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Volumn , Issue 1870, 2004, Pages 153-161

Application of regression analysis for identifying factors that affect seasonal traffic fluctuations in southeast florida

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; INFORMATION ANALYSIS; MONITORING; PATTERN RECOGNITION; REGRESSION ANALYSIS; ROADWAY SUPPORTS; TRAFFIC CONTROL;

EID: 11144315509     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1870-20     Document Type: Conference Paper
Times cited : (14)

References (13)
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    • Florida Department of Transportation, Tallahassee
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    • (2002) Project Traffic Forecasting Handbook
  • 2
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    • FHWA, U.S. Department of Transportation
    • Traffic Monitoring Guide. FHWA, U.S. Department of Transportation, 2001.
    • (2001) Traffic Monitoring Guide
  • 3
    • 11144305925 scopus 로고
    • Supplementary Report 437. Department of the Environment and Department of Transport, Crowthorne, Berkshire, Great Britain
    • Bellamy, P. H. Seasonal Variations in Traffic Flows. Supplementary Report 437. Department of the Environment and Department of Transport, Crowthorne, Berkshire, Great Britain, 1978.
    • (1978) Seasonal Variations in Traffic Flows
    • Bellamy, P.H.1
  • 4
    • 0020826224 scopus 로고
    • Improved classification of canadian primary highways according to type of road use
    • Sharma, S. C. Improved Classification of Canadian Primary Highways According to Type of Road Use. Canadian Journal of Civil Engineering, Vol. 10, No. 3, 1983, pp. 497-509.
    • (1983) Canadian Journal of Civil Engineering , vol.10 , Issue.3 , pp. 497-509
    • Sharma, S.C.1
  • 5
    • 0023015684 scopus 로고
    • Road classification according to driver population
    • TRB, National Research Council, Washington, D.C.
    • Sharma, S. C., P. J. Lingras, M. U. Hassan, and N. A. S. Murthy. Road Classification According to Driver Population. In Transportation Research Record 1090, TRB, National Research Council, Washington, D.C., 1986, pp. 61-69.
    • (1986) Transportation Research Record , vol.1090 , pp. 61-69
    • Sharma, S.C.1    Lingras, P.J.2    Hassan, M.U.3    Murthy, N.A.S.4
  • 6
    • 0022992502 scopus 로고
    • A statistical approach to statewide traffic counting
    • TRB, National Research Council, Washington, D.C.
    • Ritchie, S. G. A Statistical Approach to Statewide Traffic Counting. In Transportation Research Record 1090, TRB, National Research Council, Washington, D.C., 1986, pp. 14-21.
    • (1986) Transportation Research Record , vol.1090 , pp. 14-21
    • Ritchie, S.G.1
  • 7
    • 0029342676 scopus 로고
    • Roadway seasonal classification using neural networks
    • Faghri, A., and J. Hua. Roadway Seasonal Classification Using Neural Networks. Journal of Computing in Civil Engineering, Vol. 9, No. 3, 1995, pp. 209-215.
    • (1995) Journal of Computing in Civil Engineering , vol.9 , Issue.3 , pp. 209-215
    • Faghri, A.1    Hua, J.2
  • 8
    • 0030291831 scopus 로고    scopus 로고
    • Development of integrated traffic monitoring system for delaware
    • TRB, National Research Council, Washington, D.C.
    • Faghri, A., M. Glaubitz, and J. Parameswaran. Development of Integrated Traffic Monitoring System for Delaware. In Transportation Research Record 1536, TRB, National Research Council, Washington, D.C., 1996, pp. 40-44.
    • (1996) Transportation Research Record , vol.1536 , pp. 40-44
    • Faghri, A.1    Glaubitz, M.2    Parameswaran, J.3
  • 9
    • 0029342535 scopus 로고
    • Classifying highways: Hierarchical grouping versus kohonen neural networks
    • Lingras, P. Classifying Highways: Hierarchical Grouping Versus Kohonen Neural Networks. Journal of Transportation Engineering, Vol. 121, No. 4, 1995, pp. 364-368.
    • (1995) Journal of Transportation Engineering , vol.121 , Issue.4 , pp. 364-368
    • Lingras, P.1
  • 10
    • 3342925837 scopus 로고    scopus 로고
    • Neural networks as alternative to traditional factor approach to annual average daily traffic estimation from traffic counts
    • TRB, National Research Council, Washington, D.C.
    • Sharma, S. C., P. Lingras, F. Xu, and G. X. Liu. Neural Networks as Alternative to Traditional Factor Approach to Annual Average Daily Traffic Estimation from Traffic Counts. In Transportation Research Record: Journal of the Transportation Research Board, No. 1660, TRB, National Research Council, Washington, D.C., 1999, pp. 24-31.
    • (1999) Transportation Research Record: Journal of the Transportation Research Board, No. 1660 , pp. 24-31
    • Sharma, S.C.1    Lingras, P.2    Xu, F.3    Liu, G.X.4
  • 11
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    • Statistical and genetic algorithms classification of highways
    • Lingras, P. Statistical and Genetic Algorithms Classification of Highways. Journal of Transportation Engineering, Vol. 127, No. 3, 2001, pp. 237-243.
    • (2001) Journal of Transportation Engineering , vol.127 , Issue.3 , pp. 237-243
    • Lingras, P.1
  • 12
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    • Contributing factors of annual average daily traffic in a florida county: Exploration with geographic information system and regression models
    • TRB, National Research Council, Washington, D.C.
    • Zhao, F., and S. Chung. Contributing Factors of Annual Average Daily Traffic in a Florida County: Exploration with Geographic Information System and Regression Models. In Transportation Research Record: Journal of the Transportation Research Board, No, 1769, TRB, National Research Council, Washington, D.C., 2001, pp. 113-122.
    • (2001) Transportation Research Record: Journal of the Transportation Research Board, No, 1769 , pp. 113-122
    • Zhao, F.1    Chung, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.