HIERARCHICAL DATA CLUSTERING MODEL FOR ANALYZING PASSENGERS’ TRIP IN HIGHWAYS

HIERARCHICAL DATA CLUSTERING MODEL FOR ANALYZING PASSENGERS’ TRIP IN HIGHWAYS

One of the most important issues in urban planning is developing sustainable public transportation. The basic condition for this purpose is analyzing current condition especially based on data. Data mining is a set of new techniques that are beyond statistical data analyzing. Clustering techniques i...

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Bibliographic Details
Main Authors: Seyed Omid Hasanpour Jesri, Abbas Ahmadi, Behrooz Karimi, Mohsen Akbarpour
Format: Article
Language:English
Published: Iran University of Science & Technology 2012-11-01
Series:International Journal of Industrial Engineering and Production Research
Subjects:
Urban planning
data mining
traffic analysis
trip
public transportation
Online Access:http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-534-1&slc_lang=en&sid=1

Internet

http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-534-1&slc_lang=en&sid=1

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