Methodology to characterize ideal short-term counting conditions and improve AADT estimation accuracy using a regression-based correcting function

Journal of Transportation Engineering

Volumn 140, Issue 5, 2014, Pages

  Figliozzi, Miguel ^a   Johnson, Pam ^a   Monsere, Christopher ^a   Nordback, Krista ^b  

^a Portland State University   (United States)

^b PORTLAND STATE UNIVERSITY   (United States)

Author keywords

Annual average daily traffic (AADT) estimation; Bicycle data; Sampling error; Short term counts

Indexed keywords

BICYCLES; PEDESTRIAN SAFETY; REGRESSION ANALYSIS; TRANSPORTATION;

ANNUAL AVERAGE DAILY TRAFFICS; CORRECTING FUNCTION; ESTIMATION METHODS; MOTORIZED VEHICLES; PEDESTRIAN TRAFFIC; SAMPLING ERRORS; SHORT-TERM COUNTS; TRANSPORTATION AGENCIES;

ESTIMATION;

ACCURACY ASSESSMENT; CYCLE TRANSPORT; ERROR ANALYSIS; ESTIMATION METHOD; PEDESTRIAN; REGRESSION ANALYSIS; SAMPLING; TRAFFIC MANAGEMENT;

OREGON; PORTLAND [OREGON]; UNITED STATES;

EID: 84940218495     PISSN: 0733947X     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)TE.1943-5436.0000663     Document Type: Article

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