Neural Network Model for Automatic Traffic Incident Detection
Download or Read eBook Neural Network Model for Automatic Traffic Incident Detection PDF written by Hojjat Adeli and published by . This book was released on 2001 with total page 280 pages. Available in PDF, EPUB and Kindle.
| Author | : Hojjat Adeli |
| Publisher | : |
| Total Pages | : 280 |
| Release | : 2001 |
| ISBN-10 | : NWU:35556033418880 |
| ISBN-13 | : |
| Rating | : 4/5 (80 Downloads) |
Book Synopsis Neural Network Model for Automatic Traffic Incident Detection by : Hojjat Adeli
Book excerpt: Automatic freeway incident detection is an important component of advanced transportation management systems (ATMS) that provides information for emergency relief and traffic control and management purposes. In this research, a multi-paradigm intelligent system approach and several innovative algorithms were developed for solution of the freeway traffic incident detection problem employing advanced signal processing, pattern recognition, and classification techniques. The methodology effectively integrates fuzzy, wavelet, and neural computing techniques to improve reliability and robustness.
