ABSTRACT
Urban mobility has become a topic of interest, since the number of vehicles in large cities constantly increases and traffic jams take away from people an increasingly amount of time from their day. We explored an Uber data set with trips from Lima, Peru, to explore how people commute, and attempt to detect behavior similarities in their routines. The assortative measure for the graph that was assembled indicates that there is no linear correlation between the trips in this data set, but this does not mean that all cities around the globe behave in the same manner. Therefore, the study developed here can be used to analyze other cities as desired.
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Index Terms
Exploring Routines in Vehicular Networks
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