.: Dynamic Prediction of Traffic Volume through Kalman Filter Theory. Transp. Res., Part B: Methodol. 18, 1-11 (1984)
-
(1984)
Transp. Res., Part B: Methodol
, vol.18
, pp. 1-11
-
-
Okutani, I.1
Stephanedes, Y.J.2
-
6
-
-
84908258002
-
Short-Term Traffic Flow Forecasting based on Markov Chain Model
-
Columbus, OH, pp
-
Yu, G., Hu, J., Zhang, C., Zhuang, L., Song, J.: Short-Term Traffic Flow Forecasting based on Markov Chain Model. In: Proc. IEEE Intelligent Vehicles Symp., Columbus, OH, pp. 208-212 (2003)
-
(2003)
Proc. IEEE Intelligent Vehicles Symp
, pp. 208-212
-
-
Yu, G.1
Hu, J.2
Zhang, C.3
Zhuang, L.4
Song, J.5
-
7
-
-
84956628443
-
Predicting Time Series with Support Vector Machines
-
Müller, K.R., Smola, A.J., Rätseh, G., Schölkopf, B., Kohlmorgen, J., Vapnik, V.: Predicting Time Series with Support Vector Machines. In: Proc. Int. Conf. Artificial Neural Networks, pp. 999-1004 (1997)
-
(1997)
Proc. Int. Conf. Artificial Neural Networks
, pp. 999-1004
-
-
Müller, K.R.1
Smola, A.J.2
Rätseh, G.3
Schölkopf, B.4
Kohlmorgen, J.5
Vapnik, V.6
-
8
-
-
33644989492
-
A Bayesian Network Approach to Traffic Flow Forecasting
-
Sun, S., Zhang, C.: A Bayesian Network Approach to Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 7, 124-132 (2006)
-
(2006)
IEEE Trans. Intell. Transp. Syst
, vol.7
, pp. 124-132
-
-
Sun, S.1
Zhang, C.2
-
9
-
-
0034205574
-
Estimation of AADT from Short Period Counts in Hong Kong-A Comparison between Neural Network Method and Regression Analysis
-
Lam, W.H.K., Xu, J.: Estimation of AADT from Short Period Counts in Hong Kong-A Comparison between Neural Network Method and Regression Analysis. J. Adv. Transp. 34, 249-268 (2000)
-
(2000)
J. Adv. Transp
, vol.34
, pp. 249-268
-
-
Lam, W.H.K.1
Xu, J.2
-
10
-
-
0036692982
-
Comparison of Parametric and Nonparametric Models for Traffic Flow Forecasting
-
Smith, B.L., Williams, B.M., Oswald, R.K.: Comparison of Parametric and Nonparametric Models for Traffic Flow Forecasting. Transp. Res., Part C: Emerg. Technol. 10, 303-321 (2002)
-
(2002)
Transp. Res., Part C: Emerg. Technol
, vol.10
, pp. 303-321
-
-
Smith, B.L.1
Williams, B.M.2
Oswald, R.K.3
-
11
-
-
0026128928
-
Non-Parametric Regression and Short-Term Freeway Traffic Forecasting
-
Davis, G.A., Nihan, N.L.: Non-Parametric Regression and Short-Term Freeway Traffic Forecasting. J. Transp. Eng. 177, 178-188 (1991)
-
(1991)
J. Transp. Eng
, vol.177
, pp. 178-188
-
-
Davis, G.A.1
Nihan, N.L.2
-
12
-
-
49449089825
-
Metric Learning for Kernel Regression
-
Omnipress, Puerto Rico, pp
-
Weinberger, K.Q., Tesauro, G.: Metric Learning for Kernel Regression. In: Proc. 11th Int. Conf. Artificial Intelligence and Statistics, Omnipress, Puerto Rico, pp. 608-615 (2007)
-
(2007)
Proc. 11th Int. Conf. Artificial Intelligence and Statistics
, pp. 608-615
-
-
Weinberger, K.Q.1
Tesauro, G.2
-
13
-
-
0003922190
-
-
John Wiley & Sons, New York
-
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. John Wiley & Sons, New York (2000)
-
(2000)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
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