Real Urban Traffic Flow Chaotic Phase Space Study

Phase space reconstruction is the base of chaotic traffic flow prediction. To determine objectively the embedding delay time tau and embedding dimension m of real urban traffic flow time series chaotic phase space, we put forward a new kind of average calculation method. For delay time value, we first calculated its value of single day with auto-correlation and improved auto-correlation function, then we averaged seven days´ values to degrade error. As to embedding dimension, we studied it with G-P algorithm and CAO algorithm respectively on base of data processing. Last, the method´s feasibility was tested by analyzing the chaotic characteristics of Ji´nan city traffic flow and the reference parameters were offered, i.e.tau =14 and m=4.