Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks

Table 5

of passenger flow (%).

O	D
		0	1.85	1.65	9.29	6.43	2.26	8.92	2.8	6.86	28.07	1.11	6.07	1.08	1.03	22.58
	13.37	0	0.74	11.27	9.7	5.83	12.77	3.65	4.39	20.84	0.6	4.52	0.89	0.68	10.75
	30.6	1.81	0	28.33	5.67	1.9	5.31	1.82	2.91	11.62	0.58	2.76	0.29	0.22	6.18
	56.36	9.51	8.32	0	4.43	0.97	3.08	1.44	2.02	8.6	0.28	1.04	0.1	0.09	3.76
	28	5.68	1.28	3.45	0	0.77	5.3	1.18	4.94	44.12	0.35	1.72	0.08	0.11	3.02
	34.24	11.91	1.18	2.57	2.57	0	1.54	1.64	3.85	36.65	0.26	0.98	0.1	0.1	2.41
	38.16	6.88	1.05	2.5	5.23	0.58	0	0.36	2.69	33.76	0.38	2.01	0.1	0.11	6.19
	33.47	7.15	0.94	3.28	3.87	1.69	1.49	0	3.92	38.72	0.4	1.69	0.05	0.1	3.23
	49.35	4.46	1.02	2.51	8.68	2	5.18	1.66	0	7.2	0.61	4.22	0.29	0.56	12.26
	36.25	3.53	0.75	1.81	13.13	3.28	10.3	3.48	1.55	0	0.96	7.21	0.39	0.49	16.87
	40.6	4.39	1.24	1.65	3.29	0.55	3.16	0.96	2.74	24.01	0	3.57	0.41	0.54	12.89
	32.23	3.05	0.53	1.27	2.31	0.43	3.05	0.6	3.36	35.18	0.75	0	0.51	0.6	16.13
	43.67	4.35	0.68	0.95	0.82	0.27	1.23	0.14	1.36	11.16	0.54	2.86	0	0.68	31.29
	34.08	2.59	0.49	0.62	0.99	0.25	1.11	0.25	2.59	12.96	0.49	3.34	0.49	0	39.75
	48.74	3.3	0.58	1.36	1.53	0.34	2.95	0.45	3.52	26.81	0.76	5.15	1.8	2.71	0