With the continuous development of the cities, the traffic situation has gradually become a topic of concern. The concept of an intelligent transportation system has been proposed and developed. In the field of intelligent transportation, the traffic data has gradually increased. People have higher demands to real time data. The traditional data processing methods and tools have become unable to meet the needs of urban transport development. In this paper we analyzed the basic theory of granular computing, the methods, technology and current situation of granular computing. Besides, we discussed the hot issues of granular computing in an intelligent transportation system. Finally, granular computing in the development of intelligent transportation fields was also discussed.

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Quality education is a universal goal. This decade was marked by rapid advances and changes in many aspects of human activity, often taken together as the sign of a shift into knowledge era. Such advances and changes have stimulated many discussions about the role of information technology (IT) in teaching and learning. Given the deep technological, economic and policy changes that have taken place over the last decade, there are indications that pedagogical practices are changing as well. The pedagogical use of IT has made fairly great impact in universities. The main goal of our research is to benchmark the implementation and outcomes of the IT in quality education policy and to provide research-grounded insights for universities and teachers to evaluate their IT integration for teaching and learning. The specific objectives are to provide benchmarked indicators on the extent of IT integration in universities and its impact on pedagogy and students' learning outcomes.