STRIDE Project I2

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