Rationalizing reliable imputation durations of genetically designed models based on Alberta roads

Proceedings, Annual Conference - Canadian Society for Civil Engineering

Volumn 2005, Issue , 2005, Pages

  Zhong, M ^a   Sharma, S C ^b   Lingras, P J ^c  

^a UNIVERSITY OF CALGARY   (Canada)

^b UNIVERSITY OF REGINA   (Canada)

^c SAINT MARY S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS;

BLOCK PATTERNS; HIGHWAY AGENCIES; IMPUTATION DURATIONS; TIME DELAY NEURAL NETWORK (TDNN);

TRAFFIC CONTROL;

EID: 33748982634     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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3. Garber, N.J. and Hoel, L.A. 1999. Traffic and Highway Engineering. Second Edition, Brooks/Cole Publishing Company.
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7. a. Estimation of Missing Traffic Counts Using Factor, Genetic, Neural, and Regression Techniques. Transportation Research Part C: Emerging Technologies, No. 12, pp. 139-166.
8. Zhong, M. and Sharma, S.C. 2004. Examining the Imputation Accuracy of Highway Agencies. Accepted for publishing on the Journal of ITE on the Web.
9. b. Genetically Designed Models for Accurate Imputations of Missing Traffic Counts. Accepted for publishing in Transportation Research Records, Transportation Research Board, Washington DC.
10. nd Annual Congress of the Canadian Society of Civil Engineering, Saskatoon.