Traffic Flow Forecasting Model Based on Data Mining

DOI

10.2991/emcs-16.2016.257How to use a DOI?

Keywords

ITS; Data mining; Model; System structure; Technical analysis; Traffic flow

Abstract

The research and application of Intelligent Transportation System has developed rapidly due to the demand on safe convenient comfortable and information-based modern transportation. It is important part of the research of Intelligent Transportation System to study different forms and operation rules on traffic flow and establish rapid stable and effective traffic flow model. With the development of Intelligent Transportation System mass traffic flow data have been accumulated in Intelligent Transportation System. More and more researchers have started to analyze the information of traffic flow by use of advanced data-mining technique and discover hidden transportation mode and regulation amongst the information of traffic flow. Data mining technology provides a powerful analysis and processing function of mass traffic data. This paper analyzes the characteristics of traffic data in intelligent transportation system, and puts forward the system model and the hierarchical architecture of traffic data mining system.

Copyright

© 2016, 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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TY  - CONF
AU  - Xin Guo
PY  - 2016/01
DA  - 2016/01
TI  - Traffic Flow Forecasting Model Based on Data Mining
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1043
EP  - 1046
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.257
DO  - 10.2991/emcs-16.2016.257
ID  - Guo2016/01
ER  -