codelibra/Time-series-analysis-nyc-taxi
⏰ 📓 Time series analysis of new york taxi data
This project helps urban planners, transportation analysts, or city researchers understand taxi activity patterns across New York City. It takes raw taxi pickup and drop-off data, organizes it into a grid-based time series, and then identifies unusual or statistically significant events in taxi traffic for specific locations and times. The output provides insights into atypical demand or supply scenarios.
No commits in the last 6 months.
Use this if you need to pinpoint specific locations and times in NYC where taxi activity deviates significantly from expected patterns.
Not ideal if you're looking for predictive models for future taxi demand or real-time operational insights for ride-sharing dispatch.
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Language
Java
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Last pushed
Aug 05, 2017
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