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(Intelligent Transport system) during recent years. Through the study of the existing traffic flow prediction model, road traffic flow control model with the slope of the change rate is proposed. The model can find out abnormal point from the traffic flow time series by use of the slope change rate, and it can analyzed this trend of traffic flow changes, thus arrived control purposes of traffic flow. The emulation results indicate that the algorithm is suitable for road traffic flow peak control problem and could be effective measurement for road traffic flow control.
Traffic engineering, traffic flow, slop, change rate, time series.
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Cite this paper
Xiao Qiang, He Rui Chun, Yu Jian Ning, Zhang Wei, Ma Chang Xi. (2017) Road Traffic Flow control model with the slope of the change rate. International Journal of Transportation Systems, 2, 54-61
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