Monitoring Manhattan's traffic at 5 intersections?

Siheng Chen, Yaoqing Yang, Christos Faloutsos, Jelena Kovačević

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

Abstract

Is it possible to monitor the entire traffic in Manhattan at a few intersections? This paper proposes a series of sampling, recovery and representation techniques based on graph signal processing to handle complex, nonsmooth graph signals. We validate our proposed techniques on Manhattan's taxi pickups during the years of 2014 and 2015. We are able to approximately recover the taxi-pick activities in Manhattan by sampling at only 5 selected intersections. The same techniques can be applied to monitor other types of traffic data.

Original languageEnglish (US)
Title of host publication2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1270-1274
Number of pages5
ISBN (Electronic)9781509045457
DOIs
StatePublished - Apr 19 2017
Event2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Washington, United States
Duration: Dec 7 2016Dec 9 2016

Publication series

Name2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings

Other

Other2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
CountryUnited States
CityWashington
Period12/7/1612/9/16

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Chen, S., Yang, Y., Faloutsos, C., & Kovačević, J. (2017). Monitoring Manhattan's traffic at 5 intersections? In 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings (pp. 1270-1274). [7906045] (2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2016.7906045