Demand Prediction of Railway Emergency Resources Based on Case-Based Reasoning

Table 6

Predicted value of method A and method B, as well as actual usage in target cases.

											Take time (second)
Actual usage quantity		8600	17000	280	35	3	180	40	2	45
Method A	Forecast quantity	8625	17425	282	34	3	180	39	2	47	278.32
	Forecast error (%)	0.2907	2.5	0.7143	−2.8571	0	0	−2.5	0	4.4444
Method B	Forecast quantity	10000	20000	300	40	5	250	50	2	55	687.48
	Forecast error (%)	16.279	17.647	7.143	14.286	66.667	38.889	25	0	22.222