Development Of A Predictive Model Of Automobile Accidents In The City Of Bogotá, Colombia.
The importance of information analysis has allowed great advances in recent years, including predictive analysis, which, based on a series of data, look for patterns to forecast unknown data. For this article, one of the algorithms for predictions within Machine Learning is used, such as Random Fore...
| Publicado en: | Journal of Namibian Studies Vol. 33; pp. 2236 - 2251 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Society of Cultural Studies & Social Sciences
2023 Special Issue
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=172831237&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 172831237 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 18635954 G5EZ jtl: Journal of Namibian Studies issn: 18635954 maglogo: N pubinfo: dt: 2023 Special Issue vid: 33 pid: 92471 pub: Society of Cultural Studies & Social Sciences artinfo: ui: 172831237 ppf: 2236 ppct: 15 formats: tig: atl: Development Of A Predictive Model Of Automobile Accidents In The City Of Bogotá, Colombia. aug: au: H., Fredys A. Simanca Blanco Garrido, Fabian Barbosa Guerrero, Lugo Manuel Abuchar Porras, Alexandra Rozo, Jairo Jamith Palacios affil: Profesor Investigador, Universidad Cooperativa de Colombia, Bogotá - Colombia Docente de Planta, Colegio Mayor de Cundinamarca, Bogotá - Colombia Docente de Planta, Universidad Distrital Francisco José de Caldas, Bogotá - Colombia su: Traffic accidents Model cars (Toys) Prediction models Python programming language Random forest algorithms Bogotá (Colombia) sug: subj: Bogotá (Colombia) Traffic accidents Model cars (Toys) Prediction models Python programming language Random forest algorithms keyword: accident prediction Accidents Random Forest ab: The importance of information analysis has allowed great advances in recent years, including predictive analysis, which, based on a series of data, look for patterns to forecast unknown data. For this article, one of the algorithms for predictions within Machine Learning is used, such as Random Forest. And, the algorithm is made in the Python programming language, in order to obtain the possible causes of accidents in the city of Bogotá. This information is taken from the open data of accidents registered in the city in order to know how many accidents will exist each day and what will be the causes to be analyzed and thus, find a concrete solution to these problems of accident rate with the purpose of reducing them considerably. In conclusion, results were obtained from the development of the algorithm that allow to predict with a certain degree of accuracy the automobile accident rate in the city. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
|---|