Queueing theory in massive transportation

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The discussion focuses on modeling the bus waiting process in Bogota's transportation system using analytic tools, despite the preference for simulation in complex environments. The user proposes a G/G/100/100 model to represent the bus capacity of 100 people but seeks validation on this approach. Respondents emphasize the importance of clearly defining the model's purpose and how its components relate to real-world scenarios. The conversation highlights the need for a thorough understanding of both the system dynamics and the intended outcomes of the analysis. Ultimately, clarity in modeling is essential for accurate representation and analysis of the bus waiting process.
jfimbett
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Hi

I'm working on a project trying to analize the massive transportation system in Bogota (Colombia). I know that simulation tools are better in complex environments but I want to try some analytic tools.

I was thinking how to model the process in which people wait for a Bus. But I don't know really how to model this process.

Suposse the capacity of the BUS is 100 people.

I was thinking of a system G/G/100/100. Am I correct?

Can anyone help me? Thank you.
 
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jfimbett said:
I know that simulation tools are better in complex environments
They are!

but I want to try some analytic tools.

I was thinking how to model the process in which people wait for a Bus. But I don't know really how to model this process.

You'll find that if you think clearly about how to create a simulation, you will be able to state all the information needed to do an analytic solution.

Suposse the capacity of the BUS is 100 people.

I was thinking of a system G/G/100/100. Am I correct?

Whether you are correct or not can only be determined if you use say what you are trying to use this model for. I don't see how you plan to visualize a bus as 100 servers. One cannot say whether a a model fits a situation unless the user explains how the components of the model map to the component parts of reality.
 
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