Imputation of missing traffic data during holiday periods

Transportation Planning and Technology

Volumn 31, Issue 5, 2008, Pages 525-544

  Liu, Zhaobin ^a   Sharma, Satish ^b   Datla, Sandeep ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b UNIVERSITY OF REGINA   (Canada)

Author keywords

Canada; Holiday traffic; Imputation; k NN method; Missing data

Indexed keywords

FOOD PROCESSING; HIGHWAY ENGINEERING; HIGHWAY SYSTEMS; PLANNING; PROBABILISTIC LOGICS; STRUCTURED PROGRAMMING;

CANADA; DATA REQUIREMENTS; HARSH ENVIRONMENTS; HIGHWAY TRAFFIC; HOLIDAY TRAFFIC; IMPUTATION; IMPUTATION TECHNIQUES; INDUCTIVE LOOPS; K-NEAREST NEIGHBOR; K-NN METHOD; MISSING DATA; MONITORING PROGRAMS; NON-PARAMETRIC REGRESSION; OPERATION AND MANAGEMENT; TRAFFIC DATA; TRAFFIC MONITORING; TRANSPORTATION AGENCIES;

TRANSPORTATION;

ADAPTIVE MANAGEMENT; PERFORMANCE ASSESSMENT; REGRESSION ANALYSIS; TRAFFIC CONGESTION; TRAFFIC MANAGEMENT; TRANSPORTATION SYSTEM;

CANADA; NORTH AMERICA;

EID: 52349117298     PISSN: 03081060     EISSN: 10290354     Source Type: Journal    
DOI: 10.1080/03081060802364505     Document Type: Article

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