An adaptive approach for real-time road traffic congestion detection using adaptive background extraction
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 13، العدد 6B (31 ديسمبر/كانون الأول 2016)، ص ص. 1075-1083، 9ص.
الناشر
تاريخ النشر
2016-12-31
دولة النشر
الأردن
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Traffic congestion is a situation on road networks that occurs as road use increases.
When traffic demand increase, the interaction between vehicles slows the speed of the traffic stream and congestion occurs.
As demand approaches the capacity of a road, extreme traffic congestion sets in.
Current techniques for road-traffic monitoring rely on sensors which have limited capabilities, inflexibility, and are often costly and disruptive to install.
The use of video cameras coupled with computer vision techniques offers an attractive alternative to the current sensors.
Vision based sensors have the potential to measure a far greater variety of traffic parameters compared to conventional sensors.
This work presents an approach for traffic congestion detection based an adaptive background extraction and edge detection techniques using rang filtering.
The proposed work uses a special shadow detection algorithm that reduces the chances of misclassification and enhances the segmentation process.
An adaptive background extraction technique is used for better object segmentation.
In addition, this approach provides real-time statistical information for traffic surveillance on highways such as, the total number of vehicles on the road and the average speed of those vehicles.
The proposed system is capable of detecting cars and vans simultaneously.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Najdawi, Nijad& Abu Rumman, Asma& Tidmuri, Sarah& al-Najdawi, Muhammad. 2016. An adaptive approach for real-time road traffic congestion detection using adaptive background extraction. The International Arab Journal of Information Technology،Vol. 13, no. 6B, pp.1075-1083.
https://search.emarefa.net/detail/BIM-688938
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Najdawi, Nijad…[et al.]. An adaptive approach for real-time road traffic congestion detection using adaptive background extraction. The International Arab Journal of Information Technology Vol. 13, no. 6B (2016), pp.1075-1083.
https://search.emarefa.net/detail/BIM-688938
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Najdawi, Nijad& Abu Rumman, Asma& Tidmuri, Sarah& al-Najdawi, Muhammad. An adaptive approach for real-time road traffic congestion detection using adaptive background extraction. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6B, pp.1075-1083.
https://search.emarefa.net/detail/BIM-688938
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 1082-1083
رقم السجل
BIM-688938
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر