Trajectory Data Cleansing Using HMM

Qin Wang, Min Te Sun, Kazuya Sakai

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

The vehicle trajectory dataset is often contaminated by GPS errors and low sampling rate. Consequently, it is important to cleanse the trajectory dataset before it can be used for any research or application. In this paper, we propose a HMM based system to cleanse and rebuild the missing traveling routes of vehicles in a given trajectory dataset. Considering the candidates of each entry as variables, a set of formulae for the transition probability and observation probability are proposed. The experiments using the OpenStreetMap of Beijing and the taxi trajectory dataset collected by Microsoft Research Lab, Asia confirm that our proposed system significantly improves the quality of the dataset.

原文???core.languages.en_GB???
主出版物標題Proceedings - 46th International Conference on Parallel Processing Workshops, ICPPW 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面8-15
頁數8
ISBN(電子)9781538610442
DOIs
出版狀態已出版 - 5 9月 2017
事件46th International Conference on Parallel Processing Workshops, ICPPW 2017 - Bristol, United Kingdom
持續時間: 14 8月 2017 → …

出版系列

名字Proceedings of the International Conference on Parallel Processing Workshops
ISSN(列印)1530-2016

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???event.eventtypes.event.conference???46th International Conference on Parallel Processing Workshops, ICPPW 2017
國家/地區United Kingdom
城市Bristol
期間14/08/17 → …

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