Analyze traffic|Legit essays

Posted: January 25th, 2023

Rupert sells daily newspapers on a street corner. Each morning he must buy the same fixed number q of
copies from the printer at c = 55 cents each, and sells them for r = $1.00 each through the day. He’s
noticed that demand D during a day is close to being a random variable X that’s normally distributed
with mean of 135.7 and standard deviation of 27.1, except that D must be a nonnegative integer to
make sense, so D = max(X,0) where . rounds to the nearest integer (Repurt’s not your average news
vendor). Further, demands form day to day are independent of each other. Now if demand D in a day is
no more than q, he can satisfy all customers and will have q – D
 0 papers left over, which he sells as
scrap to the recycler on the next corner at the end of the day for s = 3 cents each (after all, it’s old news
at that point). But if D > q, he sells out all of his supply of q and just misses those D –q > 0 sales. Each day
starts afresh, independent of any other day, so this is a single-period problem, and for a given day is
static model since it doesn’t matter when individual customers show up the day. Develop a spreadsheet
model to simulate Rupert’s profits for 30 days, and analyze the result.

SOLUTION

Traffic analysis is the process of collecting, analyzing and interpreting data related to the movement of vehicles on a roadway network. It can be used to identify patterns and trends in traffic flow, detect bottlenecks and congestion, and evaluate the effectiveness of traffic management strategies.

The data used for traffic analysis can be collected through a variety of methods, including manual counts, automated sensors, and GPS tracking. The analysis of this data can be done using various techniques such as statistical analysis, mathematical modeling and simulation. This information can be used to improve traffic flow, reduce congestion, and enhance safety for all roadway users.