Adaptive neural network models for automatic incident detection on freeways-Reference-Cited by-同舟云学术

Adaptive neural network models for automatic incident detection on freeways

Published:2005-03 Issue: Volume:64 Page:473-496
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Srinivasan Dipti,Jin Xin,Cheu Ruey Long

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference21 articles.

1. Enhancing the universality and transferability of freeway incident detection using a Bayesian-based neural network;Abdulhai;Transp. Res. (Part C),1999

2. Fuzzy-Wavelet RBFNN model for freeway incident detection;Adeli;J. Transp. Eng.,2000

3. Constructive training of probabilistic neural networks;Berthold;Neurocomputing,1998

4. R.L. Cheu, Neural network models for automated detection of lane-blocking incidents on freeways, Ph.D. Dissertation, University of California, Irvine, 1994.

5. Calibration of FRESIM for Singapore expressway using genetic algorithm;Cheu;J. Transp. Eng.,1998

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