A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows

Table 2

Point estimation of traffic flows after updating observed link flows one by one.

Item	0	5	7	10	13	18
𝑇1	37.16	39.02	39.05	39.86	40.11	39.88
𝑇2	82.88	77.95	78.32	78.63	80.51	81.22
𝑇3	68.37	59.64	59.94	59.23	60.85	59.95
𝑇4	12.68	22.48	22.29	23.28	19.54	19.06
𝑉1	75.00	74.64	74.92	75.26	76.98	77.55
𝑉2	45.00	42.36	42.48	43.28	43.69	43.61
𝑉3	45.00	46.30	46.32	45.73	46.22	46.03
𝑉4	35.00	35.82	35.92	36.78	34.14	32.80
𝑉5	85.00	82.57	82.57	82.57	82.57	82.57
𝑉6	40.00	38.37	38.62	38.37	40.69	41.17
𝑉7	90.00	87.24	87.38	87.38	87.38	87.38
𝑉8	5.00	1.43	1.45	1.55	1.51	1.54
𝑉9	40.00	39.38	39.40	39.31	39.31	39.31
𝑉10	50.00	47.86	47.92	48.07	48.07	48.07
𝑉11	75.00	75.64	75.73	76.24	76.58	76.43
𝑉12	15.00	15.14	15.42	15.44	16.20	15.43
𝑉13	60.00	59.05	59.12	59.71	58.66	58.66
𝑉14	15.00	16.57	16.87	16.99	17.71	16.84
𝑉15	25.00	23.06	23.31	22.89	24.42	23.57
𝑉16	40.00	41.37	41.49	42.22	41.34	41.34
𝑉17	5.00	6.10	6.16	6.29	6.40	6.51
𝑉18	35.00	36.26	36.32	36.40	37.29	37.12
𝑉19	60.00	59.05	59.12	59.71	58.66	58.66