en فرایند اطلاعاتی و مهندسی Information Processing and Engineering پژوهشي Research 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 is a subset of it that one of it’s techniques used for analyzing passengers’ trip. The result of this research shows relations and similarities in different segments that its usage is from strategic to tactical and operational areas. The approach in transportation is completely novel in the part of trip patterns and a novel process is proposed that can be implemented in highway analysis. Also this method can be applied in traffic and vehicle treats that need automatic number plate recognition (ANPR) for data gathering. A real case study has been studied here by developed process. Urban planning,data mining, traffic analysis,trip, public transportation 253 259 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-534-1&slc_lang=en&sid=1 Seyed Omid Hasanpour Jesri omid.gesri@gmail.com 180031947532846003127 180031947532846003127 No Amirkabir University of Tehran Abbas Ahmadi abbas.ahmadi@aut.ac.ir 180031947532846003128 180031947532846003128 Yes Amirkabir University of Tehran Behrooz Karimi b.karimi@aut.ac.ir 180031947532846003129 180031947532846003129 No Amirkabir University of Tehran Mohsen Akbarpour akbarpour@aut.ac.ir 180031947532846003130 180031947532846003130 No Amirkabir University of Tehran