Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)

Traffic Flow Data Preprocessing Method Based on Spatio-temporal Similarity

Authors
Ran Tian, Shanwei Li, Guoying Yang
Corresponding Author
Ran Tian
Available Online March 2018.
DOI
10.2991/aetr-17.2018.26How to use a DOI?
Keywords
Spatio-temporal similarity; Traffic flow; Data preprocessing
Abstract

In view of the existing traffic collection system, the information transmission system has many problems such as the failure of the detection device and the failure of data transmission in the data acquisition, transmission and storage operations. In this paper, a method of traffic flow data preprocessing based on spatio-temporal similarity is proposed, which can ensure the data quality of traffic flow basic database by effectively processing dirty data before data extraction and application.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-489-7
ISSN
2352-5401
DOI
10.2991/aetr-17.2018.26How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ran Tian
AU  - Shanwei Li
AU  - Guoying Yang
PY  - 2018/03
DA  - 2018/03
TI  - Traffic Flow Data Preprocessing Method Based on Spatio-temporal Similarity
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 128
EP  - 131
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.26
DO  - 10.2991/aetr-17.2018.26
ID  - Tian2018/03
ER  -