LSTM-acc-predict

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LSTM-acc-predict

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# Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior #

### List of Files ###

* *RNNspeed-predict.lua*: used for training LSTM networks
* *FFspeed-predict.lua*: used for training feedforward networks

Sample command: 
*th RNNspeed-predict.lua -mixture_size 2 -nn_size 128 -learning_rate 4e-3 -epochs 10 -dropout 0.25*

* *analyze.lua*: propagates simulated trajectories using trained LSTM networks
* *FF_analyze.lua*: propagates simulated trajectories using trained feedforward networks
* The *util* folder contains various scripts called by the main scripts
* The *model* folder contains files that define the structure of the LSTM networks
* The *analysis* folder contains files that were used to propagate and analyze simulated trajectories.  These include:
    * *IDM_fit.ipynb*: used to learn the parameters for the IDM model
    * *compare_traj.jl*: used to find RWSE, KL Divergence, and fraction of negative state values
    * *cross_val.lua* and *ffcv.lua*: scripts that load trained models and propagate simulated trajectories.

**Note:** The data used for this project is not included in this repository.  The reconstructed NGSIM data can be obtained by following the instructions [here](http://multitude-project.eu/enhanced-ngsim.html).

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