Application of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway.

Detecting high-collision-concentration locations based solely on collision frequency may produce different results compared to those considering the severities of the collisions. In particular, it can lead government agencies focusing sites with a high collision frequency while neglecting those with...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Eui-Jin Kim, Oh Hoon Kwon, Shin Hyoung Park, Dong-Kyu Kim, Koohong Chung
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/393b24a9822f4beda808bf9441c78dd1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:393b24a9822f4beda808bf9441c78dd1
record_format	dspace
spelling	oai:doaj.org-article:393b24a9822f4beda808bf9441c78dd12021-11-25T06:19:09ZApplication of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway.1932-620310.1371/journal.pone.0251866https://doaj.org/article/393b24a9822f4beda808bf9441c78dd12021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251866https://doaj.org/toc/1932-6203Detecting high-collision-concentration locations based solely on collision frequency may produce different results compared to those considering the severities of the collisions. In particular, it can lead government agencies focusing sites with a high collision frequency while neglecting those with a lower collision frequency but a higher percentage of injury and fatal collisions. This study developed systematic ways of detecting reproducible fatal collision locations (R) using the naïve Bayes approach and a continuous risk profile (CRP) that estimates the true collision risk by filtering out random noise in the data. The posterior probability of fatal collisions being reproducible at a location is estimated by the relationship between the spatial distribution of fatal-collision locations (i.e., likelihood) and the CRP (i.e., prior probability). The proposed method can be used to detect sites with the highest proxy measure of the posterior probability (PMP) of observing R. An empirical evaluation using 5-year traffic collision data from six routes in California shows that detecting R based on the PMP outperform those based on the SPF-based approaches or random selection, regardless of various conditions and parameters of the proposed method. This method only requires traffic collision and annual traffic volume data to estimate PMP that prioritize sites being R and the PMPs can be compared across multiple routes. Therefore, it helps government agencies prioritizing sites of multiple routes where the number of fatal collisions can be reduced, thus help them to save lives with limited resources of data collection.Eui-Jin KimOh Hoon KwonShin Hyoung ParkDong-Kyu KimKoohong ChungPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251866 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Eui-Jin Kim Oh Hoon Kwon Shin Hyoung Park Dong-Kyu Kim Koohong Chung Application of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway.
description	Detecting high-collision-concentration locations based solely on collision frequency may produce different results compared to those considering the severities of the collisions. In particular, it can lead government agencies focusing sites with a high collision frequency while neglecting those with a lower collision frequency but a higher percentage of injury and fatal collisions. This study developed systematic ways of detecting reproducible fatal collision locations (R) using the naïve Bayes approach and a continuous risk profile (CRP) that estimates the true collision risk by filtering out random noise in the data. The posterior probability of fatal collisions being reproducible at a location is estimated by the relationship between the spatial distribution of fatal-collision locations (i.e., likelihood) and the CRP (i.e., prior probability). The proposed method can be used to detect sites with the highest proxy measure of the posterior probability (PMP) of observing R. An empirical evaluation using 5-year traffic collision data from six routes in California shows that detecting R based on the PMP outperform those based on the SPF-based approaches or random selection, regardless of various conditions and parameters of the proposed method. This method only requires traffic collision and annual traffic volume data to estimate PMP that prioritize sites being R and the PMPs can be compared across multiple routes. Therefore, it helps government agencies prioritizing sites of multiple routes where the number of fatal collisions can be reduced, thus help them to save lives with limited resources of data collection.
format	article
author	Eui-Jin Kim Oh Hoon Kwon Shin Hyoung Park Dong-Kyu Kim Koohong Chung
author_facet	Eui-Jin Kim Oh Hoon Kwon Shin Hyoung Park Dong-Kyu Kim Koohong Chung
author_sort	Eui-Jin Kim
title	Application of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway.
title_short	Application of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway.
title_full	Application of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway.
title_fullStr	Application of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway.
title_full_unstemmed	Application of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway.
title_sort	application of naïve bayesian approach in detecting reproducible fatal collision locations on freeway.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/393b24a9822f4beda808bf9441c78dd1
work_keys_str_mv	AT euijinkim applicationofnaivebayesianapproachindetectingreproduciblefatalcollisionlocationsonfreeway AT ohhoonkwon applicationofnaivebayesianapproachindetectingreproduciblefatalcollisionlocationsonfreeway AT shinhyoungpark applicationofnaivebayesianapproachindetectingreproduciblefatalcollisionlocationsonfreeway AT dongkyukim applicationofnaivebayesianapproachindetectingreproduciblefatalcollisionlocationsonfreeway AT koohongchung applicationofnaivebayesianapproachindetectingreproduciblefatalcollisionlocationsonfreeway
_version_	1718413917570465792

Application of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway.

Ejemplares similares