/NYC-Transportation-Method-Selection

This is a real-time and big data analytic research project of travel efficiency during rush hours on two of the most commonly known transportation methods, Citibike and For-Hire Vehicles (FHV), in New York City. Our primary objective is to develop a comprehensive understanding of both Citibike and FHV traffic patterns and to be able to recommend traffic options with more efficient travel time during rush hours for people.

Primary LanguageJava

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