Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)

Exploration of Real-Time Traffic Information System Based on Big Data Analysis

Authors
Yan Hou
Corresponding Author
Yan Hou
Available Online July 2018.
DOI
10.2991/cecs-18.2018.37How to use a DOI?
Keywords
vehicle networking; big data; real-time road conditions; data repair
Abstract

In order to solve the problem brought about by traffic congestion to people's daily life, this experiment uses the effective combination of intelligent transportation and vehicle networking technology, and proposes the real-time traffic information system based on the vehicle networking end - tube - cloud architecture for mass real-time traffic data. First, the overall architecture of the system is designed and analyzed, and then the related technology of traffic data perception and acquisition is introduced. Secondly, the mode of real-time traffic information data acquisition based on floating car and the characteristics of the initial traffic data are introduced, and a suitable data storage format is designed in accordance with the characteristics of original traffic data collected. Finally, the test is carried out according to the spatiotemporal characteristics of traffic data. The results show that the algorithm used can effectively repair data, and the data repair performance is obviously better than time and space two data repair models. Through the relevant technology, the current road traffic conditions are obtained, and then the information is transferred to traffic management departments and travel personnel. In this way, it can provide the road condition for the travellers real-time and accurately, and help travellers reasonably choose the travel routes, thus alleviating traffic congestion. In a word, real-time traffic information can help traffic management departments to do a good job in traffic management.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
Series
Advances in Computer Science Research
Publication Date
July 2018
ISBN
978-94-6252-571-9
ISSN
2352-538X
DOI
10.2991/cecs-18.2018.37How 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  - Yan Hou
PY  - 2018/07
DA  - 2018/07
TI  - Exploration of Real-Time Traffic Information System Based on Big Data Analysis
BT  - Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
PB  - Atlantis Press
SP  - 211
EP  - 216
SN  - 2352-538X
UR  - https://doi.org/10.2991/cecs-18.2018.37
DO  - 10.2991/cecs-18.2018.37
ID  - Hou2018/07
ER  -