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Large Scale Intelligent Transportation System Traffic Detector Data Archiving

机译:大型智能交通系统交通检测器数据存档

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Archived traffic data can be used by various entities and agencies. During the past two decades, considerable effort has been dedicated to developing and implementing large-scale traffic data archives. The Wisconsin Traffic Operation and Safety (TOPS) Laboratory maintains a statewide traffic detector data archiving and retrieving system, which is developed to enable centralized management of statewide ITS detector and configuration data and improve interactivity and accessibility for integration with other transportation data sources such as lane closure data or incident data. As the traffic data requirements continue to grow, the management of the traffic data archive becomes a complex big data problem. This paper describes a proposed redesign of the TOPS Lab traffic detector archived data management system to improve storage, performance, access, and integration capabilities. Particular detail is given to the data archiving process, including data validation, and support for spatial attributes and GIS data integration.
机译:归档的交通数据可以由各种实体和机构使用。在过去的二十年中,致力于开发和实施大规模的交通数据档案库。威斯康星州交通运营与安全(TOPS)实验室维护着全州交通检测器数据存档和检索系统,该系统的开发目的是实现对全州ITS检测器和配置数据的集中管理,并提高与其他运输数据源(如车道)集成的交互性和可访问性关闭数据或事件数据。随着交通数据需求的不断增长,交通数据档案的管理成为一个复杂的大数据问题。本文介绍了TOPS Lab流量检测器归档数据管理系统的拟议重新设计,以提高存储,性能,访问和集成功能。详细介绍了数据归档过程,包括数据验证以及对空间属性和GIS数据集成的支持。

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