Urban Mobility For Chisinau
After winning the hackaton, we signed a contract to continue developing our prototype. Our idea consisted of creating the algorithm to improve the trolleybus timetable based on the number of users per hour and day. In additional to parallel development of the mechanism of exchange of transport units available between routes to fill the bus needs in the concrete time interval. We used python, dask pandas, notebook, postgresql and flask. The project is now in testing phase.
UNDP and Chisinau Administration
- Loaded very large .csv files with mobility data using Pandas and Dask.
- Analyzed the data and cleaned it.
- Developed a REST(flask) application for controlling the process.
- Wrote documentation with sphinx.