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Accurate traffic flow forecasting is one of the important issues for the research of intelligent transportation system (ITS).The capability to forecast traffic flow has been identified as a critical need for dynamic traffic control system. The embedding phase-space theory treats the dynamic evolution of traffic flow as a chaos time series, and this provides the possibility to forecast short-term traffic...
Traffic flow prediction is an important application in ITS. This paper presents a new method to build a nonlinear forecasting model for daily traffic flow prediction. The method consists of three steps. First, a statistic is offered to determine whether a linear model or a nonlinear model is suitable for a given time series. Second, if a nonlinear model is suitable, then a new algorithm is approved...
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