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Volumn , Issue 2064, 2008, Pages 73-80

Bayesian combination of travel time prediction models

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; REGRESSION ANALYSIS; TRAFFIC CONTROL;

EID: 58449130425     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2064-10     Document Type: Article
Times cited : (45)

References (17)
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    • 85173136520 scopus 로고    scopus 로고
    • van Hinsbergen, C. P. IJ., J. W. C. van Lint, and F. M. Sanders. Short Term Traffic Prediction Models. In Proc., 14th World Congress on intelligent Transport Systems (CD-ROM), Beijing, China, 2007.
    • van Hinsbergen, C. P. IJ., J. W. C. van Lint, and F. M. Sanders. Short Term Traffic Prediction Models. In Proc., 14th World Congress on intelligent Transport Systems (CD-ROM), Beijing, China, 2007.
  • 3
    • 85173176682 scopus 로고    scopus 로고
    • Petridis, V., A. Kehagias, L. Petrou, A. Bakirtzis, S. Kiartzis, H. Panagiotou, and N. Maslaris. A. Bayesian Multiple Models Combination Method for Time Series Prediction. Journal of Intelligent and Robotic Systems, 31, 2001, pp. 69-89.
    • Petridis, V., A. Kehagias, L. Petrou, A. Bakirtzis, S. Kiartzis, H. Panagiotou, and N. Maslaris. A. Bayesian Multiple Models Combination Method for Time Series Prediction. Journal of Intelligent and Robotic Systems, Vol. 31, 2001, pp. 69-89.
  • 5
    • 31044437283 scopus 로고    scopus 로고
    • Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural. Network Approach
    • Zheng, W., D. Lee, and Q. Shi. Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural. Network Approach. Journal of Transportation Engineering, Vol. 132, No. 2, 2006, pp. 114-121.
    • (2006) Journal of Transportation Engineering , vol.132 , Issue.2 , pp. 114-121
    • Zheng, W.1    Lee, D.2    Shi, Q.3
  • 6
    • 0001441372 scopus 로고
    • Probable Networks and Plausible Predictions-A Review of Practical Bayesian Methods for Supervised Neural Networks
    • MacKay, D. J. C. Probable Networks and Plausible Predictions-A Review of Practical Bayesian Methods for Supervised Neural Networks. Network: Computation in Neural Systems, Vol. 6, 1995, pp. 469-505.
    • (1995) Network: Computation in Neural Systems , vol.6 , pp. 469-505
    • MacKay, D.J.C.1
  • 10
    • 84899022480 scopus 로고    scopus 로고
    • Automatic Choice of Dimensionality for PCA
    • T. K. Leen, T. G. Dietterich, and V. Tresp, eds, MIT Press, Cambridge, Mass
    • Minka, T. P. Automatic Choice of Dimensionality for PCA. Advances in Neural Information Processing Systems 13 (T. K. Leen, T. G. Dietterich, and V. Tresp, eds.). MIT Press, Cambridge, Mass., 2001, pp. 598-604.
    • (2001) Advances in Neural Information Processing Systems 13 , pp. 598-604
    • Minka, T.P.1
  • 12
    • 0004296209 scopus 로고    scopus 로고
    • Prentice-Hall, Upper Saddle River, N.J
    • Greene, W. H. Econometric Analysis. Prentice-Hall, Upper Saddle River, N.J., 2000.
    • (2000) Econometric Analysis
    • Greene, W.H.1
  • 13
    • 4544274995 scopus 로고    scopus 로고
    • A Simple and Effective Method for Predicting Travel Times on Freeways
    • Rice, J., and E. van Zwet. A Simple and Effective Method for Predicting Travel Times on Freeways. IEEE Transactions on Intelligent Transportation Systems, Vol. 5, No. 3, 2004, pp. 200-207.
    • (2004) IEEE Transactions on Intelligent Transportation Systems , vol.5 , Issue.3 , pp. 200-207
    • Rice, J.1    van Zwet, E.2
  • 15
    • 21244465823 scopus 로고    scopus 로고
    • Refining Genetically Designed Models for Improved Traffic Prediction on Rural Roads
    • Zhong, M., S. Sharma, and P. Lingras. Refining Genetically Designed Models for Improved Traffic Prediction on Rural Roads. Transportation Planning and Technology, Vol. 28, No. 3, 2005, pp. 213-236.
    • (2005) Transportation Planning and Technology , vol.28 , Issue.3 , pp. 213-236
    • Zhong, M.1    Sharma, S.2    Lingras, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.