Exploring the Energy Efficiency of Electric Vehicles with Driving Behavioral Data from a Field Test and Questionnaire

Table 5

Performance of regression model.

		Best performance input indicators	MAPE	RMSE	Adjusted
Smooth Traffic	Scenario 1: Driving behavior data	Energy Regeneration+ Variation of Steering Wheel	3.52%	4.68	0.72	0.77
	Coefficients	0.016, 0.85
	Scenario 2: DSQ scores data	Factor 2+ Factor 3+ Factor 5+ Factor 6+ Factor 7	2.93%	3.44	0.85	0.91
	Coefficients	-4.34, 4.77, 1.94, -6.04, 6.68
	Scenario 3: Driving behavior data +DSQ scores data	Variation of Steering Wheel+ Factor 2+Factor 5+ Factor 6+ Factor 7	2.57%	2.68	0.91	0.95
	Coefficients	0.56, -1.99, 2.20, -3.32, 4.55
Congested Traffic	Scenario 1: Driving behavior data	Constant Speed Share+ Average Acc+ Average Dec+ Energy Regeneration+ Variation of Steering Wheel	7.24%	6.20	0.69	0.82
	Coefficients	-345.85, 67.42, 20.89, 0.07, 2.19
	Scenario 2: DSQ scores data	Factor 1+ Factor 3+ Factor 5+ Factor 6+ Factor 7+ Factor 8	4.06%	5.92	0.72	0.86
	Coefficients	3.88, 6.79, 1.79, -9.97, 3.72, 6.52
	Scenario 3: Driving behavior +DSQ scores data	Constant Speed Share+ Average Acc+ Variation of Steering Wheel+ Factor 3+ Factor 6+ Factor 8	3.17%	3.00	0.90	0.94
	Coefficients	-320.25, 53.88, 0.60, 5.84, -4.10, 4.85