Application of Bayesian techniques for the identification of accident-prone road sections
Fuente:
Redalyc
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Universidad Nacional de Colombia
2014
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1876477134209286144 |
|---|---|
| author | Thomas Edison Guerrero-Barbosa |
| author_facet | Thomas Edison Guerrero-Barbosa |
| contents | Application of Bayesian techniques for the identification of accident-prone road sections Thomas Edison Guerrero-Barbosa Gloria Estefany Amarís-Castro Ingeniería Keywords accident road safety prone sections hazard ranking The use of Bayesian techniques for the identification of accide nt-prone road sections has become very important in recent year s. The objective of this investigation consisted of identifying accide nt-prone road sections in the Municipality of Ocaña (Colombia) using the Bayesian Method (BM); the modeling approach developed involved the creation of a database of accidents that occurred between t he years 2007 (January) and 2013 (August) and the application of the met hodology on 15 sections of urban road. The final analyses show that the BM is an original and fast tool that is easily implemented, it provides results in which 4 accident-prone or dangerous road se ctions were identified and ranked them in order of danger, establishing a d anger ranking that provides a prioritization for investments an d the implementation of preventive and/or corrective policies that wi ll maximize benefits associated with road safety. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49632363027 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.187 Vol.81 |
| format | Artículo científico |
| id | redalyc_49632363027 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Application of Bayesian techniques for the identification of accident-prone road sections Thomas Edison Guerrero-Barbosa Ingeniería Keywords accident road safety prone sections hazard ranking Application of Bayesian techniques for the identification of accident-prone road sections Thomas Edison Guerrero-Barbosa Gloria Estefany Amarís-Castro Ingeniería Keywords accident road safety prone sections hazard ranking The use of Bayesian techniques for the identification of accide nt-prone road sections has become very important in recent year s. The objective of this investigation consisted of identifying accide nt-prone road sections in the Municipality of Ocaña (Colombia) using the Bayesian Method (BM); the modeling approach developed involved the creation of a database of accidents that occurred between t he years 2007 (January) and 2013 (August) and the application of the met hodology on 15 sections of urban road. The final analyses show that the BM is an original and fast tool that is easily implemented, it provides results in which 4 accident-prone or dangerous road se ctions were identified and ranked them in order of danger, establishing a d anger ranking that provides a prioritization for investments an d the implementation of preventive and/or corrective policies that wi ll maximize benefits associated with road safety. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49632363027 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.187 Vol.81 |
| title | Application of Bayesian techniques for the identification of accident-prone road sections |
| topic | Ingeniería Keywords accident road safety prone sections hazard ranking |
| url | https://www.redalyc.org/articulo.oa?id=49632363027 |