Estrategias para la adquisición de información asociada a tráfico vehicular y su aplicación en mapas de ruido

This project addresses the acquisition of non-authoritative collaborative traffic flow data to predict the noise generated by urban roads, in order to do noise maps. For this, traffic information is acquired using collaborative platforms such as Google Maps, which gives the information of travel time and speed in a length path. To determine the traffic flow, it has been done a correlation of the amount of vehicles that travel with a specific speed in a certain type of road. For this, it was necessary to characterize the roads in the city of Medellń and to study its typical behavior with help of data taken in field by studentes of the Universidad de San Buenaventura and information given by the Secretaría de Movilidad of Medellín, and data taken from Google Maps. One of the methodologies proposed was to find the correlation by filling an area with the amount of vehicles that typically travels a specific road then according to the speed determinate the amount that circulate in certain time, taking into account the space between vehicles called Gap. Besides, it was studied the sensibility of the obtained data in terms of the noise emission doing some simulations with it. The proposed methodology has been tested in two areas of the city. The results indicate that it is possible to use Google Maps information to predict urban noise although further analysis are required to improve the estimation of traffic flow based on the type of road, speed and time travel

• Autores: Duque Gutiérrez, Carolina
• Fecha de publicación: 2019
• Institución: Universidad de San Buenaventura
• Repositorio: Repositorio USB
• Idioma: spa
• OAI Identifier: oai:bibliotecadigital.usb.edu.co:10819/7085
• Acceso en línea: http://hdl.handle.net/10819/7085
• Palabra clave: Artículo científico; Artículo de revisión; Investigación; Estilos de citación; Mapas de ruido; Sistemas colaborativos; Función de correlación; Tráfico vehicular; Aforo vehicular; Review article; Scientific article; Research; Citation styles; Noise map; Collaborative platforms; Correlation function; Traffic flow; Urban roads; Fuentes de sonido; Ingeniería de sonido; Ruido ambiental; Ruido; Contaminación por ruido; Vehículos; Acústica; Simulación acústica
• License: Atribución-NoComercial-SinDerivadas 2.5 Colombia