Applying GPS_enable mobile phone_based traffic monitoring system in Mobile Cloud Infrastructure

Abstract

Nowadays, monitoring road and traffic prediction in urban area is becoming an important role in developing countries like ours. It is the most important part that getting and performing the accurate traffic data in all Traffic Prediction System. This paper introduces an approach of tracking traffic data using the cheapest way and it was computed the traffic data in terms of communication, computation and energy efficient ways. Mobile devices are becoming an important role not only for personal contact, but also for business and environmental sensing application. The GPS sensor of mobile device will be mainly utilized to guess a user’s transportation mode, then it integrates cloud environment to enhance the limitation of mobile device, such as storage, energy and computing power. This system includes three main components: Client Interface, Server process and Cloud Storage. Some tasks are carried out on the Client. Therefore, it greatly reduces the bottleneck situation on Server side in efficient way. Most of tasks are executed on the Server and history data are stored on the Cloud Storage. Firstly, the user’s transportation mode, motorize or nonmotorized, is analyzed on the client side using raw GPS data, instead of submitting frequently raw data to data center. If it is only the motorize mode, some useful traffic data are offloaded to cloud. On the server side, all motorize mode are not taken into account as traffic data. In this case, the mobile data that comes from the same location are recognized as one proves. Later, these data are used as history data for future prediction to perform more accurate traffic information.