A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT tools
- Autores
- Marianetti, Osvaldo; Godoy, Pablo D.; Chediak, Ernesto; Fontana, Daniel; García Gariono, Carlos
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- This paper discusses the use of Radar Sensor Network at Great Mendoza area in order to register and to store vehicular traffic information. Both the network features and the software used in order to analyze and post process the captured information are provided. The main issues of vehicular traffic flow at Great Mendoza area are described from a qualitative point of view. Preliminary results registered with a Radar Sensor Networks placed at Godoy Guaymallén department are discussed as well. Based on the obtained results it can be expected that this kind of tools be very useful in order to alleviate vehicular traffic bottlenecks and related problems.
Facultad de Informática - Materia
-
Ciencias Informáticas
Vehicular Traffic
Radar Sensor Network
IoT
Great Mendoza Area - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/155425
Ver los metadatos del registro completo
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A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT toolsMarianetti, OsvaldoGodoy, Pablo D.Chediak, ErnestoFontana, DanielGarcía Gariono, CarlosCiencias InformáticasVehicular TrafficRadar Sensor NetworkIoTGreat Mendoza AreaThis paper discusses the use of Radar Sensor Network at Great Mendoza area in order to register and to store vehicular traffic information. Both the network features and the software used in order to analyze and post process the captured information are provided. The main issues of vehicular traffic flow at Great Mendoza area are described from a qualitative point of view. Preliminary results registered with a Radar Sensor Networks placed at Godoy Guaymallén department are discussed as well. Based on the obtained results it can be expected that this kind of tools be very useful in order to alleviate vehicular traffic bottlenecks and related problems.Facultad de Informática2023-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf24-29http://sedici.unlp.edu.ar/handle/10915/155425enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2271-7info:eu-repo/semantics/reference/hdl/10915/155281info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-02-26T11:27:31Zoai:sedici.unlp.edu.ar:10915/155425Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-02-26 11:27:32.048SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT tools |
| title |
A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT tools |
| spellingShingle |
A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT tools Marianetti, Osvaldo Ciencias Informáticas Vehicular Traffic Radar Sensor Network IoT Great Mendoza Area |
| title_short |
A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT tools |
| title_full |
A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT tools |
| title_fullStr |
A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT tools |
| title_full_unstemmed |
A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT tools |
| title_sort |
A preliminary study of vehicular traffic distribution in Great Mendoza area: use of IoT tools |
| dc.creator.none.fl_str_mv |
Marianetti, Osvaldo Godoy, Pablo D. Chediak, Ernesto Fontana, Daniel García Gariono, Carlos |
| author |
Marianetti, Osvaldo |
| author_facet |
Marianetti, Osvaldo Godoy, Pablo D. Chediak, Ernesto Fontana, Daniel García Gariono, Carlos |
| author_role |
author |
| author2 |
Godoy, Pablo D. Chediak, Ernesto Fontana, Daniel García Gariono, Carlos |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Vehicular Traffic Radar Sensor Network IoT Great Mendoza Area |
| topic |
Ciencias Informáticas Vehicular Traffic Radar Sensor Network IoT Great Mendoza Area |
| dc.description.none.fl_txt_mv |
This paper discusses the use of Radar Sensor Network at Great Mendoza area in order to register and to store vehicular traffic information. Both the network features and the software used in order to analyze and post process the captured information are provided. The main issues of vehicular traffic flow at Great Mendoza area are described from a qualitative point of view. Preliminary results registered with a Radar Sensor Networks placed at Godoy Guaymallén department are discussed as well. Based on the obtained results it can be expected that this kind of tools be very useful in order to alleviate vehicular traffic bottlenecks and related problems. Facultad de Informática |
| description |
This paper discusses the use of Radar Sensor Network at Great Mendoza area in order to register and to store vehicular traffic information. Both the network features and the software used in order to analyze and post process the captured information are provided. The main issues of vehicular traffic flow at Great Mendoza area are described from a qualitative point of view. Preliminary results registered with a Radar Sensor Networks placed at Godoy Guaymallén department are discussed as well. Based on the obtained results it can be expected that this kind of tools be very useful in order to alleviate vehicular traffic bottlenecks and related problems. |
| publishDate |
2023 |
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2023-06 |
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