標題: | Fuzzy neural incident detection algorithms with rolling training procedure |
作者: | Lan, LW Huang, YC 運輸與物流管理系 註:原交通所+運管所 Department of Transportation and Logistics Management |
關鍵字: | freeway incident detection algorithm;fuzzy neural network;rolling training procedure;traffic simulation |
公開日期: | 2003 |
摘要: | This paper attempts to establish a fuzzy neural automatic incident detection (FNAID) algorithm, using back-propagation training procedures. A rolling training procedure continuously updating the traffic flow parameters is proposed to enhance the adaptability of FNAID to different traffic flow conditions. A real incident case is deliberately generated to calibrate the traffic simulator-Paramics. To validate the FNAID with and without rolling training procedure, the calibrated Paramics is used to simulate sufficient incident samples. The off-line tests and statistic tests conclude that under various traffic flow conditions, the FNAID with rolling training procedure has better detection performance than the one without rolling. |
URI: | http://hdl.handle.net/11536/18483 |
ISSN: | 1348-5393 |
期刊: | PROCEEDINGS OF THE EASTERN ASIA SOCIETY FOR TRANSPORTATION STUDIES, Vol 4, Nos 1 AND 2 |
Volume: | 4 |
Issue: | 1-2 |
起始頁: | 1200 |
結束頁: | 1212 |
顯示於類別: | 會議論文 |