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Traffic Condition Is More Than Colored Lines on a Map: Characterization of Waze Alerts

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Social Informatics (SocInfo 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8238))

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Abstract

Participatory sensor network (PSN) enables the understanding of city dynamics and the urban behavioral patterns of their inhabitants. In this work, we focus our analysis on a specific PSN, derived from Waze, for sensing traffic conditions. Our objective is to characterize the properties of this PSN, its broad and global spatial coverage as well as its limitations. We also bring discussions on different opportunities for application design using this network. We claim that the PSN derived from Waze has the potential to help us in the better understanding of traffic problem reasons. Besides that, it could be useful for improving algorithms used in navigation services: (1) by exploiting the provided real-time traffic information or (2) by helping in the identification of valuable pieces of information that are hard to detect with traditional sensors, such as car accidents and potholes.

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Author information

Authors and Affiliations

  1. Federal University of Minas Gerais, Belo Horizonte, Brazil

    Thiago H. Silva, Pedro O. S. Vaz de Melo, Jussara M. Almeida & Antonio A. F. Loureiro

  2. Microsoft Research, Redmond, USA

    Juliana Salles

  3. INRIA, France

    Thiago H. Silva & Aline Carneiro Viana

Authors
  1. Thiago H. Silva
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  2. Pedro O. S. Vaz de Melo
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  3. Aline Carneiro Viana
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  4. Jussara M. Almeida
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  5. Juliana Salles
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  6. Antonio A. F. Loureiro
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Editor information

Editors and Affiliations

  1. Department of Social Informatics, Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, 606-8501, Sakyo-ku, Kyoto, Japan

    Adam Jatowt

  2. School of Information Systems, Singapore Management University, 80 Stamford Road, 178902, Singapore

    Ee-Peng Lim  & Bing Tian Dai  & 

  3. Department of Information and Library Science, School of Informatics and Computing, Indiana University, 1320 E. 10th St., LI 011, 47405, Bloomington, IN, USA

    Ying Ding

  4. Department of Integrated Psychological Sciences, Kwansei Gakuin University, 1-1-155 Uegahara, 662-8501, Nishinomiya, Hyogo, Japan

    Asako Miura

  5. Faculty of Library, Information and Media Science, University of Tsukuba, 1-2 Kasuga, 305-8550, Tsukuba City, Ibaraki, Japan

    Taro Tezuka

  6. Department of Computer Science, University of Caen Basse-Normandie, Campus Côte de Nacre, F-14032, Caen Cedex, France

    Gaël Dias

  7. Department of Social Informatics, Graduate School of Informatics,, Kyoto University, 606-8501, Kyoto, Japan

    Katsumi Tanaka

  8. Department of Communication, University of California, 93106, Santa Barbara, CA, USA

    Andrew Flanagin

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© 2013 Springer International Publishing Switzerland

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Silva, T.H., de Melo, P.O.S.V., Viana, A.C., Almeida, J.M., Salles, J., Loureiro, A.A.F. (2013). Traffic Condition Is More Than Colored Lines on a Map: Characterization of Waze Alerts. In: Jatowt, A., et al. Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8238. Springer, Cham. https://doi.org/10.1007/978-3-319-03260-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-03260-3_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03259-7

  • Online ISBN: 978-3-319-03260-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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