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STRIDE Project I2

<p>The datasets contain three parts: 1) Inputs;2)Outputs;3) README(data dictionary and instructions)</p> <p>1. Inputs:<br> &nbsp; &nbsp; - uber_imgs.zip file: Contains screenshots collected from Uber drivers around Birmingham, AL. [will leave it to Mostafa for more details]<br> &nbsp; &nbsp; - excel_files folder: Contains annotations done by students. Each student was assigned about 60 images to annotate.<br> &nbsp; &nbsp; - instructions.pdf file: Contains instructions on how to annotate an Uber-trip&#39;s screenshot.<br> 2.Outputs:<br> &nbsp; &nbsp; - MATSim: (https://www.matsim.org/)<br> &nbsp; &nbsp; &nbsp; &nbsp; - experiments folder:<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - experiment_no_uber folder: This experiment simulate traffic without uber driver. Only cars and public transit.<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; It contains inputs files needed to execute the experiment and &quot;output_events.xml.gz&quot; which contains the output events.&nbsp;<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Use &quot;network.xml&quot; (same for all experiments) and &quot;output_events.xml.gz&quot; to visualize the traffic using Via. (https://simunto.com/via/)<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - experiment_uber_200 folder: This experiment simulate traffic with 200 uber drivers.<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - experiment_uber_400 folder: This experiment simulate traffic with 400 uber drivers.<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - experiment_uber_800 folder: This experiment simulate traffic with 800 uber drivers.<br> &nbsp; &nbsp; - visualization folder:<br> &nbsp; &nbsp; &nbsp; &nbsp; - D3 folder: (https://d3js.org/)<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - demo.html: a demo to run D3 visualization in broswer. It shows uber trips origin-destination from different Zip Codes.<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - vis-uber.zip: contains the source code and instructions how to run it.<br> &nbsp; &nbsp; &nbsp; &nbsp; - Folium folder: (https://python-visualization.github.io/folium/)<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - Trajectory_Viz.html: shows some Uber trajectories using Folium heatmap.<br> &nbsp;</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

Dataset details

Repository
zenodo
Published
August 25, 2022
License
cc-by-4.0
DOI
10.5281/zenodo.7026058

Scored with release 0.9.0

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