-
1
-
-
0031093652
-
Recent advances in the field of short-term traffic forecasting
-
Van Arem, B. Recent Advances in the Field of Short-Term Traffic Forecasting. International Journal of Forecasting, Vol. 13, 1997, pp. 1-12.
-
(1997)
International Journal of Forecasting
, vol.13
, pp. 1-12
-
-
Van Arem, B.1
-
2
-
-
0018729076
-
Analysis of freeway traffic time-series data by using box-jenkins techniques
-
TRB, National Research Council, Washington, D.C.
-
Ahmed, M. S., and A. R. Cook. Analysis of Freeway Traffic Time-Series Data by Using Box-Jenkins Techniques. In Transportation Research Record 722, TRB, National Research Council, Washington, D.C., 1979, pp. 1-9.
-
(1979)
Transportation Research Record
, vol.722
, pp. 1-9
-
-
Ahmed, M.S.1
Cook, A.R.2
-
4
-
-
0035563672
-
Multivariate vehicular traffic flow prediction: Evaluation of ARIMAX modeling
-
TRB, National Research Council, Washington, D.C.
-
Williams, M. B. Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling. Transportation Research Record: Journal of the Transportation Research Board, No. 1776, TRB, National Research Council, Washington, D.C., 2001, pp. 194-200.
-
(2001)
Transportation Research Record: Journal of the Transportation Research Board, No. 1776
, vol.1776
, pp. 194-200
-
-
Williams, M.B.1
-
5
-
-
0031092040
-
Tracking and predicting a network traffic process
-
Whittaker, J., S. Garside, and K. Lindveld. Tracking and Predicting a Network Traffic Process. International Journal of Forecasting, Vol. 13, 1997, pp. 51-61.
-
(1997)
International Journal of Forecasting
, vol.13
, pp. 51-61
-
-
Whittaker, J.1
Garside, S.2
Lindveld, K.3
-
6
-
-
0035724797
-
Dynamic freeway travel-time prediction with probe vehicle data: Link based versus path based
-
TRB, National Research Council, Washington, D.C.
-
Chen, M., and S. I. J. Chien. Dynamic Freeway Travel-Time Prediction with Probe Vehicle Data: Link Based Versus Path Based. In Transportation Research Record: Journal of the Transportation Research Board, No. 1768, TRB, National Research Council, Washington, D.C., 2001, pp. 157-161.
-
(2001)
Transportation Research Record: Journal of the Transportation Research Board, No. 1768
, vol.1768
, pp. 157-161
-
-
Chen, M.1
Chien, S.I.J.2
-
7
-
-
0026128928
-
Nonparametric regression and short-term freeway traffic forecasting
-
Davis, G. A., and N. L. Nihan. Nonparametric Regression and Short-Term Freeway Traffic Forecasting. ASCE Journal of Transportation Engineering, Vol. 117, No. 2, 1991, pp. 178-188.
-
(1991)
ASCE Journal of Transportation Engineering
, vol.117
, Issue.2
, pp. 178-188
-
-
Davis, G.A.1
Nihan, N.L.2
-
8
-
-
0036692982
-
Comparison of parametric and nonparametric models for traffic flow forecasting
-
Smith, B. L. Comparison of Parametric and Nonparametric Models for Traffic Flow Forecasting. Transportation Research Part C, Vol. 10, 2002, pp. 303-321.
-
(2002)
Transportation Research Part C
, vol.10
, pp. 303-321
-
-
Smith, B.L.1
-
9
-
-
1642263251
-
Use of local linear regression model for short-term traffic forecasting
-
TRB, National Research Council, Washington, D.C.
-
Sun, H., H. X. Liu, H. Xiao, R. R. He, and B. Ran. Use of Local Linear Regression Model for Short-Term Traffic Forecasting. In Transportation Research Record: Journal of the Transportation Research Board, No. 1836, TRB, National Research Council, Washington, D.C., 2003, pp. 143-150.
-
(2003)
Transportation Research Record: Journal of the Transportation Research Board, No. 1836
, vol.1836
, pp. 143-150
-
-
Sun, H.1
Liu, H.X.2
Xiao, H.3
He, R.R.4
Ran, B.5
-
10
-
-
0035480351
-
Use of sequential learning for shortterm traffic flow forecasting
-
Chen, H., and S. Grant-Muller. Use of Sequential Learning for ShortTerm Traffic Flow Forecasting. Transportation Research C, Vol. 9, 2001, pp. 319-336.
-
(2001)
Transportation Research C
, vol.9
, pp. 319-336
-
-
Chen, H.1
Grant-Muller, S.2
-
11
-
-
0002429747
-
An online dynamic traffic prediction model for an interurban motorway network
-
(N. H. Gartner and G. Improta, eds.) Springer-Verlag, New York
-
Ben-Akiva, M., and E. Cascetta. An Online Dynamic Traffic Prediction Model for an Interurban Motorway Network. In Urban Traffic Networks: Dynamic Flow Modeling and Control (N. H. Gartner and G. Improta, eds.) Springer-Verlag, New York, 1995.
