Traffic Flow Forecasting Model Based on Data Mining

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.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.2991/emcs-16.2016.257 under the license https://creativecommons.org/licenses/by-nc

• https://download.atlantis-press.com/article/25848793.pdf

• https://www.atlantis-press.com/proceedings/emcs-16/25848793,

https://academic.microsoft.com/#/detail/2328571576 under the license cc-by-nc