- Initialize the Vector: Create a vector of length 24×60×6024×60×60 for each second in a day, initially filled with the non-peak weight.
- Define Peak Hours: Determine the ranges for peak hours. For example, morning peak hours might be from 7 AM to 9 AM, and evening peak hours from 5 PM to 7 PM.
- Assign Weights: Assign a higher weight to the peak hours. In MATLAB, you can directly access and modify specific ranges of the vector using indices.
seconds_in_day = 24 * 60 * 60;
weights = ones(seconds_in_day, 1);
morning_peak_start = 7 * 60 * 60;
morning_peak_end = 9 * 60 * 60;
evening_peak_start = 17 * 60 * 60;
evening_peak_end = 19 * 60 * 60;
weights(morning_peak_start:morning_peak_end) = 2;
weights(evening_peak_start:evening_peak_end) = 2;
mid_day_start = 12 * 60 * 60;
mid_day_end = 14 * 60 * 60;
weights(mid_day_start:mid_day_end) = 1.5;
time_hours = (1:seconds_in_day) / (60*60);
plot(time_hours, weights);
title('Weighted Function for Train Ridership Over a Day');
Initializes a vector weights that represents the weight for each second in a day, assigns a default weight of 1 for non-peak hours, and then assigns a weight of 2 for designated peak hours. You can adjust the times and weights as needed based on your specific requirements or data.
This weighted vector can now be used to modulate your original data vector (representing the number of people taking the train each second) to more accurately reflect daily ridership patterns, including the impact of peak and non-peak hours.
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