Literature DB >> 25890828

Detecting unforgiving roadside contributors through the severity analysis of ran-off-road crashes.

Carlos Roque1, Filipe Moura2, João Lourenço Cardoso3.   

Abstract

The objective of this paper is to study the contributors influencing ran-off-road (ROR) crash severities in a setting that has not been analysed in the literature, namely on freeways not designed according to the "forgiving roadside" concept. To accomplish the analysis, ROR crash data were collected on freeway road sections in Portugal and multinomial and mixed logit models were estimated using the driver injury and the most severely injured occupant as outcome variables. Our results are in line with previous findings reported in the literature on ROR crash severity in a number of distinct settings. Most importantly, this study shows the contribution of critical slopes and vehicle rollover towards fatal injuries and highlights the importance of introducing the "forgiving roadside" concept to mitigate ROR crash severity in Portuguese freeways. The study also indicates the importance of protecting errant vehicles particularly in horizontal curves, as these are linked with fatalities. Finally, the empirical findings from the developed models revealed problems in current Portuguese roadside design, especially with regards to criteria for forgiving slopes provision and warrants for safety barrier installation.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Crash severity models; Forgiving roadside; Mixed logit; Multinomial logit; Portuguese freeways; Ran-off-road crash

Mesh:

Year:  2015        PMID: 25890828     DOI: 10.1016/j.aap.2015.02.012

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

1.  Evaluating the Safety Risk of Rural Roadsides Using a Bayesian Network Method.

Authors:  Tianpei Tang; Senlai Zhu; Yuntao Guo; Xizhao Zhou; Yang Cao
Journal:  Int J Environ Res Public Health       Date:  2019-04-01       Impact factor: 3.390

2.  Severity assessment of accidents involving roadside trees based on occupant injury analysis.

Authors:  Guozhu Cheng; Rui Cheng; Yulong Pei; Liang Xu; Weiwei Qi
Journal:  PLoS One       Date:  2020-04-07       Impact factor: 3.240

3.  Assessing Roadside Hybrid Energy Absorbers Using the Example of SafeEnd.

Authors:  Marcin Budzynski; Kazimierz Jamroz; Lukasz Jelinski; Dawid Bruski; Lukasz Pachocki; Grzegorz Baginski
Journal:  Materials (Basel)       Date:  2022-02-24       Impact factor: 3.623

  3 in total

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