Onto-traffic: A Semantic Traffic Analysis Tool Based on Gps Data for Smart-cities

Juan Jaime Sánchez Escobar; Liliana Ibeth Barbosa Santillán; Luis Francisco Barbosa Santillán; Fatemeh G. Nasri Shandiz; Gabriel Alejandro Leon Paredes

Onto-traffic: A Semantic Traffic Analysis Tool Based on Gps Data for Smart-cities

Título traducido de la contribución: Onto-traffic: una herramienta de análisis de tráfico semántico basada en datos GPS para ciudades inteligentes

Juan Jaime Sánchez Escobar, Liliana Ibeth Barbosa Santillán, Luis Francisco Barbosa Santillán, Fatemeh G. Nasri Shandiz, Gabriel Alejandro Leon Paredes

Grupo de Investigación en Cloud Computing Smart Cities & High Performance Computing (GIHP4C)

Producción científica: Contribución a una conferencia › Documento

Resumen

Hoy en día por el creciente uso de vehículos, control y Monitorizar el tráfico es una promesa para las ciudades inteligentes. Recomendación Los sistemas son una de las soluciones que aportan las ciudades inteligentes para tales cuestiones. Este tipo de sistemas son tendencia en la Información Tecnologías y están adquiriendo aceptación entre los científicos. comunidades y empresas también. Estos sistemas alimentan a los usuarios con información valiosa sobre su entorno y ayudarles a tomar mejores decisiones relacionadas con los atascos. Este artículo presenta OntoTraffic, un sistema de recomendación basado en ontologías, que apoya al usuario a obtener información relacionada con el tráfico urbano en la ciudad de Pekín. La información se proporciona de acuerdo a la solicitudes del usuario. Este sistema de recomendación funciona con Global Trazas del sistema de posicionamiento (GPS) tomadas del conjunto de datos de Beijing, que tiene veintiún millones de rastros. Además, 5888 rastros. fueron recopilados a través de teléfonos inteligentes de ciudadanos tapatíos. En En el sistema OntoTraffic, los datos son recopilados mediante ciertos algoritmos que extraer los datos de bases de datos confiables. Información producida de dicho sistema, que depende de la otra recomendación, permite a los usuarios ser más productivos y eficientes en temas urbanos. Esta información también mejora la calidad de vida del usuario al gastar menos. tiempo y dinero en sus actividades diarias. OntoTraffic también proporciona recomendaciones para obtener: (1) tráfico promedio en una calle específica, (2) encuentre las horas pico para cada calle, (3) descubra las más concurridas calles en un tiempo determinado, (4) demostrar la distancia entre dos puntos en el mapa, y (5) muestran las bulliciosas calles entre 19:00 a 03:00 horas. Finalmente este artículo sugiere algunas actividades para trabajos futuros tales como: (a) construir nuevos modelos para apoyar las ciudades inteligentes, (b) apoyar los desarrollos recomendados del sistema para la toma de decisiones creadores, (c) valorar el análisis de datos y las ontologías para el futuro. Centro de Computación de Rendimiento (HPC).

Título traducido de la contribución	Onto-traffic: una herramienta de análisis de tráfico semántico basada en datos GPS para ciudades inteligentes
Idioma original	Inglés estadounidense
Estado	Publicada - 26 may. 2016
Evento	IMMM 2016 : The Sixth International Conference on Advances in Information Mining and Management (includes DATASETS 2016) - ES, Valencia, Espana Duración: 22 may. 2016 → 26 may. 2016 https://www.iaria.org/conferences2016/IMMM16.html

Conferencia

Conferencia	IMMM 2016 : The Sixth International Conference on Advances in Information Mining and Management (includes DATASETS 2016)
País/Territorio	Espana
Ciudad	Valencia
Período	22/05/16 → 26/05/16
Dirección de internet	https://www.iaria.org/conferences2016/IMMM16.html

Palabras clave

Gps data analysis.
Ontotraffic system
Recommendation systems
Smart applications
Smart cites
Urban traffic

Areas de Conocimiento del CACES

116A Computación

ODS de las Naciones Unidas

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Sánchez Escobar, J. J., Barbosa Santillán, L. I., Barbosa Santillán, L. F., Nasri Shandiz, F. G., & Leon Paredes, G. A. (2016). Onto-traffic: A Semantic Traffic Analysis Tool Based on Gps Data for Smart-cities. Papel presentado en IMMM 2016 : The Sixth International Conference on Advances in Information Mining and Management (includes DATASETS 2016), Valencia, Espana.

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abstract = "Nowadays by growing usage of vehicles, control and monitor the traffic is a promise for smart cities. Recommendation Systems are one of the solutions provided by smart cities forsuch issues. These kind of systems are trend in Information Technologies and they are acquiring acceptance among scientific communities and enterprises as well. Such systems feed users with valuable information about their environment and help them to take better decisions related to traffic jam. This paper presents OntoTraffic, a recommendation system based on ontologies, which supports the user to obtain information related to urban traffic inthe city of Beijing. The information is provided according to the user{\textquoteright}s requests. This recommendation system works with Global Positioning System (GPS) traces taken from the Beijing data set, which has twenty one millions traces. In addition, 5888 traceswere gathered through smartphones of Guadalajara citizens. In OntoTraffic system, data are collected by certain algorithms that extract the data from a reliable databases. Produced information from such system, which depends on the other recommendation,allows users being more productive and efficient in urban issues. This information also improves user{\textquoteright}s life quality by spending less time and money on their daily activities. OntoTraffic also provides recommendations to obtain: (1) average traffic on a specific street,(2) find rush hours for each street, (3) discover the most crowded streets in a certain time, (4) demonstrate the distance between two points on the map, and (5) show the bustle streets between 7:00 pm to 3:00 am. Finally this paper suggests some activities for future work such as: (a) build new models to support smart cities, (b) supporting recommended system developments for decision makers, (c) valuing data analysis and ontologies for future HighPerformance Computing (HPC) center.",

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Sánchez Escobar, JJ, Barbosa Santillán, LI, Barbosa Santillán, LF, Nasri Shandiz, FG & Leon Paredes, GA 2016, 'Onto-traffic: A Semantic Traffic Analysis Tool Based on Gps Data for Smart-cities', Papel presentado en IMMM 2016 : The Sixth International Conference on Advances in Information Mining and Management (includes DATASETS 2016), Valencia, Espana, 22/05/16 - 26/05/16.

Onto-traffic: A Semantic Traffic Analysis Tool Based on Gps Data for Smart-cities. / Sánchez Escobar, Juan Jaime; Barbosa Santillán, Liliana Ibeth; Barbosa Santillán, Luis Francisco et al.
2016. Papel presentado en IMMM 2016 : The Sixth International Conference on Advances in Information Mining and Management (includes DATASETS 2016), Valencia, Espana.

Producción científica: Contribución a una conferencia › Documento

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