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Traffic lights placed at highway on-ramps which alternate between stop (red light) and go (green light) at fixed time intervals; e.g., every 10 seconds, A. convert the arriving traffic from following a normal distribution to following an exponential distribution. B. convert the arriving traffic from following an exponential distribution to following a normal distribution. C. convert the arriving traffic from following a uniform distribution to following a Poisson distribution. D. convert the arriving traffic from following a Poisson distribution to following a uniform distribution

Practical Management Science

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter12: Queueing Models

Section12.5: Analytic Steady-state Queueing Models

Problem 18P

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Traffic lights placed at highway on-ramps which alternate between stop (red light) and go
(green light) at fixed time intervals; e.g., every 10 seconds,

A. convert the arriving traffic from following a normal distribution to following an exponential
distribution.
B. convert the arriving traffic from following an exponential distribution to following a normal
distribution.
C. convert the arriving traffic from following a uniform distribution to following a Poisson
distribution.
D. convert the arriving traffic from following a Poisson distribution to following a uniform
distribution

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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