Using clustering techniques for Network traffic
عنوان مقاله: Using clustering techniques for Network traffic
شناسه ملی مقاله: CICEAUD01_1150
منتشر شده در کنفرانس بین المللی عمران،معماری و شهرسازی ایران معاصر در سال 1396
شناسه ملی مقاله: CICEAUD01_1150
منتشر شده در کنفرانس بین المللی عمران،معماری و شهرسازی ایران معاصر در سال 1396
مشخصات نویسندگان مقاله:
Leila Abdolkarimzadeh - Industrial Engineering and Management Systems, Amirkabir University of Technology
Masoud Mahootchi - Industrial Engineering and Management Systems, Amirkabir University of Technology
خلاصه مقاله:
Leila Abdolkarimzadeh - Industrial Engineering and Management Systems, Amirkabir University of Technology
Masoud Mahootchi - Industrial Engineering and Management Systems, Amirkabir University of Technology
Traffic has an increasing trend in most countries in the world. It has significant effect on the life of people. One of the effective way used for decreasing traffic is control traffic condition based on its volume. SCATS is one of the common system, throughout the world, controlling traffic, in accordance with its density and volume. This system has been installed in some intersections of Iran. In this study, we try to pave the way for better controlling traffic using the outputs of SCATS system. Here, some clustering algorithms such as k-means, hierarchical, and density-based ones are applied to find similar traffic time intervals for one intersection. These results might be used for improving the SCATS performance in controlling traffic in future studies.
کلمات کلیدی: Traffic, SCATS, Hierarchical clustering, K-means clustering, Density based clustering
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/709840/