Predicting Real-Time Crash Risk for Urban Expressways in China

Table 2

The errors of different models under different data training conditions.

Data selection period (prior to crash occurrence)	Logistic regression		Decision tree		SVM		Decision tree-ANFIS
	Training error	Testing error	Training error	Testing error	Training error	Testing error	Training error	Testing error
0 to 5 min	0.457	0.462	0.456	0.541	0.450	0.427	0.448	0.466
0 to 10 min	0.462	0.465	0.361	0.485	0.364	0.359	0.361	0.383
0 to 15 min	0.463	0.478	0.320	0.334	0.325	0.322	0.322	0.337
0 to 20 min	0.465	0.459	0.303	0.328	0.314	0.314	0.310	0.313
0 to 25 min	0.466	0.490	0.299	0.307	0.303	0.312	0.303	0.309
0 to 30 min	0.464	0.458	0.292	0.303	0.302	0.302	0.280	0.291