Research Progress of Short Term Traffic Flow Prediction Methods
Xiao Jing-xin
Resumen de tlooto
The attributes and requirements of traffic flow were introduced, and the prediction methods were fallen into 4 categories:linear, nonlinear, hybrid, and traffic flow based.
Resumen
Real-time,accurate and efficiency short term traffic flow prediction is one of the key technologies to realize traffic flow guidance and traffic control,which has being widely concerned in the domain of ITS during recent years.Firstly,the attributes and requirements of traffic flow were introduced in this paper.Then,the prediction methods were fallen into 4 categories:linear,nonlinear,hybrid,and traffic flow based.The present forecasting models' advantages and disadvantages were summarized and commented at the same time.Subsequently,the hot topics in the field of traffic flow prediction were also discussed.Finally,the future research direction is pointed out.
Formato de cita
JING-XIN, Xiao. Research progress of short term traffic flow prediction methods. Journal of Transportation Engineering and Information, 2009.