Big Data Acquisition and Analysis Platform for Intermodal Transport
Kai Xu, Hong Zhen, Li Yan, Luo Yue · International Journal of Database Theory and Application · 2016
This paper aims for the transparency and visualization of the international intermodal cargo transportation throughout its whole process, achieving a comprehensive monitoring on the multiple transportation means such as by ocean, by air, by land or by rail.Based on Internet-of-Things-based distributed data acquisition technology and the cloud-computing-based big data analysis technology, this paper gives out a Multimodal Monitoring technology that can uniformly solve the comprehensive management of multiple transportation vehicles, which includes a service functionality model, a network hierarchy model and a technology system model.By building a Generic Target Monitoring System, it proves the multimodal monitoring resolution is able to effectively monitor the multiple transportation means and provide a fair good database platform of later analysis, distribution and optimization of those vehicles.