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Building Cloud Computing Intelligent Transportation Public Service

Intelligent transportation service can perfectly combine information collection technology, cloud computing technology and advanced information on the basis of sensing infrastructure construction, and integrate and excavate travel information resources to provide humanized services for the public in the whole process of " before, during and after travel" so as to achieve the borderless service level of real-time access to transportation service information at any time and at any place through any communication terminal. At the same time, it can provide real-time public data for relevant management departments of roads, realize good interaction between the public and management departments, and provide corresponding service support for other industries.
From the functional point of view, based on cloud computing technology, it makes full use of all kinds of information resources inside and outside the industry, realizes the distributed storage of data and the high-speed transmission and sharing of data on all platforms within the system, promotes the full integration of heterogeneous data, conducts mining and analysis of fused data, and provides diversified services to users.
Intelligent transportation faces different groups and different fields, and each specific field has corresponding data and services. Therefore, it is built on the basis of data fusion to coordinate services, and then the upper layer dynamically provides multiple intelligent transportation information services to users on demand. The large-scale data processing business of transportation is a computationally intensive application, and resources can be effectively organized and utilized through virtualization technology. Through virtualization technology and cloud computing resource management platform, resource on-demand technology, virtual resource scheduling and centralized resource management are realized. In order to ensure high availability, high reliability and economy, cloud computing generally uses distributed storage to store data, and uses redundant storage to further ensure the reliability of data. By building cloud storage service system based on HDFS, it solves the storage problem of massive data in intelligent transportation. The powerful computing power of cloud computing can effectively analyze and process huge, complex and disordered traffic data, such as traffic data modeling, spatio-temporal indexing, traffic data mining, traffic data distributed processing and traffic flow dynamic prediction. By adopting a cloud service-oriented approach to realize intelligent transportation applications, focusing on public travel information needs, integrating various locations and transportation information resources and services to form a unified transportation information source, and publishing all services to the cloud, the public can obtain various forms of convenient and real-time travel information services.
In the future, intelligent transportation services will play an increasingly important role in transportation. For example, the route guidance service can provide optimal route guidance information and various real-time traffic help information services for road users by comprehensively analyzing traffic influencing factors such as people, cars, roads and so on, while optimizing the route for many travelers, improve the overall road network traffic conditions and create a smooth, convenient and efficient travel environment.

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TIME:August 14-16 2019    ADD:Hefei binhu international convention and exhibition center    TEL:010-51232962 18600171555
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