An Application Of Mobile Cloud Computing In The GPS Of Taxi

In recent years, with the rapid development of wireless technology, more and more mobile devices, such as mobile phones, tablet PC and other access networks. In today’s trend for 4G, Internet, wireless broadband access and integration of the development of mixed generation, cloud computing technology with its powerful computing power and storage capacity is providing unlimited possibilities for us, greatly promoted the development of large data processing technology. This article will combine mobile cloud computing applications with large vehicle GPS data, Depth understanding of cloud computing technology in the field of traffic capacity, which offers a variety of dynamic services for a large number of individuals, GPS realize the value of big data.With taxi GPS data analysis we built a cloud platform service approach for cloud computing, smart phones as a service terminal, and an app of intelligent taxi recommendation system based on mobile cloud computing. Through advanced algorithms intelligent, cloud-based platform and services useful in screening vehicle GPS data, closest to the user to determine the density of the largest regional empty-run rate taxi and show it on a mobile device, provide a reference for the user. In the cloud, using parallel programming model MapReduce, through data mining algorithm and KNN query clustering algorithm, the background to create the space and time offline data index, and reception places online ways to provide the results of cloud computing. Historical analysis of the current taxi trajectory data of customers around the location, when accumulated to a certain amount of data requested by cluster analysis to understand customer behavior, when you receive a similar request again pushed directly to the customer, thereby improving the response speed. The subject of the research in the future of mobile cloud computing applications in the transport sector provide some technical reference with some engineering significance.