遇见数据集

STRIDE Project I2

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NIAID Data Ecosystem2026-03-13 收录
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资源简介:

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

创建时间:
2022-08-30
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