-
(1995)
Urban Traffic Networks: Dynamic Flow Modeling and Control
-
-
Ben-Akiva, M.1
Cascetta, E.2
-
12
-
-
0033678092
-
Using traffic prediction models for providing predictive traveler information
-
Ran, B. Using Traffic Prediction Models for Providing Predictive Traveler Information. International Journal of Technology Management, Vol. 20, 2000.
-
(2000)
International Journal of Technology Management
, vol.20
-
-
Ran, B.1
-
13
-
-
0001891123
-
Short-term traffic flow prediction: Neural network approach
-
TRB, National Research Council, Washington, D.C.
-
Smith, B. L., and M. J. Demetsky. Short-Term Traffic Flow Prediction: Neural Network Approach. In Transportation Research Record 1453, TRB, National Research Council, Washington, D.C., 1994, pp. 98-104.
-
(1994)
Transportation Research Record
, vol.1453
, pp. 98-104
-
-
Smith, B.L.1
Demetsky, M.J.2
-
14
-
-
0032155636
-
Forecasting multiple-period freeway link travel times using modular neural networks
-
TRB, National Research Council, Washington, D.C.
-
Park, D., and L. R. Rilett. Forecasting Multiple-Period Freeway Link Travel Times Using Modular Neural Networks. In Transportation Research Record 1617, TRB, National Research Council, Washington, D.C., 1998, pp. 163-170.
-
(1998)
Transportation Research Record
, vol.1617
, pp. 163-170
-
-
Park, D.1
Rilett, L.R.2
-
15
-
-
0001477735
-
Macroscopic modeling of freeway traffic using an artificial neural network
-
TRB, National Research Council, Washington, D.C.
-
Zhang, H., S. G. Ritchie, and Z.-P. Lo. Macroscopic Modeling of Freeway Traffic Using an Artificial Neural Network. In Transportation Research Record 1588, TRB, National Research Council, Washington, D.C., 1997, pp. 110-119.
-
(1997)
Transportation Research Record
, vol.1588
, pp. 110-119
-
-
Zhang, H.1
Ritchie, S.G.2
Lo, Z.-P.3
-
16
-
-
0033696256
-
Effects of parameter selection on forecast accuracy and execution time in nonparametric regression
-
Dearborn, Mich.
-
Smith, B. L. Effects of Parameter Selection on Forecast Accuracy and Execution Time in Nonparametric Regression. Proc., IEEE Conference on Intelligent Transportation Systems, Dearborn, Mich., 2000.
-
(2000)
Proc., IEEE Conference on Intelligent Transportation Systems
-
-
Smith, B.L.1
-
17
-
-
0043258092
-
Travel time predictions for dynamic route guidance with a recursive adaptive algorithm
-
Washington, D.C.
-
Stamatiadis, C. Travel Time Predictions for Dynamic Route Guidance with a Recursive Adaptive Algorithm. Presented at 73rd Annual Meeting of the Transportation Research Board, Washington, D.C., 1994.
-
(1994)
73rd Annual Meeting of the Transportation Research Board
-
-
Stamatiadis, C.1
-
18
-
-
0032739602
-
Efficient recursive state estimator for dynamic systems without knowledge of noise covariance
-
Zhu, Y. Efficient Recursive State Estimator for Dynamic Systems Without Knowledge of Noise Covariance. IEEE Transactions on Aerospace and Electronic Systems, Vol 35, 1999, pp. 102-114.
-
(1999)
IEEE Transactions on Aerospace and Electronic Systems
, vol.35
, pp. 102-114
-
-
Zhu, Y.1
-
19
-
-
0004311217
-
-
Prentice Hall, Englewood Cliffs, N.J.
-
Box, G. E. P., G. M. Jenkins, and G. C. Reinsei. Time Series Analysis: Forecasting and Control. Prentice Hall, Englewood Cliffs, N.J., 1994.
-
(1994)
Time Series Analysis: Forecasting and Control
-
-
Box, G.E.P.1
Jenkins, G.M.2
Reinsei, G.C.3
-
21
-
-
0001406710
-
Some theorems in least squares
-
Plackett, R. L. Some Theorems in Least Squares. Biometrika, Vol. 37, 1950, pp. 149-157.
-
(1950)
Biometrika
, vol.37
, pp. 149-157
-
-
Plackett, R.L.1
-
23
-
-
0033871940
-
Online data mining for co-evolving time sequences
-
San Diego, Calif.
-
Yi, B.-K., N. D. Sidiropoulos, T. Johnson, H. V. Jagadis, C. Faloutsos, and A. Biliris. Online Data Mining for Co-Evolving Time Sequences. Proc., 16th International Conference on Data Engineering, San Diego, Calif., 2000.
-
(2000)
Proc., 16th International Conference on Data Engineering
-
-
Yi, B.-K.1
Sidiropoulos, N.D.2
Johnson, T.3
Jagadis, H.V.4
Faloutsos, C.5
Biliris, A.6
-
25
-
-
22844454979
-
The foreman lecture: The state-space approach to time series analysis and its potential for official statistics
-
Durbin, J. The Foreman Lecture: The State-Space Approach to Time Series Analysis and Its Potential for Official Statistics. Australian and New Zealand Journal of Statistics, Vol. 42, 2000, pp. 1-23.
-
(2000)
Australian and New Zealand Journal of Statistics
, vol.42
, pp. 1-23
-
-
Durbin, J.1
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