dashboard
Dashboard: Analysis of pedestrian dynamics based on trajectory files
Science Score: 77.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (12.2%) to scientific vocabulary
Keywords
Repository
Dashboard: Analysis of pedestrian dynamics based on trajectory files
Basic Info
Statistics
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 12
- Releases: 0
Topics
Metadata Files
README.md
JuPedSim-Dashboard
Show statistics and make plots extracted from jpscore-simulations and experimental data.

Use
This app can be used online:
https://go.fzj.de/dashboard
or locally by running
bash
streamlit run app.py
To install the requirements use:
bash
pip install -r requirements.txt
Draw geometries
To draw geometries on trajectory-plots, try to connect all lines, such that they form a closed polygon. This is only necessary if you want to visualize the geometry with jpsvis.
You can download your drawing as an xml file according to jupedsim's format
It is possible to draw: - Lines - Rectangles
Lines and rectangle can be rotated and scaled.
To try out: https://go.fzj.de/geometry
Ressources
- Demo: https://youtu.be/4xTqSbllCwg
- Talk in the deRSE23 from some scientific motivation of this project is available here.
NOTE: The script tries to exctract the unit of the data from the trajectory file. A good idea might be to convert the trajetories before using with this script
or add a header with the unit information. For example a line starting with
#unit: cm
Profiles
The density profile uses the speed of the pedestrians calculated by the Weidmann diagram.
Therefore, for jpscore-simulations, use the optional_output-option in the inifile:
xml
<file location="bottleneck_traj.txt" />
<optional_output speed="TRUE"/>
</trajectories>
NT-curve
NT-curves and flow at lines (transitions or area_L)
are calculates be testing for every agent, if croses the line.
Therefore, define in the geometry transitions, such that the pedestrian fully pass them.
Owner
- Name: Pedestrian Dynamics
- Login: PedestrianDynamics
- Kind: organization
- Location: Germany
- Repositories: 5
- Profile: https://github.com/PedestrianDynamics
Pedestrian Dynamics
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Chraibi" given-names: "Mohcine" orcid: "https://orcid.org/0000-0002-0999-6807" title: "ped-dashboard" version: 1.0.0 doi: 10.5281/zenodo.7697604 url: "https://github.com/PedestrianDynamics/dashboard"
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Mohcine Chraibi | m****i@f****e | 202 |
| Mohcine Chraibi | m****i@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 27
- Total pull requests: 6
- Average time to close issues: 4 months
- Average time to close pull requests: about 7 hours
- Total issue authors: 3
- Total pull request authors: 1
- Average comments per issue: 0.26
- Average comments per pull request: 0.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- chraibi (25)
- gintama1227 (1)
- Jakob-KKU (1)
Pull Request Authors
- chraibi (6)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- lovely-logger *
- matplotlib *
- numpy *
- pandas *
- plotly *
- scipy *
- shapely *
- streamlit ==1.9
- streamlit_drawable_canvas ==0.8.0
- actions/checkout v3 composite
- actions/setup-python v3 composite