메뉴 건너뛰기




Volumn , Issue 1879, 2004, Pages 1-8

Online recursive algorithm for short-term traffic prediction

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ELECTRONIC GUIDANCE SYSTEMS; HIGHWAY TRAFFIC CONTROL; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; REGRESSION ANALYSIS; TIME VARYING SYSTEMS; VECTORS;

EID: 14744291722     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1879-01     Document Type: Conference Paper
Times cited : (51)

References (25)
  • 1
    • 0031093652 scopus 로고    scopus 로고
    • 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 scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 6
    • 0035724797 scopus 로고    scopus 로고
    • 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 scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 10
    • 0035480351 scopus 로고    scopus 로고
    • 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 scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 21
    • 0001406710 scopus 로고
    • 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
  • 25
    • 22844454979 scopus 로고    scopus 로고
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.