Short-Term traffic flow forecasting based on grey delay model

Authors:
Huan Guo;Xinping Xiao;Yuxiao Tang
Affiliations:
College of Science, Wuhan University of Technology, Wuhan, China;College of Science, Wuhan University of Technology, Wuhan, China;School of Finance, Zhongnan University of Economics and Law, Wuhan, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

Citing 2
Cited 0

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

Expert Systems with Applications: An International Journal
An aggregation approach to short-term traffic flow prediction

IEEE Transactions on Intelligent Transportation Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Under the real circumstances of traffic flow's grey features and traffic system's delay effect, this paper construct a grey delay model (GM (1,1,τ) model) and investigate relevant properties, Finally, we complete a traffic experiment on the section of Youyi Avenue, estimate the delay time of the system and establish the delay model. The comparison between the delay model with the GM(1,1) model without considering practical conditions of the traffic system shows that incorporating existing delay effect of the traffic system into the model can reasonably reflect the characteristics of the system and provide satisfactory predictions.