Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms

Table 6

Training and testing time for each of the three learned models for short-term traffic prediction. Results indicate that these learned models will scale well for short-term predictions in large road networks.

	Average training time for 57600 samples (seconds)	Average prediction time for one input sample (milliseconds)
ANN	283.8	0.16
RF	1154	82.08
SVR	4.743	0.0223