当前位置: X-MOL 学术VLDB J. › 论文详情
One-pass trajectory simplification using the synchronous Euclidean distance
The VLDB Journal ( IF 2.904 ) Pub Date : 2019-10-04 , DOI: 10.1007/s00778-019-00575-8
Xuelian Lin; Jiahao Jiang; Shuai Ma; Yimeng Zuo; Chunming Hu

Various mobile devices have been used to collect, store and transmit tremendous trajectory data, and it is known that raw trajectory data seriously wastes the storage, network bandwidth and computing resource. To attack this issue, one-pass line simplification (\(\textsf {LS} \)) algorithms have been developed, by compressing data points in a trajectory to a set of continuous line segments. However, these algorithms adopt the perpendicular Euclidean distance, and none of them uses the synchronous Euclidean distance (\(\textsf {SED} \)), and cannot support spatiotemporal queries. To do this, we develop two one-pass error bounded trajectory simplification algorithms (\(\textsf {CISED} \)-\(\textsf {S} \) and \(\textsf {CISED} \)-\(\textsf {W} \)) using \(\textsf {SED} \), based on a novel spatiotemporal cone intersection technique. Using four real-life trajectory datasets, we experimentally show that our approaches are both efficient and effective. In terms of running time, algorithms \(\textsf {CISED} \)-\(\textsf {S} \) and \(\textsf {CISED} \)-\(\textsf {W} \) are on average 3 times faster than \(\textsf {SQUISH} \)-\(\textsf {E} \) (the fastest existing \(\textsf {LS} \) algorithm using \(\textsf {SED} \)). In terms of compression ratios, \(\textsf {CISED} \)-\(\textsf {S} \) is close to and \(\textsf {CISED} \)-\(\textsf {W} \) is on average \(19.6\%\) better than \(\textsf {DPSED} \) (the existing sub-optimal \(\textsf {LS} \) algorithm using \(\textsf {SED} \) and having the best compression ratios), and they are \(21.1\%\) and \(42.4\%\) better than \(\textsf {SQUISH} \)-\(\textsf {E} \) on average, respectively.
更新日期:2019-10-04

 

全部期刊列表>>
物理学研究前沿热点精选期刊推荐
chemistry
《自然》编辑与您分享如何成为优质审稿人-信息流
欢迎报名注册2020量子在线大会
化学领域亟待解决的问题
材料学研究精选新
GIANT
自然职场线上招聘会
ACS ES&T Engineering
ACS ES&T Water
ACS Publications填问卷
屿渡论文,编辑服务
阿拉丁试剂right
南昌大学
王辉
南方科技大学
刘天飞
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
天合科研
x-mol收录
X-MOL
苏州大学
廖矿标
深圳湾
试剂库存
down
wechat
bug