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    Project Summary, Objectives and Expected Impacts
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    D1.1 User and stakeholder requirements for automated transport in logistics
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    MODI TCO simulation scripts for CCAM in logistics
    IS.1 - Automated loading/unloading of autonomous trucks
    IS.2 - Enabling co-existence of human and automated trucks in ports & terminals
    IS.3 - Automated trucks motorway-to-harbour transition
    IS.4 - Hub-to-Hub Freight Automation
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https://youtu.be/IJ6xc52Zw94
 

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  2. MODI – A leap towards SAE L4 automated driving features
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  4. MODI TCO simulation scripts for CCAM in logistics

MODI TCO simulation scripts for CCAM in logistics

Completion requirements

In the enclosed compressed file you find scripts to run the Total Cost of Ownership (TCO) simulations for CCAM in logistics, described in Deliverable 1.4: Future business models for connected and automated logistics.

The scripts are written in Matlab code, and are compatible with Matlab and the free software OCTAVE (https://octave.org/). A basic knowledge of Matlab coding, Monte Carlo analysis, and TCO calculation is necessary to understand and adjust these files.

Manual:

1. Save the files onto your computer and open the folder of the logistic use case you want to access with Matlab or OCTAVE.

2. Open 'Masterfile', in this file the parameters of the logistic operation are defined, and the general calculations are coded. Adjust the parameter values to fit your logistic case, keep the format of the expected lowest, mean and maximum value.

2. The parameter values regarding the diesel truck, EV, AEV can be adjusted in 'TCO_Diesel', 'TCO_Electric', 'TCO_Electric_automated', respectively.

3. The Monte Carlo analysis can be run for a triangular or uniform distribution, activate 'TCO_Numbers' for a triangular distribution in the 'Masterfile', or 'TCO_Numbers_Uniform' for a uniform distribution.
Default a uniform distribution is applied.

4. Once the settings are adjusted to your logistic use case, you can run 'Masterfile'. A Monte Carlo analysis of 10 000 runs will be conducted. Default the sensitivity analysis will run and the figures will be plotted.

5. Use the results to increase your understanding of the TCO for different CCAM logistic use cases. Apply your own assumptions, and assess their effect.

ALICE and the MODI project make these scripts available for non-commercial and research purposes. The proposed parameter values are based on surveys and interviews conducted in the MODI project. ALICE and the MODI project do not garanty that these assumed parameter values will become true in the future or are valid for each logistic use case. 

Questions? Or interested to share your opinion on the assumed parameter values? 
Reach out to Stefanie Van Damme (stefanie.vd@etp-alice.eu)

    • MODI_TCOsimulationsCCAM_MonteCarlo.zip MODI_TCOsimulationsCCAM_MonteCarlo.zip
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