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Predicción temporal del número de muertes por lesiones causadas por tránsito en Estados Unidos

Translated title of the contribution: Temporal prediction of the number of deaths from traffic accidents in the United States
  • Javier Rodríguez-Velásquez
  • , María Alejandra González-Bernal
  • , Adiela Ruiz-Gómez
  • , Esmeralda Guzmán De La Rosa
  • , Daniel Pallejá-Lopez
  • , Freddy Barrios-Arroyave
  • , Oscar Valero-Alvarado
  • , Ribká Soracipa-Muñoz
  • , Nathalia López-Sardoth
  • , Jorge Rodríguez-Hernandez

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Studies so far to the behaviour of traffic accidents have been descriptive; however, this behaviour to be studied as a dynamic system whose evolution is predictable over time has led to the design of new mathematical methodology which establishes orders to an apparent unpredictability, the objective of the present study is to predict by probabilistic random walk dynamics and probability of death rate from traffic accidents in the United States by 2013. The behaviour of the death rate from traffic accidents in the United States is analysed for the period between 1994-2012 from a physical and mathematical context, by setting lengths probabilistic and probabilistic analysis of four spaces, to determine relative a consecutive annual increase and decreases which is the rate of fatalities likely 2013 transit. 2013 United States reported that the death rate from traffic accidents was 10.35 per 100, 000 inhabitants, the predicted value was 10.6, achieving a success rate of 98% of the actual value. The dynamic behaviour of traffic fatalities in the United States, according to a mathematical acausal order in which it was possible to predict the rate of traffic fatalities by 2013.

Translated title of the contributionTemporal prediction of the number of deaths from traffic accidents in the United States
Original languageSpanish
Pages (from-to)1818-1823
Number of pages6
JournalBionatura
Volume6
Issue number2
DOIs
StatePublished - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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