Neuro-Fuzzy Logic Model for Freeway Work Zone Capacity Estimation-Reference-Cited by-同舟云学术

Neuro-Fuzzy Logic Model for Freeway Work Zone Capacity Estimation

Published:2003-09 Issue:5 Volume:129 Page:484-493
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Adeli Hojjat¹,Jiang Xiaomo²

Affiliation:

1. Professor, Dept. of Civil and Environmental Engineering and Geodetic Science, The Ohio State Univ., 470 Hitchcock Hall, 2070 Neil Ave., Columbus, OH 43210.

2. Graduate Research Associate, Dept. of Civil and Environmental Engineering and Geodetic Science, The Ohio State Univ., 470 Hitchcock Hall, 2070 Neil Ave., Columbus, OH 43210.

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%3A5%28484%29

Reference18 articles.

1. Neural Networks in Civil Engineering: 1989–2000

2. Adeli H. and Hung S. L. (1995). Machine learning—neural networks genetic algorithms and fuzzy sets Wiley New York.

3. Adeli H. and Karim A. (2001). Construction scheduling cost optimization and management—a new model based on neurocomputing and object technologies Spon London.

4. Adeli H. and Park H. S. (1998). Neurocomputing for design automation Chemical Rubber Corp. Boca Raton Fla.

5. Al-Kaisy A. and Hall F. (2001). “Effect of darkness on the capacity of long-term freeway reconstruction zones.” Proc. 4th Int. Symp. on Highway Capacity Maui Hawaii 164–174.

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