Relationship Between Horizontal Curves Design and Accident Rate

Radimsky, Michal; Matuszkova, Radka; Budik, Ondrej

doi:10.11113/jt.v78.8493

Cited by 4 publications

(5 citation statements)

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“…Laflamme, E.M., Villamagna, A., Kim, H.J., Archives of Transport, 69 (1), [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57]2024 measures, so-called "targeted preventative measures…to have the maximum impact on driver alertness" (Neumann et al, 2012). There are a variety of preventative measures that exist today (some relatively low cost, others more costly), such as wildlife warning signs, speed limit reductions, wildlife warning reflectors (which create an optical fence for wildlife), and wildlife corridors, to name a few.…”

Section: Discussionmentioning

confidence: 99%

“…Deer and moose were chosen as they are believed to be the animals most closely associated with severe accidents in the state. Next, to complement the wildlife Laflamme, E.M., Villamagna, A., Kim, H.J., Archives of Transport, 69 (1), [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57]2024 population densities, we calculated road density using the Kernel Density approach in ArcMap 10.8.1 and then extracting these values for WVC locations. Lastly, human population density was calculated using Block Group population data from the 2015-19 American Community Survey (Census Bureau) and dividing this value by the land area of the Block Group geographic area.…”

Section: Wildlife Human and Road Densitymentioning

confidence: 99%

“…Laflamme, E.M., Villamagna, A., Kim, H.J., Archives of Transport, 69 (1), [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57]2024 isolated paths of travel, so generally, WVCs occurring on highways can be 'managed' to avoid severe injury.…”

Section: Interstate Highwaysmentioning

confidence: 99%

“…Laflamme, E.M., Villamagna, A., Kim, H.J., Archives of Transport, 69 (1), [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57]2024 responding to about 9,000, indicating a positive effect on the odds of severity for these densities. Beyond this point, for values larger than 9,000, the curve is negative and continues to decrease as the density increases.…”

Section: Human Population Densitymentioning

confidence: 99%

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Predicting severe wildlife vehicle crashes (WVCs) on New Hampshire roads using a hybrid generalized additive model

Laflamme,

Villamagna,

Kim

2024

AoT

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Across the United States, wildlife vehicle crashes (WVCs) are increasing and remain consistently deadly to drivers, despite a downward trend in fatal automobile accidents overall. That said, the factors related to severe WVCs are unclear. With this in mind, we pursued a statistical model to reveal factors associated with WVCs that result in severe injury or death to drivers. We hypothesize that there are statistically significant interactions and non-linear relationships between these factors and severity occurrence. We developed a generalized additive model (GAM) with linear terms, additive terms, and a binary response for severity. We surmise that our fitted model results will quantify the relationship between significant variables and severity occurrence, and ultimately help to develop countermeasures to mitigate serious injury. The model was fitted to WVC records occurring between 2002 and 2019 in the state of New Hampshire. Fitted linear terms revealed: 1) in inclement weather, there is about a 22% increase in the odds of severity for slick surface conditions compared to dry surface conditions; 2) for the warmer months (spring/summer), there is a 42% decrease in the odds of severity for straight roads compared to those with curvature/incline; 3) for highways, the odds of severity decreases by 48% for accidents occurring on NH’s two major intestates highways, and 4) for spring/summer (as compared to the fall/winter), there is more than a 3-fold increase in the odds of severity for two-way traffic. Fitted additive terms revealed: 1) the odds of severity increased in the early hours, between midnight and 6AM, and after 5PM; 2) speeds between 45 and 60 mph are associated with an increase in the odds of a severe accident, while both lower and higher speeds (those below 45 and above 60 mph) are associated with a decrease in the odds of a severe accident; and 3) low, mid-range, and high human population densities are associated with decreases, increases, and decreases in odds of severity, respectively. Cross validation and resulting ROC curves gave evidence that our model is well specified and an effective predictor. Results could be used to inform drivers of potentially dangerous roadways/conditions/times.

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Section: Discussionmentioning

confidence: 99%

Section: Wildlife Human and Road Densitymentioning

confidence: 99%

Section: Interstate Highwaysmentioning

confidence: 99%

Section: Human Population Densitymentioning

confidence: 99%

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Predicting severe wildlife vehicle crashes (WVCs) on New Hampshire roads using a hybrid generalized additive model

Laflamme,

Villamagna,

Kim

2024

AoT

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“…Embora a maior parte dos acidentes em rodovias aconteça em trechos retos, são em curvas que ocorrem acidentes com maior severidade (Radimsky et al, 2016). Diversos estudos demonstram a necessidade de atualizar as atuais diretrizes para o projeto de curvas horizontais, principalmente no que se refere a trechos com elevadas declividades.…”

Section: Introductionunclassified

Influência dos parâmetros geométricos de rodovias na frequência e severidade de acidentes viários em curvas: o caso da BR 116

Andriola¹,

Torres²,

García³

2019

TRANSPORTES

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Dada a necessidade de prover rodovias mais seguras aos usuários, este trabalho buscou identificar os impactos dos parâmetros geométricos na frequência e na severidade dos acidentes em curvas de rodovias de pista simples. Esta análise foi conduzida para 225 quilômetros de trechos rodoviários de pista simples da BR 116 no estado do Rio Grande do Sul. A reconstituição geométrica rodoviária viabilizou a construção de uma base de dados que reúne as características dos acidentes registrados entre 2007 e 2016 pela Polícia Rodoviária Federal (PRF) e os parâmetros geométricos, permitindo a modelagem da frequência e da severidade dos acidentes a partir desses parâmetros. Foram estimados os modelos econométricos: (i) binomial negativo (BN) para a modelagem da frequência; e (ii) logit ordenado (LO) para a severidade de acidentes. Os resultados indicam que o aumento da declividade e da superelevação impactam no aumento da frequência de acidentes e na redução da severidade.

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