Distributed Mining of Popular Paths in Road Networks

Panagiota Katsikouli, Maria Astefanoaei, Rik Sarkar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider the problem of finding large scale mobility patterns. A common challenge in mobility tracking systems is that large quantity of data is spread out spatially and temporally across many tracking sensors. We thus devise a spatial sampling and information exchange protocol that provides probabilistic guarantees on detecting prominent patterns. For this purpose, we define a general notion of significant popular paths that can capture many different types of motion. We design a summary sketch for the data at each tracking node, which can be updated efficiently, and then aggregated across devices to reconstruct the prominent paths in the global data. The algorithm is scalable, even with large number of mobile targets. It uses a hierarchic query system that automatically prioritizes important trajectories – those that are long and popular. We show further that this scheme can in fact give good results by sampling relatively few sensors and targets, and works for streaming spatial data. We prove differential privacy guarantees for the randomized algorithm. Extensive experiments on real GPS data show that the method is efficient and accurate, and is useful in predicting motion of travelers even with small samples.
Original languageEnglish
Title of host publicationProceedings of the 2018 14th International Conference on Distributed Computing in Sensor Systems (DCOSS)
Place of PublicationNew York, NY, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-8
Number of pages8
ISBN (Electronic)978-1-5386-5470-5
ISBN (Print)78-1-5386-5471-2
DOIs
Publication statusPublished - 29 Oct 2018
EventThe 14th International Conference on Distributed Computing in Sensor Systems - Fordham University, New York City, United States
Duration: 18 Jun 201820 Jun 2018
http://www.dcoss.org/index.html

Publication series

Name
PublisherIEEE
ISSN (Print)2325-2936
ISSN (Electronic)2325-2944

Conference

ConferenceThe 14th International Conference on Distributed Computing in Sensor Systems
Abbreviated titleDCOSS 2018
Country/TerritoryUnited States
CityNew York City
Period18/06/1820/06/18
Internet address

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