Citizen security using machine learning algorithms through open data

Gusseppe Bravo Rocca, Manuel Castillo-Cara, Raul Arias Levano, Javier Villegas Herrera, Luis Orozco-Barbosa

Resultado de la investigación: Capítulo del libro/informe/acta de congresoArticulo (Contribución a conferencia)revisión exhaustiva

5 Citas (Scopus)

Resumen

The following work is an application proposal based on machine learning algorithms for a possible solution for the public safety problem in a South American city. The aim of this application is to reduce the threat risk of the physical integrity of pedestrians by geolocating, in real-Time, safer places to walk. In this context for a city, San Isidro, a business district of Lima, has been established as study case. The district has been divided into map sectors and subsectors, so that by using the GPS location service integrated in mobile devices, it is possible to identify areas that have the highest incidence of different types of incidents. This functionality will allow users to choose safer routes by taking into account the information provided for each sector. The data used in this application has been obtained from an Open Data platform managed by the San Isidro municipality. In this application, we have processed the data enabling the easy and friendly access to the information by the end user. The importance of this work is how we have used the machine learning algorithm for incident rates in real and future time, trying to make predictions that can not only provide safe routes to users, but also predict disasters and allow public authorities to act in advance, thus minimizing the impact of future incidents.

Idioma originalInglés
Título de la publicación alojada2016 8th IEEE Latin-American Conference on Communications, LATINCOM 2016
EditoresCarlos E. Velasquez-Villada
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781509051373
DOI
EstadoPublicada - 2016
Publicado de forma externa
Evento8th IEEE Latin-American Conference on Communications, LATINCOM 2016 - Medellin, Colombia
Duración: 15 nov. 201617 nov. 2016

Serie de la publicación

Nombre2016 8th IEEE Latin-American Conference on Communications, LATINCOM 2016

Conferencia

Conferencia8th IEEE Latin-American Conference on Communications, LATINCOM 2016
País/TerritorioColombia
CiudadMedellin
Período15/11/1617/11/16

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