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

Table 4

An example of the calculation result (satisfies equations (4), (7), and (8)) of traffic status discrimination in grid (1, 5).

Time	Attribute	Euclidean distance			Congestion
8: 00–8: 10	(0, 0.84)	0.454	Y	Y	Y
8: 10–8: 20	(0.1, 0.60)	0.232	F	F	Y
8: 20–6: 30	(0.11, 0.51)	0.205	F	—	F
8: 30–6: 40	(0, 0.35)	0.350	F	—	F
8: 40–6: 50	(0, 0.72)	0.373	Y	F	Y
8: 50–9: 00	(0.04, 0.95)	0.513	Y	Y	Y
9: 00–9: 10	(0.05, 0.92)	0.480	Y	Y	Y
9: 10–9: 20	(0.09, 1)	0.537	Y	Y	Y
9: 20–9: 30	(0.12, 0.72)	0.286	Y	F	Y
9: 30–9: 40	(0.15, 0.86)	0.384	Y	F	Y
9: 40–9: 50	(0.24, 0.79)	0.289	Y	F	Y
9: 50–10: 00	(0.24, 0.67)	0.171	F	—	F