Characterization of vehicle behavior with information theory
- Autores
- Aquino, Andre L. L.; Cavalcante, Tamer S. G.; Almeida, Eliana S.; Frery, Alejandro César; Rosso, Osvaldo Aníbal
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Aquino, Andre L. L.. Universidade Federal de Alagoas; Brasil
Fil: Cavalcante, Tamer S. G.. Universidade Federal de Alagoas; Brasil
Fil: Almeida, Eliana S.. Universidade Federal de Alagoas; Brasil
Fil: Frery, Alejandro César. Universidade Federal de Alagoas; Brasil
Fil: Rosso, Osvaldo Aníbal. Universidade Federal de Alagoas; Brasil. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
Vehicle Behavior
Velocity
Information Theory
Entropy-Complexty Plane - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/42054
Ver los metadatos del registro completo
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Characterization of vehicle behavior with information theoryAquino, Andre L. L.Cavalcante, Tamer S. G.Almeida, Eliana S.Frery, Alejandro CésarRosso, Osvaldo AníbalVehicle BehaviorVelocityInformation TheoryEntropy-Complexty Planehttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1This 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.Fil: Aquino, Andre L. L.. Universidade Federal de Alagoas; BrasilFil: Cavalcante, Tamer S. G.. Universidade Federal de Alagoas; BrasilFil: Almeida, Eliana S.. Universidade Federal de Alagoas; BrasilFil: Frery, Alejandro César. Universidade Federal de Alagoas; BrasilFil: Rosso, Osvaldo Aníbal. Universidade Federal de Alagoas; Brasil. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSpringer2015-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/42054Aquino, Andre L. L. ; Cavalcante, Tamer S. G.; Almeida, Eliana S.; Frery, Alejandro César; Rosso, Osvaldo Aníbal; Characterization of vehicle behavior with information theory; Springer; European Physical Journal B - Condensed Matter; 85; 10-2015; 1-121434-60281434-6036CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1140/epjb/e2015-60384-xinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140%2Fepjb%2Fe2015-60384-xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T10:38:59Zoai:ri.conicet.gov.ar:11336/42054instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-05 10:39:00.106CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Characterization of vehicle behavior with information theory |
| title |
Characterization of vehicle behavior with information theory |
| spellingShingle |
Characterization of vehicle behavior with information theory Aquino, Andre L. L. Vehicle Behavior Velocity Information Theory Entropy-Complexty Plane |
| title_short |
Characterization of vehicle behavior with information theory |
| title_full |
Characterization of vehicle behavior with information theory |
| title_fullStr |
Characterization of vehicle behavior with information theory |
| title_full_unstemmed |
Characterization of vehicle behavior with information theory |
| title_sort |
Characterization of vehicle behavior with information theory |
| dc.creator.none.fl_str_mv |
Aquino, Andre L. L. Cavalcante, Tamer S. G. Almeida, Eliana S. Frery, Alejandro César Rosso, Osvaldo Aníbal |
| author |
Aquino, Andre L. L. |
| author_facet |
Aquino, Andre L. L. Cavalcante, Tamer S. G. Almeida, Eliana S. Frery, Alejandro César Rosso, Osvaldo Aníbal |
| author_role |
author |
| author2 |
Cavalcante, Tamer S. G. Almeida, Eliana S. Frery, Alejandro César Rosso, Osvaldo Aníbal |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Vehicle Behavior Velocity Information Theory Entropy-Complexty Plane |
| topic |
Vehicle Behavior Velocity Information Theory Entropy-Complexty Plane |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
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. Fil: Aquino, Andre L. L.. Universidade Federal de Alagoas; Brasil Fil: Cavalcante, Tamer S. G.. Universidade Federal de Alagoas; Brasil Fil: Almeida, Eliana S.. Universidade Federal de Alagoas; Brasil Fil: Frery, Alejandro César. Universidade Federal de Alagoas; Brasil Fil: Rosso, Osvaldo Aníbal. Universidade Federal de Alagoas; Brasil. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
| description |
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. |
| publishDate |
2015 |
| dc.date.none.fl_str_mv |
2015-10 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/42054 Aquino, Andre L. L. ; Cavalcante, Tamer S. G.; Almeida, Eliana S.; Frery, Alejandro César; Rosso, Osvaldo Aníbal; Characterization of vehicle behavior with information theory; Springer; European Physical Journal B - Condensed Matter; 85; 10-2015; 1-12 1434-6028 1434-6036 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/42054 |
| identifier_str_mv |
Aquino, Andre L. L. ; Cavalcante, Tamer S. G.; Almeida, Eliana S.; Frery, Alejandro César; Rosso, Osvaldo Aníbal; Characterization of vehicle behavior with information theory; Springer; European Physical Journal B - Condensed Matter; 85; 10-2015; 1-12 1434-6028 1434-6036 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
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eng |
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