A Framework of Real-Time Intelligent Transportation System Based on Hybrid Fog-Cloud Computing
Deyu Lin, Ming Yan, Linghe Kong, Ruoxuan Quan, Yong Liang Guan
Abstract
Recent years have witnessed a mounting increase in the loss of lives and properties resulted from low-efficient and unsafe traffic management. However, traditional Intelligent Transportation System (ITS) cannot meet the strict requirements of transportation management on the efficiency, especially in terms of the latency. The emergence of fog computing provides a feasible solution to the aforementioned contradiction. In this article, a framework of Real-time Intelligent Transportation System based on Hybrid Fog-cloud Computing System (RITS-HF) is proposed. All the components of RITS-HF, including the user layer, the fog layer, and the cloud layer in RITS-HF are presented clearly. Subsequently, main functions of RITS-HF are described, which are expected to greatly improve traffic efficiency and strengthen safety. In the meantime, the detailed processes and functions of each layer under different traffic configurations are presented. Finally, the challenges faced by RITS-HF are pointed out and analyzed in detail. RITS-HF is expected to play a vital role in improving the driving safety, increasing traffic efficiency, along with reducing energy consumption to some extent.