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Volumn 2324, Issue , 2012, Pages 11-19

Travel time prediction using empirical mode decomposition and gray theory: Example of national central university bus in Taiwan

Author keywords

[No Author keywords available]

Indexed keywords

BUS TRANSPORTATION; FORECASTING; SEARCH ENGINES; SENSITIVITY ANALYSIS; TIME VARYING CONTROL SYSTEMS; TRAFFIC CONTROL; TRAVEL TIME;

EID: 85015516104     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2324-02     Document Type: Article
Times cited : (12)

References (31)
  • 2
    • 50849151631 scopus 로고
    • Control problems of grey systems
    • Deng, J. L. Control Problems of Grey Systems. System and Control Letters, Vol. 1, No. 5, 1982, pp. 288–294.
    • (1982) System and Control Letters , vol.1 , Issue.5 , pp. 288-294
    • Deng, J.L.1
  • 3
    • 0001829246 scopus 로고
    • Introduction to grey system theory
    • Deng, J. L. Introduction to Grey System Theory. Journal of Grey System, Vol. 1, No. 1, 1989, pp. 1–24.
    • (1989) Journal of Grey System , vol.1 , Issue.1 , pp. 1-24
    • Deng, J.L.1
  • 5
    • 0036316060 scopus 로고    scopus 로고
    • Using modern time series analysis techniques to predict enso events from the soi time series
    • Salisbury, J. I., and M. Wimbush. Using Modern Time Series Analysis Techniques to Predict ENSO Events from the SOI Time Series. Nonlinear Processes in Geophysics, Vol. 9, 2002, pp. 341–345.
    • (2002) Nonlinear Processes in Geophysics , vol.9 , pp. 341-345
    • Salisbury, J.I.1    Wimbush, M.2
  • 6
    • 80052078099 scopus 로고    scopus 로고
    • Ensemble empirical mode decomposition: A noise-assisted data analysis method
    • Wu, Z., and, N. E. Huang. Ensemble Empirical Mode Decomposition: A Noise-Assisted Data Analysis Method. Advances in Adaptive Data Analysis, Vol. 1, No. 1, 2008, pp. 1–41.
    • (2008) Advances in Adaptive Data Analysis , vol.1 , Issue.1 , pp. 1-41
    • Wu, Z.1    Huang, N.E.2
  • 8
    • 79957456341 scopus 로고    scopus 로고
    • An integrated framework to predict bus travel time and its variability using traffic flow data
    • Ehsan, M., R. Geoff, and C. Graham. An Integrated Framework to Predict Bus Travel Time and Its Variability Using Traffic Flow Data. Journal of Intelligent Transportation Systems, Vol. 15, No. 2, 2011, pp. 75–90.
    • (2011) Journal of Intelligent Transportation Systems , vol.15 , Issue.2 , pp. 75-90
    • Ehsan, M.1    Geoff, R.2    Graham, C.3
  • 9
    • 39849084754 scopus 로고    scopus 로고
    • Travel time estimation on a freeway using discrete time markov chains
    • Yeon, J., L. Elefteriadou, and S. Lawphongpanich. Travel Time Estimation on a Freeway Using Discrete Time Markov Chains. Transportation Research Part B, Vol. 42, No. 4, 2008, pp. 325–338.
    • (2008) Transportation Research Part B , vol.42 , Issue.4 , pp. 325-338
    • Yeon, J.1    Elefteriadou, L.2    Lawphongpanich, S.3
  • 12
    • 33750593957 scopus 로고    scopus 로고
    • Bus arrival time prediction using support vector machines
    • Yu, B., Z. Z. Yang, and B. Z. Yao. Bus Arrival Time Prediction Using Support Vector Machines. Journal of Intelligent Transportation Systems, Vol. 10, No. 4, 2006, pp. 151–158.
    • (2006) Journal of Intelligent Transportation Systems , vol.10 , Issue.4 , pp. 151-158
    • Yu, B.1    Yang, Z.Z.2    Yao, B.Z.3
  • 13
    • 77956404144 scopus 로고    scopus 로고
    • Dynamic multi-interval bus travel time prediction using bus transit data
    • Chang, H. H., D. J. Park, and S. J. Lee. Dynamic Multi-Interval Bus Travel Time Prediction Using Bus Transit Data. Transportmetrica, Vol. 6, No. 1, 2010, pp. 19–38.
    • (2010) Transportmetrica , vol.6 , Issue.1 , pp. 19-38
    • Chang, H.H.1    Park, D.J.2    Lee, S.J.3
  • 16
    • 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, ASCE, Vol. 132, No. 2, 2006, pp. 114–121.
    • (2006) Journal of Transportation Engineering, ASCE , vol.132 , Issue.2 , pp. 114-121
    • Zheng, W.1    Lee, D.2    Shi, Q.3
  • 19
    • 70350294305 scopus 로고    scopus 로고
    • Near-term travel speed prediction utilizing hilbert–huang transform
    • Hamad, K. Near-Term Travel Speed Prediction Utilizing Hilbert–Huang Transform. ComputerAided Civil and Infrastructure Engineering, Vol. 24, 2009, pp. 551–576.
    • (2009) Computeraided Civil and Infrastructure Engineering , vol.24 , pp. 551-576
    • Hamad, K.1
  • 20
    • 0001891123 scopus 로고
    • Short-term traffic flow prediction: Neural network approach
    • TRB National Research Council Washington DC
    • 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 1453 , pp. 98-104
    • Smith, B.L.1    Demetsky, M.J.2
  • 21
    • 0036881061 scopus 로고    scopus 로고
    • A high precision global prediction approach based on local prediction approaches
    • Su, S. F., C. B. Lin, and Y. T. Hsu. A High Precision Global Prediction Approach Based on Local Prediction Approaches. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 32, No. 4, 2002, pp. 416–425.
    • (2002) IEEE Transactions on Systems, Man, and Cybernetics , vol.32 , Issue.4 , pp. 416-425
    • Su, S.F.1    Lin, C.B.2    Hsu, Y.T.3
  • 25
    • 79953834598 scopus 로고    scopus 로고
    • A prediction model using hybrid grey GM(1,1) model
    • Li, G. D., D. Yamaguchi, and M. Nagai. A Prediction Model Using Hybrid Grey GM(1,1) Model. Grey System, Vol. 11, No. 1, 2008, pp. 19–26.
    • (2008) Grey System , vol.11 , Issue.1 , pp. 19-26
    • Li, G.D.1    Yamaguchi, D.2    Nagai, M.3
  • 27
    • 84953889132 scopus 로고    scopus 로고
    • Travel time prediction for bus
    • Busan Korea
    • Chen, H. K., and C. J. Wu. Travel Time Prediction for Bus. Presented at 17th ITS World Congress, Busan, Korea, 2010.
    • (2010) 17th ITS World Congress
    • Chen, H.K.1    Wu, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.