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Characterization of vehicle behavior with information theory

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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.

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Authors and Affiliations

  1. LaCCAN/CPMAT, Instituto de Computação, Universidade Federal de Alagoas (UFAL), BR 104 Norte km 97, 57072-970, Maceió, Alagoas, Brazil

    Andre L.L. Aquino, Tamer S.G. Cavalcante, Eliana S. Almeida & Alejandro C. Frery

  2. Instituto de Física, Universidade Federal de Alagoas (UFAL), BR 104 Norte km 97, 57072-970, Maceió, Alagoas, Brazil

    Osvaldo A. Rosso

  3. Instituto Tecnológico de Buenos Aires (ITBA), C1106ACD, Av. Eduardo Madero 399, Ciudad Autónoma de Buenos Aires, Argentina

    Osvaldo A. Rosso

Authors
  1. Andre L.L. Aquino
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  2. Tamer S.G. Cavalcante
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  3. Eliana S. Almeida
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  4. Alejandro C. Frery
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  5. Osvaldo A. Rosso
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Correspondence to Andre L.L. Aquino.

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Aquino, A., Cavalcante, T., Almeida, E. et al. Characterization of vehicle behavior with information theory. Eur. Phys. J. B 88, 257 (2015). https://doi.org/10.1140/epjb/e2015-60384-x

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  • DOI: https://doi.org/10.1140/epjb/e2015-60384-x

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