| 书目名称 | Enabling Smart Urban Services with GPS Trajectory Data | | 编辑 | Chao Chen,Daqing Zhang,Hongyu Huang | | 视频video | | | 概述 | Addresses fundamental issues in trajectory data, including data map-matching, data compression, and data protection.Promotes smart mobility services to benefit a wide range of people including drivers | | 图书封面 |  | | 描述 | .With the proliferation of GPS devices in daily life, trajectory data that records where and when people move is now readily available on a large scale. As one of the most typical representatives, it has now become widely recognized that taxi trajectory data provides rich opportunities to enable promising smart urban services. Yet, a considerable gap still exists between the raw data available, and the extraction of actionable intelligence. This gap poses fundamental challenges on how we can achieve such intelligence. These challenges include inaccuracy issues, large data volumes to process, and sparse GPS data, to name but a few. Moreover, the movements of taxis and the leaving trajectory data are the result of a complex interplay between several parties, including drivers, passengers, travellers, urban planners, etc...In this book, we present our latest findings on mining taxi GPS trajectory data to enable a number of smart urban services, and to bring us one step closer tothe vision of smart mobility. Firstly, we focus on some fundamental issues in trajectory data mining and analytics, including data map-matching, data compression, and data protection. Secondly, driven by the re | | 出版日期 | Book 2021 | | 关键词 | GPS trajectory; urban services; smart mobility; spatial-temproal data ananlysis; data compression; map ma | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-0178-1 | | isbn_softcover | 978-981-16-0180-4 | | isbn_ebook | 978-981-16-0178-1 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 19:32:13
