隨著科技日新月異，科技已經與我們的生活密不可分了，為了近一步的了解與改進城市的各項機能並且讓人們的生活更加便利，智慧城市的概念因此而生。而智慧城市主要就是利用信息和通訊科技去提高都市服務的品質和效能。無論我們生活在城市的哪個角落，交通都是相當重要的一項課題，因為一旦我們出了門就必須面對交通所帶來的問題。
智慧型運輸系統即是智慧城是的範疇中一個實際且可有效率解決交通問題的方法，智慧型運輸系統的宗旨就是讓交通更加安全且有效率，其帶來的優點有(1)增加行車安全 (2)增加交通效率 (3)改善能源使用效率 (4)減少對環境的影響。智慧型運輸系統有各種不同的實際應用例子及服務，他們共通點就是利用大量的感應器去收集資料以便達到目的。然而，這些感應器無時無刻都在收集和傳輸資料。這些資料量的大小及產生的速度衍生出巨量資料的議題。
雲端運算是一個熱門、實際且適合的方法去處理巨量資料並且用來整合各種不同的智慧型運輸系統。我們可以利用雲端運算系統去收集、儲存大量的資料並且同時處理即時的資料傳輸。這些大量的資料不單單只是收集、儲存而已，因為大量資料的背後可能代表著相當有意義的資訊。另外，針對即時資料的傳輸和反應也是相當重要的，有了即時資料我們就可以動態的調整智慧型運輸系統的服務。在智慧型運輸系統和雲端運算有很多的相關研究，但都只是專注於某部分。在我們的系統裡，我們同時注重資料的批次處理、及時處理和感應器的即時交換資料以利於用雲端運算整合各種不同的智慧型運輸系統。

With the advancement of technology, technology affects our life and environment in all aspects, so the concept of smart city appears in our idea. The concept of smart city is to make use of information and communication technologies (ICT) to enhance quality and performance of urban services. We live in vibrant city, and transportation is so quite close to our life that we cannot ignore importance of transportation. Once we leave our home, the first thing we encountered exactly is transportation. Intelligent transportation system (ITS) is a practical and effective method solution to the transportation. The purpose of ITS is to deliver safer and more efficient transportation, and it brings advantages as following: (1) Enhance safety of driving, (2) enhance efficiency of transportation, (3) improve energy efficiency and (4) reduce environmental impact. ITS has diverse service, and all kinds of service in ITS both exploit data collected from numbers of sensors to succeed their different purposes. At the same time, those sensors equipped on transport and infrastructure generate and transmit data all the time, and the volume and velocity of data bring the issue of Big Data. Cloud computing is a popular, practicable and appropriate method to deal with the volume and velocity of data and intergrade a variety of service of ITS. We can use cloud computing system to collect and store massive data and support real-time transmission of streaming data. Those massively raw data are not only collected and stored but also representing meaningful information. In addition, there is an equally important part is reaction to real-time data of transportation, so that we can dynamically adjust our service of ITS. We realize the importance of utilizing cloud computing to support and intergrade ITS. There is lots of related works in ITS and cloud computing, but those related works may focus on one feature, such as batch processing, real-time processing or communication of adjacent RSU. In our cloud-based system, we focus on both batch processing, real-time processing and communication of adjacent RSU to integrate ITS with cloud computing.

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