Citizen security using machine learning algorithms through open data

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

Research output: Chapter in Book/Report/Conference proceedingPaper (Conference contribution)peer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2016 8th IEEE Latin-American Conference on Communications, LATINCOM 2016
EditorsCarlos E. Velasquez-Villada
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509051373
DOIs
StatePublished - 2016
Externally publishedYes
Event8th IEEE Latin-American Conference on Communications, LATINCOM 2016 - Medellin, Colombia
Duration: 15 Nov 201617 Nov 2016

Publication series

Name2016 8th IEEE Latin-American Conference on Communications, LATINCOM 2016

Conference

Conference8th IEEE Latin-American Conference on Communications, LATINCOM 2016
CountryColombia
CityMedellin
Period15/11/1617/11/16

Keywords

  • Android
  • citizen security
  • Data analytics
  • Data mining
  • Machine learning
  • Open Data
  • safe routes
  • Smart City

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