High-performance computing supported public service framework based on cloud computing for mass information of intelligent traffic

High-performance computing supported public service framework based on cloud computing for mass information of intelligent traffic

Xu Enhu, Lingweizing, Jian, Ma Yunlong

At present, the information resources in the field of intelligent transportation are becoming more and more large, the demand trend of users is more and more diverse, how to provide efficient and real-time public transport services is becoming more and more important, and this paper proposes a public service framework for high performance computing based on cloud computing for intelligent traffic. The framework uses cloud computing model to deal with multi-user needs and mass traffic information, and to provide personalized service dynamically and on demand through the network. Research on the unified management of mass information, shared cloud storage methods. The framework is "data fusion, service encapsulation, process driven" heterogeneous data integration mechanism for management methods, the construction of travel, driving, weather, transportation, induction, management, decision-making and other all-round, many ways, more convenient service system cloud service model, the pursuit of quality, efficient real-time service.

Key words: Intelligent transportation; cloud services

High-performance computing supported public service framework based on cloud computing for mass information of intelligent traffic