Modeling and Querying Trajectories using Neo4j Spatial and TimeTree for Carpool Matching

Abstract—With the the exponential growth of location aware
devices, analysis of human movements has been the subject of
several studies. Problems related to urban mobility such as
vehicle congestion are serious concern in cities. Carpooling is one
of the solutions to soften congestion problem. This paper presents
a novel matching method for carpooling. Trajectories are firstly
modeled using Neo4j spatial and Neo4j TimeTree libraries. Then,
temporal and locational filtering steps are operated. We
extensively evaluate the efficiency and efficacy of the proposed
system on Geolife trajectory dataset.


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Büyük Veri, Paralel İşleme ve Akademisyenlik [Link]

Veri Analitiği & Büyük Veri [Link]

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