Big data analytics with NYC taxicab data
Abstract
In recent years, the fast development of pervasive computing technologies gives us access to a variety of big data sources, such as mobile phone users, bank note movements and twitter posts etc. It provides unprecedented opportunities to conduct urban studies and contributes to the sustainable and efficient development of large cities. While big data is an invaluable treasure, our knowledge is limited due to lack of appropriate tools to analyze the data. Hence, this thesis is mainly focused on demonstrating how taxicab data can be used to study urban travel patterns and explore useful insights.
Degree
M.S.E.
Advisors
Satish, Purdue University.
Subject Area
Transportation planning
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