Exploring the Behavior-Driven Crash Risk Prediction Model: The Role of Onboard Navigation Data in Road Safety

Table 9

Logit regression and ANOVA results in datasets with rates of 1 : 20.

Interval (min)	Variable	Estimation	Std	P value	Exp (estimation)
5	A_a_up	2.549	0.725	0	12.79
	A_v_up	−0.027	0.013	0.046	0.974
	B_v_up	−0.022	0.01	0.022	0.978
	A_a_dn	2.127	0.767	0.006	8.389
	A_v_dn	−0.045	0.014	0.002	0.956
	B_n_dn	0.267	0.056	0	1.306
	B_v_dn	−0.033	0.012	0.008	0.968
	Constant	−2.858	0.185	0	0.057
15	A_a_up	2.245	0.612	0	9.441
	A_v_up	−0.043	0.01	0	0.957
	B_n_up	0.097	0.036	0.007	1.101
	B_v_up	−0.027	0.008	0.001	0.973
	A_v_dn	−0.024	0.008	0.002	0.976
	B_n_dn	0.142	0.03	0	1.152
	Constant	−2.739	0.138	0	0.065
30	A_v_dn	−0.021	0.007	0.001	0.979
	B_a_dn	1.681	0.43	0	5.371
	A_a_up	2.468	0.604	0	11.795
	A_v_up	−0.049	0.009	0	0.952
	B_n_up	0.08	0.019	0	1.083
	B_v_up	−0.013	0.007	0.05	0.987
	Constant	−2.899	0.166	0	0.055
45	A_a_up	3.114	0.583	0	22.508
	A_v_up	−0.044	0.008	0	0.957
	B_n_up	0.053	0.015	0	1.054
	A_n_dn	−0.067	0.026	0.008	0.935
	B_a_dn	2.65	0.461	0	14.158
	Constant	−3.562	0.152	0	0.028
60	A_a_up	3.043	0.63	0	20.973
	A_v_up	−0.044	0.008	0	0.957
	B_n_up	0.04	0.012	0.001	1.041
	A_n_dn	−0.041	0.021	0.045	0.96
	B_a_dn	2.437	0.474	0	11.438
	Constant	−3.528	0.154	0	0.029