A Metaheuristic Approach to Map Driving Pattern for Analyzing Driver Behavior Using Big Data Analysis

Algorithm 2

Definition of the mutual relationship based on the driver accessed level.

	Step 1: Input R-Fds dataset.
	Step 2: choose the label of features
	Step 3: validate the enhancing values of margin weights Mgw ← R-Fds{dr1, dr2,}
	Step 4: Process every data point as ForMgw ⟶ 1 = 0, 1, 2, as subdividing feature partition
	Choose the relational values of class labels Im ⟶ {Fuel, speed, brake, …}
	Process Low If weight scale Mean rate (Im)
	MR ⟶ inner feature Ot(i ∗ Mgw) = all partitions except i.
	Similarly, as Where outer set ⟶ Ot(i), Innerset ⟶ It(i)
	Process up to Ot(i), = the i’th partition as MR
	Check initialization For j = 0, 1, …, m
	Calculate Mutual behavior Distance St Measure (Fs) with j intnte feature set Fs
	I ⟶ i + Fs;
	J loop end
	Progress estimate Max feature s from Ifs
	Return the Ifs feature
	Step 5: Sort feature as a redundant feature scale and choose the scale value.