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Urban sensing as a random search process

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  • O’Keeffe, Kevin
  • Santi, Paolo
  • Wang, Brandon
  • Ratti, Carlo

Abstract

We study a new random search process: the taxi drive. The motivation for this process comes from urban sensing in which sensors are mounted on moving vehicles such as taxis, allowing urban environments to be opportunistically monitored. Inspired by the movements of real taxis, the taxi drive is composed of both random and regular parts: passengers are brought to randomly chosen locations via deterministic (i.e. shortest paths) routes. We show through a numerical study that this hybrid motion endows the taxi drive with advantageous spreading properties. In particular, on certain graph topologies it offers reduced cover times compared to random walks and persistent random walks.

Suggested Citation

  • O’Keeffe, Kevin & Santi, Paolo & Wang, Brandon & Ratti, Carlo, 2021. "Urban sensing as a random search process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    • Handle: RePEc:eee:phsmap:v:562:y:2021:i:c:s0378437120306890
    DOI: 10.1016/j.physa.2020.125307
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    References listed on IDEAS

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    1. Manon Azaïs & Stéphane Blanco & Richard Bon & Richard Fournier & Marie-Hélène Pillot & Jacques Gautrais, 2018. "Traveling pulse emerges from coupled intermittent walks: A case study in sheep," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-24, December.
    2. S. Condamin & O. Bénichou & V. Tejedor & R. Voituriez & J. Klafter, 2007. "First-passage times in complex scale-invariant media," Nature, Nature, vol. 450(7166), pages 77-80, November.
    3. Viswanathan, G.M & Afanasyev, V & Buldyrev, Sergey V & Havlin, Shlomo & da Luz, M.G.E & Raposo, E.P & Stanley, H.Eugene, 2000. "Lévy flights in random searches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 282(1), pages 1-12.
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