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原文传递 Establishing Multisource Data-lntegration Framework for Transportation Data Analytics

题名：	Establishing Multisource Data-lntegration Framework for Transportation Data Analytics
正文语种：	英文
作者：	Zhiyong Cui;Kristian Henrickson;Salvatore Antonio Biancardo;Ziyuan Pu;Yinhai Wang
作者单位：	Dept, of Civil and Environmental Engineering, Univ
摘要：	In recent years, with the advancement in traffic sensing, data storage, and communication technologies, the availability and diversity of transportation data have increased substantially. When the volume and variety of traffic data increase dramatically, integrating multi source traffic data to conduct traffic analysis is becoming a challenging task. The heterogeneous spatiotemporal resolutions of traffic data and the lack of standard geospatial representations of multisource data are the main hurdles for solving the traffic data-integration problem. In this study, to overcome these challenges, a transportation data-integration framework based on a uniform geospatial roadway referencing layer is proposed. In the framework, on the basis of traffic sensors' locations and sensing areas, transportation-related data are classified into four categories, including on-road segment-based data, off-road segment-based data, on-road point-based data, and off-road point-based data. Four data-integration solutions are proposed accordingly. An iterative map conflation algorithm as a core component of the framework is proposed for integrating the on-road segment-based data. The overall integration performance of the four types of data and the efficiency of the iterative map conflation algorithm in terms of percentage of integrated roadway segments and computation time are analyzed. To produce efficient transportation analytics, the proposed framework is implemented on an interactive data-driven transportation analytics platform. Based on the implemented framework, several case studies of real-world transportation data analytics are presented and discussed.
出版日期：	2020.01
出版年：	2020
期刊名称：	Journal of Transportation Engineering
卷：	Vol.146
期：	No.05
页码：	04020024