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Exploring Routines in Vehicular Networks

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Published:16 November 2020Publication History

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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        cover image ACM Conferences
        MobiWac '20: Proceedings of the 18th ACM Symposium on Mobility Management and Wireless Access
        November 2020
        148 pages
        ISBN:9781450381192
        DOI:10.1145/3416012

        Copyright © 2020 ACM

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        Publication History

        • Published: 16 November 2020

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