Exploring the Influence of Truck Proportion on Freeway Traffic Safety Using Adaptive Network-Based Fuzzy Inference System

Table 6

The estimated input membership parameters and the estimated consequent parameters of sugeno linear function.

Type of conflict	Input	Type of membership function	Membership	Estimated parameters [ ]
General conflict	Traffic volume ()	Guassmf	Low	(169.9 2200)
			Slightly low	(169.9 2600)
			Medium	(169.9 3000)
			Slightly high	(169.9 3400)
			High	(169.9 3800)
	Truck proportion ()		Low	(0.2141 0.07092)
			Middle	(0.1942 0.5095)
			High	(0.2349 0.903)
Serious conflict	Traffic volume ()		Low	(169.9 2200)
			Slightly low	(169.9 2600)
			Medium	(169.9 3000)
			Slightly high	(169.9 3400)
			High	(169.9 3800)
	Truck proportion ()		Low	(0.14 0.1887)
			Middle	(0.1669 0.3561)
			High	(0.1379 0.7708)
Traffic volume Truck proportion
Type of conflict	(Output)			(Constant)
General conflict	u1	0.0003174	−11.85	1.385e-07
	u2	0.0009358	12.29	5.308e-07
	u3	0.01711	−43.66	7.958e-06
	u4	−0.0007657	87.62	−1.918e-7
	u5	−0.03563	215	−1.309e-05
	u6	−0.0527	131.6	−1.96e-05
	u7	−0.03184	1604	−1.06e-05
	u8	−0.1856	1076	−6.207e-05
	u9	−0.1834	553.2	−6.134e-05
	u10	0.004113	−237.3	1.132e-06
	u11	0.03614	−201.1	1.024e-05
	u12	0.0132	−33.25	3.551e-06
	u13	−0.0004658	107.8	−1.101e-07
	u14	−0.02468	244.8	−6.408e-06
	u15	−0.05842	226.9	−1.532e-05
Serious conflict	u1	0.001342	17.4	4.692e-07
	u2	−0.001864	33.97	−1.111e-07
	u3	−0.005815	31.57	−2.654e-06
	u4	0.03195	576	1.226e-05
	u5	−0.1677	846	−6.429e-05
	u6	0.0007217	−0.7736	2.536e-07
	u7	0.007582	332	2.606e-06
	u8	−0.0504	300.4	−1.724e-05
	u9	−0.001501	5.846	−4.463e-07
	u10	0.007593	173.4	2.226e-06
	u11	−0.03741	254.7	−1.1e-05
	u12	−0.01781	76.92	−5.225e-06
	u13	0.01283	173.4	3.387e-06
	u14	−0.04989	397	−1.32e-05
	u15	−0.005832	23.13	−1.556e-06