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        1 - Prioritizing obstacles of industry - university interaction in order to develop of intelligent urban transportation infrastructures using Fuzzy AHP
        Hamzeh Amin-Tahmasbi aboozar ghorbani
        Any society to achieve real and sustainable development goals requires continuous interaction between scientific and technical institutions, takes form in the template of university and industry. In fact, universities are generating knowledge and transferring it to scho Full Text
        Any society to achieve real and sustainable development goals requires continuous interaction between scientific and technical institutions, takes form in the template of university and industry. In fact, universities are generating knowledge and transferring it to scholars, the industry also works to apply knowledge and shares its expectations to university research teams, and they present their ideas, findings and outcomes to the industry. Transportation science also is no exception, and in recent years, it has introduced and implemented new technologies called Intelligent Transportation Systems (ITS) in universal level. Studies in Iran show that transferring knowledge between university and intelligent transportation industry face challenges and obstacles that have led industry owners to the direction of assembling imported components and escaping from universities. This study aims to explanation and interpretation of viewpoints of university and industry section experts about obstacles that affect transferring knowledge between these two institutions in line with implementation of intelligent urban transportation. In this research, firstgy determined effective indices of industry – university interaction obstacles by searching library and documentation resources. Fuzzy Delfi is used to sieve indices and identifying final submeasures. As 43 suggested obstacles were initially available to transportation science experts and by this technic, at first stage 27 obstacles and then, 15 obstacles were chosen for evaluation and ranking. Ranking was also done though fuzzy AHP. Results showed that lack of necessary infrastructures in ITS industry, and lack of applicability in science production areb the main obstacles of industry – university interaction in order to develop infrastructures of intelligent urban transportation Manuscript Document