Name
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) Borlange GPS data set collected in the Swedish city of Borlange; 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 |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1140/epjb/e2015-60384-x | European Physical Journal B |
Keywords | DocType | Volume |
Statistical and Nonlinear Physics | Journal | abs/1510.04210 |
Issue | ISSN | Citations |
10 | 1434-6036 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| André Luiz Lins Aquino | 1 | 6 | 1.55 |
| Tamer Cavalcante | 2 | 5 | 1.55 |
| Eliana S. Almeida | 3 | 1 | 0.69 |
| Alejandro C. Frery | 4 | 368 | 38.29 |
| Osvaldo A. Rosso | 5 | 58 | 13.07 |