A Novel Discrete DGM (2, 1, ) Model Based on Stochastic Oscillation Sequence and Its Application

Table 5

Comparison of the simulated predictions of the four models on city traffic flow.

Real value (6 : 00–13 : 00)	Model 1		Model 2		Model 3		Model 4
	Simulation value	Simulation error (%)	Simulation value	Simulation error (%)	Simulation value	Simulation error (%)	Simulation value	Simulation error (%)
37908.00	37908.00	0.00	37908.00	0.00	37908.00	0.00	37908.00	0.00
71249.00	71249.00	0.00	71249.00	0.00	71249.00	0.00	71249.00	0.00
76975.00	77695.74	0.94	76975.00	0.00	106884.38	38.86	76975.00	0.00
68285.00	62471.98	8.51	68309.18	0.03	38615.54	41.98	68309.17	0.03
63315.00	69257.98	9.39	63364.37	0.08	82572.46	30.42	63364.36	0.07
56786.00	54360.35	4.27	56140.90	1.14	23777.92	58.13	56140.86	1.13
53642.00	61459.89	14.57	55451.32	3.37	76543.44	42.69	55451.32	3.37
53179.00	46863.66	11.88	50353.73	5.31	29101.87	45.28	50353.72	5.31
Mean relative simulation error (%)	6.19		1.24		32.17		1.23
Real value (14 : 00–18 : 00)	Prediction value	Prediction error (%)	Prediction value	Prediction error (%)	Prediction value	Prediction error (%)	Prediction value	Prediction error (%)
54194.00	54252.94	0.11	57429.00	6.00	95007.87	75.31	57428.95	5.96
58615.00	39935.29	31.87	57023.30	2.72	62775.77	7.09	57148.19	2.50
64593.00	47592.36	26.31	72244.74	11.84	146285.98	126.47	72151.90	11.70
70076.00	33532.16	52.14	81025.43	15.63	134429.88	91.83	81152.04	15.802
74693.00	41436.72	44.52	107448.11	43.85	241524.31	223.35	107361.86	43.73