Characterization of vehicle behavior with information theory

ANDRE L.L. AQUINO; TAMER S.G. CAVALCANTE; ELIANA S. ALMEIDA; ALEJANDRO C. FRERY; OSVALDO A. ROSSO

EUROPEAN PHYSICAL JOURNAL B - CONDENSED MATTER

SPRINGER

Lugar: Berlin; Año: 2015 vol. 85

1434-6028

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) Borl¨ange 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.