Scipediacontent: Scipediacontent moved page Draft Content 528158322 to Vilaca et al 2019a

2021-02-15T11:03:53Z

Scipediacontent moved page Draft Content 528158322 to Vilaca et al 2019a

Scipediacontent: Created page with " == Abstract == Vulnerable road users (VRUs) represent a large portion of fatalities and injuries occurring on European Union roads. It is therefore important to address the..."

2021-02-15T11:03:50Z

Created page with " == Abstract == Vulnerable road users (VRUs) represent a large portion of fatalities and injuries occurring on European Union roads. It is therefore important to address the..."

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== Abstract ==

Vulnerable road users (VRUs) represent a large portion of fatalities and injuries occurring on European Union roads. It is therefore important to address the safety of VRUs, particularly in urban areas, by identifying which factors may affect the injury severity level that can be used to develop countermeasures. This paper aims to identify the risk factors that affect the severity of a VRU injured when involved in a motor vehicle crash. For that purpose, a comparative evaluation of two machine learning classifiers&mdash

decision tree and logistic regression&mdash

considering three different resampling techniques (under-, over- and synthetic oversampling) is presented, comparing both imbalanced and balanced datasets. Crash data records were analyzed involving VRUs from three different cities in Portugal and six years (2012&ndash

2017). The main conclusion that can be drawn from this study is that oversampling techniques improve the ability of the classifiers to identify risk factors. On the one hand, this analysis revealed that road markings, road conditions and luminosity affect the injury severity of a pedestrian. On the other hand, age group and temporal variables (month, weekday and time period) showed to be relevant to predict the severity of a cyclist injury when involved in a crash.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_528158322-beopen910-2091-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.3390/safety5020029 http://dx.doi.org/10.3390/safety5020029] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.3390/safety5020029 http://dx.doi.org/10.3390/safety5020029] under the license http://creativecommons.org/licenses/by/3.0/

* [http://hdl.handle.net/10773/26253 http://hdl.handle.net/10773/26253] under the license https://creativecommons.org/licenses/by/4.0

* [https://www.mdpi.com/2313-576X/5/2/29/pdf https://www.mdpi.com/2313-576X/5/2/29/pdf]

* [https://www.mdpi.com/2313-576X/5/2/29 https://www.mdpi.com/2313-576X/5/2/29],
: [https://doaj.org/toc/2313-576X https://doaj.org/toc/2313-576X] under the license cc-by

* [https://www.mdpi.com/2313-576X/5/2/29/htm https://www.mdpi.com/2313-576X/5/2/29/htm],
: [https://www.mdpi.com/2313-576X/5/2/29/pdf https://www.mdpi.com/2313-576X/5/2/29/pdf],
: [https://trid.trb.org/view/1640014 https://trid.trb.org/view/1640014],
: [https://academic.microsoft.com/#/detail/2943866241 https://academic.microsoft.com/#/detail/2943866241]

* [https://www.mdpi.com/2313-576X/5/2/29/pdf https://www.mdpi.com/2313-576X/5/2/29/pdf],
: [http://dx.doi.org/10.3390/safety5020029 http://dx.doi.org/10.3390/safety5020029]

under the license https://creativecommons.org/licenses/by/4.0/

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Vilaca et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 528158322 to Vilaca et al 2019a

Scipediacontent: Created page with " == Abstract == Vulnerable road users (VRUs) represent a large portion of fatalities and injuries occurring on European Union roads. It is therefore important to address the..."