Comparison of Four Modeling Techniques for Short-Term AADT Forecasting in Hong Kong-Reference-Cited by-同舟云学术

Comparison of Four Modeling Techniques for Short-Term AADT Forecasting in Hong Kong

Published:2003-05 Issue:3 Volume:129 Page:271-277
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Tang Y. F.¹,Lam William H. K.²,Ng Pan L. P.³

Affiliation:

1. Research Student, Dept. of Civil and Structural Engineering, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong.

2. Professor, Dept. of Civil and Structural Engineering, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong.

3. Research Associate, Dept. of Civil and Structural Engineering, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282003%29129%3A3%28271%29

Reference14 articles.

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2. Bowerman B. L. and O’Connell R. T. (1987). Time series forecasting—Unified concepts and computer implementation . Duxbury Press Boston.

3. Nonparametric Regression and Short‐Term Freeway Traffic Forecasting

4. Dochy T. M. and Lechevallier Y. (1995). “Short term traffic forecasting using neural network.” Transportation system: Theory and application of advanced technology B. Liu and J. M. Blosseville eds. Vol. 2 Pergamon Oxford 633–638.

5. Short-Term Prediction of Traffic Volume in Urban Arterials

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