# Determine driving styles of a driver

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Ben Morgan 2022 年 4 月 26 日

ZERO = 0
ECONOMIC = 1
NORMAL = 2
AGGRESSIVE = 3
ds_mapping= [ZERO,ECONOMIC,NORMAL,AGGRESSIVE]
for r=0:length(Acceleration)
if(abs(Acceleration(r))<=0.7),
fprintf('\n\tAcceleration = %5.2f m/sec^2:\t Driving Style: ZERO\tCLASS: %d',Acceleration(r),ds_mapping(0))
end
for r=1:length(Acceleration)
if(abs(Acceleration(r))>=0.7),
fprintf('\n\tAcceleration = %5.2f m/sec^2:\t Driving Style: ECONOMIC\tCLASS: %d',Acceleration(r),ds_mapping(1))
end
if(abs(Acceleration(r))>2.79 && Acceleration (r) <= 3.30),
fprintf('\n\tAcceleration = %5.2f m/sec^2:\t Driving Style: NORMAL:\t\tCLASS: %d',Acceleration(r),ds_mapping(2))
end
if(abs(Acceleration (r))>3.63),
fprintf('\n\tAcceleration = %5.2f m/sec^2:\t Driving Style: AGGRESSIVE:\tCLASS: %d', Acceleration(r),ds_mapping(3))
end
end
fprintf('\n\n')
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Ben Morgan 2022 年 4 月 27 日
Hi, so driving style 0 would be anything below 0.7. The question only states 3 driving styles, yet the graph we need to plot has 4 different values the driving style can be. 0, 1, 2 and 3.
Ben Morgan 2022 年 4 月 27 日
-I currently have :
for r=1:length(Acceleration)
if (abs(Acceleration(r)) < 0.7)
disp ('0')
end
if (abs(Acceleration(r)) >= 0.7 && abs(Acceleration(r) < 2.79))
disp ('1')
end
if (abs(Acceleration(r)) >= 2.79 && abs(Acceleration(r) < 3.64))
disp ('2')
end
if (abs(Acceleration(r)) >= 3.64)
disp ('3')
end
end
-And this seems to work. All I need to do now is turn this into a variable so I am able to plot it against time on a graph.

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### 回答 (1 件)

Aman 2024 年 2 月 6 日
Hi Ben,
As per my understanding, you want to classify the driving system based on the acceleration and the mapping table shared and are facing issues while doing so.
You can achieve the same using the code below, where I'm populating the "ds_mapping" based on the mapping table and then creating a line plot with two different variables on both y-axes of the plot. Please not, as the actual acceleration array was not present, so I have created a random acceleration array.
a = -6.5;
b = 6.5;
timeInterval = 1800;
acceleration = a + (b-a) * rand(1,timeInterval);
ds_mapping = [];
for i=1:timeInterval
if(abs(acceleration(i))<0.7)
ds_mapping = [ds_mapping,0];
elseif(abs(acceleration(i))>=0.7 && abs(acceleration(i))<2.79)
ds_mapping = [ds_mapping,1];
elseif(abs(acceleration(i))>=2.79 && abs(acceleration(i))<3.64)
ds_mapping = [ds_mapping,2];
elseif(abs(acceleration(i))>=3.64)
ds_mapping = [ds_mapping,3];
end
end
figure;
hold on;
title("Acceleration and Driving Style classification");
xlabel("Time(s)");
yyaxis left;
plot(1:timeInterval,acceleration,"Color","blue");
ylabel("Acceleration(ms^2)");
ylim([-6.5 6.5]);
yyaxis right;
plot(1:timeInterval,ds_mapping,"Color","cyan");
ylabel("Driving Style");
ylim([0 3]);
hold off;
I hope it helps!

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