Improving AADT Estimation Accuracy of Short-Term Traffic Counts Using Pattern Matching and Bayesian Statistics-Reference-Cited by-同舟云学术

Improving AADT Estimation Accuracy of Short-Term Traffic Counts Using Pattern Matching and Bayesian Statistics

Published:2015-06 Issue:6 Volume:141 Page:
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Bagheri Ehsan¹,Zhong Ming²,Christie James³

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, Waterloo, ON, Canada N2L 3G1 (corresponding author).

2. Professor, Intelligent Transport Systems Research Center, Wuhan Univ. of Technology, P.O. Box 125, 1040 Heping Ave.,Wuhan 430063, P.R. China; formerly, Associate Professor, Dept. of Civil Engineering, Univ. of New Brunswick, Fredericton, NB, Canada E3B 5A3.

3. Professor, Faculty of Science, Applied Science and Engineering, Univ. of New Brunswick, St. John, Canada E2L 4L5.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000528

Reference8 articles.

1. AASHTO. (1992). Guidelines for traffic data program AASHTO Washington DC.

2. Alberta DOT. (2009). “Traffic counts Alberta Transportation 〈http://www.transportation.alberta.ca/3459.htm〉 (Aug. 2010).

3. Bagheri E. Zhong M. and Christie J. (2013). “Spatial analysis of traffic growth and variations and their implications to the operations of a traffic monitoring program.” 2012 Conf. and Exhibition of the Transportation Association of Canada—Transportation: Innovations and Opportunities Transportation Association of Canada Fredericton NB Canada.

4. Federal Highway Administration (FHWA). (2001). Traffic monitoring guide U.S. Dept. of Transportation Federal Highway Administration Office of Highway Policy Information Washington DC.

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