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Volumn , Issue 2129, 2009, Pages 62-72

Application of advanced traffic information systems: Field test of a travel-time prediction system with widely spaced detectors

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED TRAVELER INFORMATION SYSTEMS; FORECASTING; INFORMATION SYSTEMS; INFORMATION USE; NEAREST NEIGHBOR SEARCH; TRAFFIC CONGESTION; TRAVEL TIME;

EID: 76149118802     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2129-08     Document Type: Article
Times cited : (18)

References (17)
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    • Beijing
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    • Zou, N.1    Wang, J.2    Chang, G.3
  • 3
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    • Day-to-day travel-time trends and travel- time prediction from loop detector data
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    • Kwon, J., and B. Coifman. Day-to-Day Travel-Time Trends and Travel- Time Prediction from Loop Detector Data. In Transportation Research Record: Journal of the Transportation Research Board, No.1717, TRB, National Research Council, Washington, D.C., 2000, pp. 120-129.
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    • Kwon, J.1    Coifman, B.2
  • 4
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    • California Partners for Advanced Tran sit and Highways Working Paper. Institute of Transportation Studies, University of California, Berkeley
    • Rice, J., and E. Van Swet. A Simple and Effective Method for Predicting Travel Times on Freeways. California Partners for Advanced Tran sit and Highways Working Paper. Institute of Transportation Studies, University of California, Berkeley, 2001.
    • (2001) A Simple and Effective Method for Predicting Travel Times on Freeways
    • Rice, J.1    Van Swet, E.2
  • 7
    • 0036692982 scopus 로고    scopus 로고
    • Comparison of parametric and nonparametric models for traffic flow forecasting
    • Smith, L. B. Comparison of Parametric and Nonparametric Models for Traffic Flow Forecasting. Transportation Research C, Vol.10, 2002, pp. 303-321.
    • (2002) Transportation Research C , vol.10 , pp. 303-321
    • Smith, L.B.1
  • 8
    • 0042664086 scopus 로고    scopus 로고
    • Short-term travel time prediction
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    • (2003) Transportation Research C , vol.11 , pp. 187-210
    • Zhang, X.1    Rice, J.A.2
  • 9
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    • Performance evaluation of short-term time-series traffic prediction model
    • DOI 10.1061/(ASCE)0733-947X(2002)128:6(490)
    • Ishak, S., and H. Al-Deek. Performance Evaluation of Short-Term Time Series Traffic Prediction Model. Journal of Transportation Engineering, Vol.128, No.6, 2002, pp. 490-498. (Pubitemid 35358468)
    • (2002) Journal of Transportation Engineering , vol.128 , Issue.6 , pp. 490-498
    • Ishak, S.1    Al-Deek, H.2
  • 11
    • 0345375534 scopus 로고    scopus 로고
    • Dynamic travel time prediction with real-time and historic data
    • Chien, S. I. J., and C. M. Kuchipudi. Dynamic Travel Time Prediction with Real-Time and Historic Data. Journal of Transportation Engineering, Vol.129, No.6, 2002, pp. 608-616.
    • (2002) Journal of Transportation Engineering , vol.129 , Issue.6 , pp. 608-616
    • Chien, S.I.J.1    Kuchipudi, C.M.2
  • 12
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    • A review of neural networks applied to transport
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  • 13
    • 0036960199 scopus 로고    scopus 로고
    • Hybrid neuro-fuzzy application in short-term freeway traffic volume forecasting
    • Transportation Research Board of the National Academies, Washington, D.C.
    • Park, B. Hybrid Neuro-Fuzzy Application in Short-Term Freeway Traffic Volume Forecasting. In Transportation Research Record: Journal of the Transportation Research Board, No.1802, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 190-196.
    • (2002) Transportation Research Record: Journal of the Transportation Research Board , vol.1802 , pp. 190-196
    • Park, B.1
  • 14
    • 0036974476 scopus 로고    scopus 로고
    • Freeway travel time prediction with state-space neural networks: Modeling state-space dynamics with recurrent neural networks
    • Transportation Research Board of the National Academies, Washington, D.C.
    • Van Lint, J. W. C., S. P. Hoogendoorn, and H. J. van Zuylen. Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks. In Transportation Research Record: Journal of the Transportation Research Board, No.1811, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 30-39.
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    • Van Lint, J.W.C.1    Hoogendoorn, S.P.2    Van Zuylen, H.J.3
  • 15
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    • Travel time prediction: Empirical analysis of missing data issues for advanced traveler information system applications
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    • Wang, J., N. Zou, and G. Chang. Travel Time Prediction: Empirical Analysis of Missing Data Issues for Advanced Traveler Information System Applications. In Transportation Research Record: Journal of the Transportation Research Board, No.2049, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 81-91.
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    • Wang, J.1    Zou, N.2    Chang, G.3
  • 16
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    • A combined dual-variable automated incident detection system
    • Zou, N., J. Wang, K. Kang, and G. Chang. A Combined Dual-Variable Automated Incident Detection System. Working paper.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.