Identification of Recurrent Congestion in Main Trunk Road Based on Grid and Analysis on Influencing Factors

Table 6

An example of the calculation result (satisfies equations (4), (7), (8), and (10)) of traffic status discrimination in grid (3, 2).

Time	Attribute	Euclidean distance			Congestion
16: 00–16: 10	(0.27, 0.65, 0.48)	0.134	F	—	F
16: 10–16: 20	(0.18, 0.77, 0.72)	0.356	Y	F	Y
16: 20–16: 30	(0.24, 0.60, 0.60)	0.180	F	—	F
16: 30–16: 40	(0.15, 0.44, 0.55)	0.308	F	—	F
16: 40–16: 50	(0.11, 0.63, 0.71)	0.348	Y	F	Y
16: 50–17: 00	(0.17, 0.69, 0.72)	0.333	Y	F	Y
17: 00–17: 10	(0.26, 0.56, 0.52)	0.114	F	—	F
17: 10–17: 20	(0.14, 0.60, 0.87)	0.447	Y	F	Y
17: 20–17: 30	(0.14, 0.58, 0.79)	0.378	Y	F	Y
17: 30–17: 40	(0.07, 0.62, 0.75)	0.395	Y	F	Y
17: 40–17: 50	(0.22, 0.50, 0.59)	0.197	F	—	F
17: 50–18: 00	(0.10, 0.42, 0.60)	0.329	F	—	F