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

Table 8

Logit regression and ANOVA results in datasets with rates of 1 : 10.

Interval (min)	Variable	Estimation	Std	P value	Exp (estimation)
5	A_a_up	1.376	0.598	0.021	3.958
	B_a_up	1.447	0.783	0.065	4.249
	B_v_up	−0.044	0.016	0.008	0.957
	A_a_dn	1.794	0.787	0.023	6.014
	A_v_dn	−0.038	0.014	0.009	0.963
	B_n_dn	0.229	0.059	0	1.257
	B_v_dn	−0.027	0.012	0.028	0.973
	Constant	−2.334	0.185	0	0.097
15	A_a_up	2.336	0.637	0	10.342
	A_v_up	−0.042	0.011	0	0.959
	B_n_up	0.064	0.036	0.077	1.066
	B_v_up	−0.028	0.009	0.001	0.973
	A_v_dn	−0.022	0.008	0.004	0.978
	B_n_dn	0.123	0.03	0	1.131
	Constant	−2.058	0.141	0	0.128
30	A_a_up	1.737	0.677	0.01	5.678
	A_v_up	−0.04	0.009	0	0.96
	B_n_up	0.078	0.026	0.002	1.081
	B_v_up	−0.014	0.007	0.044	0.986
	A_n_dn	−0.112	0.04	0.005	0.894
	A_a_dn	1.477	0.756	0.051	4.382
	A_v_dn	−0.028	0.009	0.002	0.973
	B_n_dn	0.051	0.027	0.055	1.053
	B_a_dn	1.197	0.465	0.01	3.31
	Constant	−2.187	0.172	0	0.112
45	L_n_up	3.483	1.344	0.01	32.55
	L_a_up	−30.421	11.702	0.009	0
	L_v_up	0.17	0.057	0.003	1.185
	A_a_up	2.522	0.678	0	12.455
	A_v_up	−0.036	0.009	0	0.964
	B_n_up	0.06	0.016	0	1.062
	R_v_dn	0.041	0.021	0.049	1.042
	A_n_dn	−0.091	0.03	0.002	0.913
	A_a_dn	1.626	0.725	0.025	5.086
	A_v_dn	−0.02	0.008	0.017	0.98
	B_a_dn	2.473	0.488	0	11.861
	Constant	−2.863	0.176	0	0.057
60	A_a_up	2.576	0.661	0	13.149
	A_v_up	−0.044	0.008	0	0.957
	B_n_up	0.054	0.013	0	1.055
	A_n_dn	−0.041	0.021	0.05	0.96
	B_a_dn	2.22	0.486	0	9.207
	Constant	−2.765	0.158	0	0.063