کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10400252 | 890903 | 2005 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Neural networks for local monitoring of traffic magnetic sensors
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی هوافضا
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Neural networks for local monitoring of traffic magnetic sensors Neural networks for local monitoring of traffic magnetic sensors](/preview/png/10400252.png)
چکیده انگلیسی
A real-time traffic incident detection algorithm is proposed and applied to the monitoring of a complex road junction in the city of Nancy in France. This algorithm has the potential to provide local monitoring of traffic sensors. Our approach is based on macroscopic traffic flow models, and more precisely on the flow-density relationship. Once this relation is extracted from real traffic data, an admissible region is defined in the flow-density space. Then, the classification properties of neural networks are used to design the monitoring network, which detects and isolates the incidents that disturb the traffic, when the measured data are out of the admissible region. A hierarchical scheme to deal with incidents in large-scale networks is developed as well.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Control Engineering Practice - Volume 13, Issue 1, January 2005, Pages 67-80
Journal: Control Engineering Practice - Volume 13, Issue 1, January 2005, Pages 67-80
نویسندگان
Nadhir Messai, Philippe Thomas, Dimitri Lefebvre, Abdellah El Moudni,