The cabspotting.org project (now inactive) collected data on each of San Francisco's Yellow Cabs, including position, timestamp and whether there was a paying customer at the time [1]. The dataset has mobility traces of ~500 taxi cabs in San Francisco collected over ~30 days [2].
The presentation below covers all the analysis done in this case study.
main.ipynb has step-by-step analysis and explanations. If you want to re-run the code, install the required packages as suggested below.
git clone https://github.com/ogozuacik/cabspotting_case_study.git
cd cabspotting_case_study
pip install -r requirements.txt
If you have any errors caused by a dependency while running the code, please send me an email. We can try to solve it together, or I can do a demo by sharing my screen.
[1]: http://www.lac.inpe.br/~rafael.santos/Docs/CAP394/Proj_Cabspotting.html
[2]: Piorkowski, Michal, Natasa Sarafijanovic-Djukic, and Matthias Grossglauser. "A parsimonious model of mobile partitioned networks with clustering." 2009 First International Communication Systems and Networks and Workshops. IEEE, 2009.