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

Table 7

Logit regression and ANOVA results in datasets with rates of 1 : 3.

Interval (min)	Variable	Estimation	Std	P value	Exp (estimation)
5	A_a_up	1.859	0.667	0.005	6.414
	B_v_up	−0.023	0.011	0.035	0.978
	B_n_dn	0.177	0.062	0.004	1.193
	B_v_dn	−0.035	0.013	0.008	0.966
	Constant	−1.049	0.175	0	0.35
15	A_a_up	2.183	0.767	0.004	8.872
	A_v_up	−0.035	0.012	0.004	0.966
	B_v_up	−0.028	0.008	0.001	0.973
	A_v_dn	−0.018	0.008	0.031	0.982
	B_n_dn	0.137	0.031	0	1.147
	Constant	−0.958	0.154	0	0.384
30	A_a_up	1.932	0.733	0.008	6.904
	A_v_up	−0.038	0.01	0	0.963
	A_n_dn	−0.077	0.044	0.078	0.926
	A_a_dn	1.665	0.851	0.05	5.285
	A_v_dn	−0.033	0.01	0.001	0.968
	B_n_dn	0.046	0.024	0.06	1.047
	B_a_dn	0.96	0.498	0.054	2.612
	Constant	−1.085	0.165	0	0.338
45	L_v_up	0.043	0.024	0.076	1.044
	A_a_up	2.338	0.769	0.002	10.359
	A_v_up	−0.032	0.01	0.001	0.968
	B_n_up	0.048	0.019	0.01	1.049
	R_v_dn	0.102	0.037	0.006	1.108
	A_n_dn	−0.118	0.033	0	0.888
	A_a_dn	1.645	0.827	0.047	5.181
	A_v_dn	−0.02	0.009	0.031	0.98
	B_a_dn	2.501	0.528	0	12.2
	Constant	−1.645	0.191	0	0.193
60	L_v_up	0.059	0.022	0.008	1.061
	R_v_up	−0.09	0.054	0.098	0.914
	A_a_up	2.74	0.766	0	15.486
	A_v_up	−0.046	0.009	0	0.955
	B_n_up	0.072	0.018	0	1.075
	L_v_dn	−0.092	0.045	0.04	0.912
	R_v_dn	0.062	0.029	0.034	1.064
	A_n_dn	−0.081	0.026	0.002	0.922
	B_a_dn	1.614	0.524	0.002	5.023
	Constant	−1.407	0.173	0	0.245