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Characterization of vehicle behavior with information theory

Author

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  • Andre L.L. Aquino
  • Tamer S.G. Cavalcante
  • Eliana S. Almeida
  • Alejandro C. Frery
  • Osvaldo A. Rosso

Abstract

This work proposes the use of Information Theory for the characterization of vehicles behavior through their velocities. Three public data sets were used: (i) Mobile Century data set collected on Highway I-880, near Union City, California; (ii) Borlänge GPS data set collected in the Swedish city of Borlänge; and (iii) Beijing taxicabs data set collected in Beijing, China, where each vehicle speed is stored as a time series. The Bandt-Pompe methodology combined with the Complexity-Entropy plane were used to identify different regimes and behaviors. The global velocity is compatible with a correlated noise with f − k Power Spectrum with k ≥ 0. With this we identify traffic behaviors as, for instance, random velocities (k ≃ 0) when there is congestion, and more correlated velocities (k ≃ 3) in the presence of free traffic flow. Copyright EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Andre L.L. Aquino & Tamer S.G. Cavalcante & Eliana S. Almeida & Alejandro C. Frery & Osvaldo A. Rosso, 2015. "Characterization of vehicle behavior with information theory," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(10), pages 1-12, October.
    • Handle: RePEc:spr:eurphb:v:88:y:2015:i:10:p:1-12:10.1140/epjb/e2015-60384-x
    DOI: 10.1140/epjb/e2015-60384-x
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    Cited by:

    1. Borges, João B. & Ramos, Heitor S. & Mini, Raquel A.F. & Rosso, Osvaldo A. & Frery, Alejandro C. & Loureiro, Antonio A.F., 2019. "Learning and distinguishing time series dynamics via ordinal patterns transition graphs," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
    2. Eduarda T. C. Chagas & Marcelo Queiroz‐Oliveira & Osvaldo A. Rosso & Heitor S. Ramos & Cristopher G. S. Freitas & Alejandro C. Frery, 2022. "White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane," International Statistical Review, International Statistical Institute, vol. 90(2), pages 374-396, August.
    3. Araújo, Felipe & Bastos, Lucas & Medeiros, Iago & Rosso, Osvaldo A. & Aquino, Andre L.L. & Rosário, Denis & Cerqueira, Eduardo, 2023. "Characterization of human mobility based on Information Theory quantifiers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

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    Keywords

    Statistical and Nonlinear Physics;

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