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The Jupyter notebooks at the root contains the workflow of how we solved the problems we encountered. Especially, the notebook NN.ipynb is the pipeline of our implementation of Neural Network.
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The utils folder contains all the python classes we created. They are in a modular manner and well documented.
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The NN1_model_summary contains information and plots not shown in the reports as well as additional information concerning NN1. The NN2_model_summary contains information and plots not shown in the reports as well as additional information concerning NN2.
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The vadere-code folder contains the files we modified and added to the vadere simulation, mainly kNearestPedestrianProcessor
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The vadere-project contains the vadere project with all the scenarios, including bottleneck andcorridor with different parameters etc.
Junle Li, Oliver Beck, Chenqi Zhou