Degree Name

Master of Information Systems and Technology - Research


School of Information Systems & Technology


Although modern Smart Car technologies are growing rapidly, there are many challenges to be addressed. The limited processing capabilities of the contemporary in-car computers in smart cars may cause bottlenecks in smart control. The content in smart car applications can hardly be extended. In addition, the traditional software installation approach that is used in smart cars is neither economical nor convenient. To address these issues in smart cars, we introduced a Cloud-based Information Integration Platform for Smart Cars that has the ability to improve flexibility in the smart car information platform and enhance the value of smart cars. In this work, the architecture of the Cloud-based Information Integration Platform was designed by adapting new technologies, such as Cloud computing, Web Services and Controller Area Network (CAN). This service-oriented solution has a vertically integrated architecture that uses full information gathering and service driven synergies. To achieve the smart control and information sharing in smart cars, the designed platform collects data through the CAN bus automatically, analyses and meshes that data to smart car information services in the cloud. We also designed a Smart Car Information Service as the user interface to implement smart car applications through customized business processes. This fills the information processing gap between the smart car and cloud computing. Furthermore, we can use the information integration platform for different usage scenarios, such as car diagnosis, car repair, etc.