It is predicted that many more consumers will use free telematics smartphone applications, given their increased availability. These telematics services require that servers and consumer devices, such as smartphones and car navigation terminals, transmit large amounts of small data through uplink. Developing methods to decrease the data size that is transmitted is one of the most significant issues in this field because of the cost of transmission for consumers and service providers. In this paper, we propose a new data compression method for application to telematics technology, which deletes redundant data and applies an appropriate compression method for a given situation. We evaluated the proposed method and report positive results.

Smartphones are widely used and have many applications that are free or at a low cost. Therefore, smartphones are widely used as telematics terminals and on-vehicle information devices. Moreover, there are many Wi-Fi offloading areas for mobile computing. However, it is difficult to communicate for a long period with the servers from vehicles with Wi-Fi offloading areas. Therefore, the compression of probe data is very important. In this paper, we show a model for probe data and propose a compression method for probe data that is different from general compression tools. In addition, we show the results of our evaluation of this proposed method.

The increased availability of free telematics smartphone applications is expected to lead to greater consumer usage. Telematics services require that servers and consumer devices, such as smartphones and car navigation terminals, transmit large amounts of different types of data via uplink and downlink. One of the most significant issues in this area is finding methods to reduce the volume of data transmitted because of the transmission costs incurred by consumers and service providers. In this study, we propose a new data compression method for applications that use telematics technology, which deletes redundant data and applies an appropriate compression method. We evaluated our method using probe data and the results were positive.