INCREASE EFFICIENCY BIG DATA IN INTELLIGENT TRANSPORTATION SYSTEM WITH USING IOT INTEGRATION CLOUD

Internet of Things (IoT) is an emerging technology which involved both research and industrial. Things can sense, understand, learn and infer their environment. Limited resource in IoT, tend us to Cloud IoT paradigm; Integration of cloud and IoT can overtake their exclusive limitation. Data collected from scattered things in wide area environment can result in big data and therefore the need for big data mining and analysis. In this paper, we mine big data originated from things. Thanks to virtually unlimited of cloud computing resources, we can process mine data and extract knowledge and wisdom from collected data. In this paper, we propose a framework for addressing big data in cloud IoT scenario. As a case study, we investigate Intelligent Transportation System (ITS). We proposed a method to launch smart road traffic management using real dataset and Hadoop. Evaluation results show that our method can overtake the limitation of things using cloud computing. Using this framework, we can tackle with big data raised in IoT in effective and efficient manner.