Hiearchical data clustering model for analyzing passengers' trip in highways
Publish place: 08th International Industrial Engineering Conference
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC08_301
تاریخ نمایه سازی: 7 آذر 1391
Abstract:
Clustering techniques can be used to analyze traffic in highways. Although no similar research has been done for analyzing traffic and trip patterns by data mining approaches,the results of this paper can be generally applied in the field of urban planning and the model developed is extendable to allhighways. The results of this paper show that a considerable amount of knowledge can be extracted by mining raw data gathered automatically without paying any cost. The scope ofapplication varies from strategic areas to tactical and operational areas. Here, the Resalat highway in Tehran (the capital of Iran) has been studied as the case study
Keywords:
Transportation- data mining- trip patterns-highwayclustering
Authors
Seyed Omid Hasanpour Jesri
Amirkabir University of Technology (Tehran Polytechnic