Performance of Automatic ANN-Based Incident Detection on Freeways-Reference-Cited by-同舟云学术

Performance of Automatic ANN-Based Incident Detection on Freeways

Published:1999-07 Issue:4 Volume:125 Page:281-290
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Ishak Sherif¹²³,Al-Deek Haitham¹²³

Affiliation:

1. Members, ASCE

2. Adjunct Res. Assoc., Dept. of Civ. and Envir. Engrg., Univ. of Central Florida, P.O. Box 162450, Orlando, FL 32816-2450. E-mail: sishak@ pegasus.cc.ucf.edu

3. Assoc. Prof. and Dir. of Transp. Sys. Inst., Dept. of Civ. and Envir. Engrg., Univ. of Central Florida, P.O. Box 162450, Orlando, FL. E-mail: hma@ece.engr.ucft.edu

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%281999%29125%3A4%28281%29

Reference36 articles.

1. Ahmed S. R. and Cook A. R. (1982). “Application of time-series analysis techniques to freeway incident detection.” Transp. Res. Rec. 841 Transportation Research Board Washington D.C. 19–21.

2. Impact of Freeway Geometric and Incident Characteristics on Incident Detection

3. Camargo F. A. ( 1990). “Learning algorithms in neural networks.” DCC Lab. Dept. of Comp. Sci. Columbia University New York.

4. Carpenter G. Grossberg S. and Rosen D. (1991). “Fast stable learning and categorization of analog patterns by an adaptive resonance system.” Neural Networks 4 759–771.

5. Cheu R. L. ( 1994). “Neural network models for automated detection of lane-blocking incidents on freeways ” PhD dissertation University of California at Irvine Irvine Calif.

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