Personal and Ubiquitous Computing

, Volume 19, Issue 3, pp 709–721

Urban traffic analysis through multi-modal sensing

  • Mikko Perttunen
  • Vassilis Kostakos
  • Jukka Riekki
  • Timo Ojala
Original Article

DOI: 10.1007/s00779-015-0833-4

Cite this article as:
Perttunen, M., Kostakos, V., Riekki, J. et al. Pers Ubiquit Comput (2015) 19: 709. doi:10.1007/s00779-015-0833-4

Abstract

This paper makes contributions toward adopting a systemic view of city-wide ubiquitous systems. Here, we present methods and techniques for combining multiple sensing modalities to measure and model traffic patterns in urban environments. We show how noise in one modality can be reduced by considering another more reliable modality and how two modalities can be combined. While much work in the literature deals with simulated data or small data sets, our work focuses on analyzing data from a permanent data collection infrastructure in a downtown area. We present results using a 3-week data set containing data of two modalities: inductive loop traffic detectors and Bluetooth scanners.

Keywords

Bluetooth Inductive loop Detection Origin–destination 

Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  • Mikko Perttunen
    • 1
  • Vassilis Kostakos
    • 1
  • Jukka Riekki
    • 1
  • Timo Ojala
    • 1
  1. 1.University of OuluOuluFinland

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