Using clustering techniques for Network traffic
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 364
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شناسه ملی سند علمی:
CICEAUD01_1150
تاریخ نمایه سازی: 29 فروردین 1397
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
Leila Abdolkarimzadeh
Industrial Engineering and Management Systems, Amirkabir University of Technology
Masoud Mahootchi
Industrial Engineering and Management Systems, Amirkabir University of Technology