@inproceedings{ceb63eae13a8439986191f96cfdaad00,
title = "Trajectory Data Cleansing Using HMM",
abstract = "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.",
keywords = "Hidden Markov model, HMM, Trajectory data cleansing",
author = "Qin Wang and Sun, {Min Te} and Kazuya Sakai",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 46th International Conference on Parallel Processing Workshops, ICPPW 2017 ; Conference date: 14-08-2017",
year = "2017",
month = sep,
day = "5",
doi = "10.1109/ICPPW.2017.15",
language = "???core.languages.en_GB???",
series = "Proceedings of the International Conference on Parallel Processing Workshops",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "8--15",
booktitle = "Proceedings - 46th International Conference on Parallel Processing Workshops, ICPPW 2017",
}