Traffic Flow Prediction and Application of Smart City Based on Industry 4.0 and Big Data Analysis

Algorithm 1

IDT algorithm code.

	Input: import trainset (hotspotsi, m, w)--dataset R;
	Number of times——K;
	Scheme-single-level decision tree;
	Output: composite model.
(1)	Start:
(2)	weight setting——1/[R];
(3)	for(i = 1; i < K; i++);
(4)	Sampling put back—— and forecasting model——;
(5)	Error rate Э of model ;
(6)	if Э > 0.5 return to step 6;
(7)	for (all data in );
(8)	Update the weight of data ;
(9)	end for;
(10)	return to K group training model;
(11)	End.