THE SOLUTIONS TO ORGANIZE DATA FOR TRAFFIC INFRASTRUCTURE MANAGMENT COMBINED

Trinh Cong Duy, Tran Anh Kiet
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Abstract

In the 4.0 revolution, almost every problem is gradually being solved by technology; the pillars are still Cloud Computing, Big Data, AI, and IoT. Among these problems, the problem of the transport sector is fundamental. Because of its unique characteristics, the analysis and collection of survey data are challenging. The unique feature of the data of each transport infrastructure project is that the data is extensive and has many different formats; the information is updated regularly every year according to the process of conserving, renovating, and renovating. Upgrade if using the traditional way of storing and representing data, like the way database management systems and software are used, will not meet the demand. Therefore, it is necessary to implement a solution to build specialized databases, with a special organizational plan according to industry characteristics and the ability to integrate data from specialized applications to have linkage and unity data between authorities. This will be a data platform for exploitation and sharing for professional management work between authorities in the city and the whole country. The planning and maintenance of transportation infrastructure is a practical application. However, there is now interest in a new area of ​​navigation applications in maritime transport and electronic charts. This feature requires GIS support. The transportation system is an essential factor serving the travel needs of the people, helping the production process to take place continuously and operate normally. In our country, transportation is more and more focused. Our country has been building an increasingly complete and developed transportation system; transport infrastructure is considered essential in promoting our country’s economic, cultural and social activities. This paper proposes a solution to organize traffic infrastructure management data in combination with digital maps. Application to edit data of transportation infrastructure information for Hai Chau and Son Tra districts. At the same time, we have also integrated most of the famous map platforms in the world, such as Google Map, BingMap, OpenStreetMap, HereMap, and IOTLink
将组织数据的解决方案与交通基础设施管理相结合
在4.0革命中,几乎每一个问题都在逐渐被技术解决;支柱仍然是云计算、大数据、人工智能和物联网。在这些问题中,运输部门的问题是根本问题。由于其独特的特点,调查数据的分析和收集具有挑战性。各交通基础设施项目数据的独特之处在于数据量大、格式多;每年按照节约、更新、更新的过程定期更新信息。如果使用传统的存储和表示数据的方式,如使用数据库管理系统和软件的方式进行升级,将无法满足需求。因此,有必要实施一个解决方案,建立专门的数据库,根据行业特点制定专门的组织计划,并能够整合来自专门应用程序的数据,实现权限之间的数据联动和统一。这将是一个城市和全国主管部门之间专业管理工作开发和共享的数据平台。交通基础设施的规划和维护是一个实际应用。然而,现在人们对海上运输和电子海图导航应用的新领域感兴趣。此特性需要GIS支持。交通运输系统是满足人们出行需求的重要因素,有助于生产过程的连续进行和正常运行。在我国,交通运输越来越受到关注。我国的交通运输体系日益完善和发达;交通基础设施被认为对促进我国的经济、文化和社会活动至关重要。本文提出了一种结合数字地图组织交通基础设施管理数据的解决方案。应用程序编辑海洲和山特拉地区的交通基础设施信息数据。同时,我们还整合了Google map、BingMap、OpenStreetMap、HereMap、IOTLink等全球大部分知名地图平台
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