Table 1: Driving styles associated with acceleration values
Driving style Economic (1) Normal(2) Aggressive(3)
Acceleration magnitude [m/s2 ]
Economic (1)
0.7-2.3
Normal(2)
2.31-3.30
Aggressive(3)
3.31-8.5
Create variable ds mapping to store corresponding classification values of 1,2 or 3, which represent different driving style as shown in Table 1. You need to evaluate only the magnitude the of the acceleration/deceleration
close all,
clear all,
clc,
%{
Table 1: Driving styles associated with acceleration values
Driving style Economic (1) Normal(2) Aggressive(3)
Acceleration magnitude [m/s2 ]
Economic (1) 0.7-2.3
Normal(2) 2.31-3.30
Aggressive(3) 3.31-8.5
Create variable ds mapping to store corresponding classification values of 1,2 or 3,
which represent different driving style as shown in Table 1.
You need to evaluate only the magnitude the of the acceleration/deceleration
%}
ECONOMIC = 1;
NORMAL = 2;
AGGRESSIVE = 3;
% Acceleration magnitude [m/s2] 0.7-2.3 2.31-3.30 3.31-8.5
Acc = [0.7, -2.3, 2.31, -3.30, 3.31, -8.5];
ds_mapping = [ECONOMIC,NORMAL,AGGRESSIVE];
for r=1:length(Acc)
if(abs(Acc(r))<=2.3),
fprintf('\n\tAcceleration = %5.2f m/sec^2:\t Driving Style: ECONOMIC\tCLASS: %d',Acc(r),ds_mapping(1));
end
if(abs(Acc(r))>2.3 && Acc(r) <= 3.30),
fprintf('\n\tAcceleration = %5.2f m/sec^2:\t Driving Style: NORMAL:\t\tCLASS: %d',Acc(r),ds_mapping(2));
end
if(abs(Acc(r))>3.3),
fprintf('\n\tAcceleration = %5.2f m/sec^2:\t Driving Style: AGGRESSIVE:\tCLASS: %d',Acc(r),ds_mapping(3));
end
end
fprintf('\n\n');
Matlab Output:
Acceleration = 0.70 m/sec^2: Driving Style: ECONOMIC CLASS: 1
Acceleration = -2.30 m/sec^2: Driving Style: ECONOMIC CLASS: 1
Acceleration = 2.31 m/sec^2: Driving Style: NORMAL: CLASS: 2
Acceleration = -3.30 m/sec^2: Driving Style: NORMAL: CLASS: 2
Acceleration = 3.31 m/sec^2: Driving Style: AGGRESSIVE: CLASS: 3
Acceleration = -8.50 m/sec^2: Driving Style: NORMAL: CLASS: 2
Acceleration = -8.50 m/sec^2: Driving Style: AGGRESSIVE: CLASS: 3
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