Module index

Custom Calibration and Modeling Toolbox

This toolbox used to calibrate large-scale SUMO networks using state-of-the-art calibration algorithms. This toolbox is updated constantly to include more algorithms, and allow more flexible simulation and network setups.

Currently, this toolbox only includes the PC-SPSA algorithm.

Please refer to the documentation of respective modules for more details:

• preparation.py
• calibration_algorithms.py
• sumo_operation.py
• evaluation_metrics.py

This toolbox is developed by Chair of Transportation Systems (TSE) at Technical University of Munich (TUM). If you use this toolbox/platform in your workm please cite the following publication:

 @article{qurashi2022dynamic,
   title={Dynamic demand estimation on large scale networks using Principal Component Analysis: The case of non-existent or irrelevant historical estimates},
   author={Qurashi, Moeid and Lu, Qing-Long and Cantelmo, Guido and Antoniou, Constantinos},
   journal={Transportation Research Part C: Emerging Technologies},
   volume={136},
   pages={103504},
   year={2022},
   publisher={Elsevier}
 }

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