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@@ -102,6 +102,7 @@ Detailed explanations of the mathematics and algorithms behind *UXsim* are descr
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Various examples and demos are available as Python scripts and Jupyter notebooks in the GitHub repository of *UXsim*.
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This section introduces three examples to illustrate some of the key features of *UXsim*: simplicity, controllability, and scalability.
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They are also available at the GitHub repository in executable notebooks.
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## Simple example
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average delay of trips: 62.6 s
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delay ratio: 0.385
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```
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The simulation of 810 vehicles for 20 minutes duration was finished in 0.06 seconds.
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The simulation of 810 vehicles for 20 minutes duration was finished in 0.06 seconds a standard office PC.
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It also outputs the figures shown in \autoref{simple_example_res} that visualize the network traffic states.
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In the figures, vehicles travel from left to right.
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The comparison of *UXsim* results and the reference values are shown in \autoref{chicago_compare}.
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Because these values were computed by different methods, we cannot draw precise conclusions about the accuracy of *UXsim*, but at least we can say that the results are well correlated and *UXsim* outputs plausible results.
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# Acknowledgements
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The author would like to thank contributions from [Ewout ter Hoeven](https://github.com/EwoutH) and various feedbacks from they and other users.
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The author would like to thank contributions from [Ewout ter Hoeven](https://github.com/EwoutH) and various feedbacks from they, the reviewers, and other users.
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