TMIP-EMAT: Exploratory Modeling and Analysis Tool
TMIP-EMAT is a methodological approach to exploratory modeling and analysis. It provides a window to rigorous analytical methods for handling uncertainty and making well informed decisions using travel forecasting models of all types. It is designed to integrate with an existing transportation model or tool to perform exploratory analysis of a range of possible scenarios.
The methodologies demonstrated in this toolset build on and extend the capabilities of the EMA Workbench.
Documentation for this tool is published at http://tmip-emat.github.io.
Metadata
Release files for emat 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| emat-0.6.1.tar.gz | 674.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| emat-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / emat-0.6.1.tar.gz
| Download URL | emat-0.6.1.tar.gz |
|---|---|
| Size | 674.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.12.8
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Transparency logRelease files / emat-0.6.1-py3-none-any.whl
| Download URL | emat-0.6.1-py3-none-any.whl |
|---|---|
| Size | 758.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
242c4c9a2994b93b8fb2fb805e20ef327de2c754c5d7e3417b81d2d974237752
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Provenance
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