Probabilistic En Route Sector Traffic Demand Prediction Based upon Statistical Analysis of Error Distribution Characteristics

Table 4

Probabilistic traffic demand prediction results in interval 07: 00-11:59 on May 25, 2014, of Sectors AR01-AR08 (number and probability abbreviated as N and P separately).

Interval	Sector
	AR01		AR02		AR03		AR04		AR05		AR06		AR07		AR08
	N	P	N	P	N	P	N	P	N	P	N	P	N	P	N	P
07:00-07:14	2	30%	0	28%	2	37%	1	33%	5	27%	1	19%	0	27%	1	18%
07:15-07:29	2	45%	1	25%	5	14%	3	48%	3	34%	1	27%	1	31%	2	19%
07:30-07:44	0	47%	2	33%	6	22%	0	34%	8	15%	1	28%	2	25%	1	23%
07:45-07:59	2	35%	3	17%	8	19%	4	29%	13	23%	2	31%	1	31%	0	31%
08:00-08:14	1	15%	3	21%	10	28%	2	25%	13	11%	0	25%	2	21%	1	28%
08:15-08:29	0	27%	4	39%	11	40%	5	37%	8	38%	2	37%	1	26%	3	31%
08:30-08:44	0	25%	6	14%	13	17%	7	56%	12	23%	3	22%	2	29%	0	17%
08:45-08:59	2	31%	7	21%	14	31%	12	28%	20	19%	1	27%	3	31%	2	27%
09:00-09:14	2	47%	6	35%	13	42%	10	35%	21	29%	1	38%	3	26%	2	30%
09:15-09:29	4	39%	8	41%	16	49%	8	24%	13	31%	2	23%	3	18%	1	23%
09:30-09:44	5	42%	9	11%	18	19%	8	26%	14	29%	1	13%	0	17%	1	32%
09:45-09:59	3	22%	9	26%	14	39%	3	29%	11	21%	1	29%	1	31%	0	16%
10:00-10:14	3	44%	11	30%	11	23%	6	34%	9	32%	1	34%	3	28%	1	40%
10:15-10:29	0	15%	7	18%	6	19%	8	26%	9	18%	0	37%	1	27%	2	19%
10:30-10:44	3	39%	10	42%	7	24%	4	21%	10	20%	1	29%	2	19%	1	23%
10:45-10:59	3	51%	9	47%	8	32%	1	15%	12	18%	2	31%	4	25%	0	38%
11:00-11:14	3	29%	10	28%	8	29%	4	23%	14	34%	1	27%	1	30%	4	18%
11:15-11:29	3	47%	11	18%	10	24%	3	34%	20	28%	2	34%	2	41%	2	32%
11:30-11:44	0	13%	8	31%	8	11%	6	19%	16	19%	1	23%	3	33%	2	27%
11:45-11:59	0	15%	11	23%	5	29%	6	38%	17	17%	1	21%	3	29%	1	13%