How did the COVID-19 pandemic affect driver speed selection and crash risk on rural freeways?

Gupta, Nischal; Bamney, Anshu; Rostami, Alireza; Kamjoo, Ehsan; Savolainen, Peter T.

doi:10.1016/j.trf.2023.07.008

Cited by 4 publications

(1 citation statement)

References 42 publications

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“…Notably, data from the years 2019 to 2021 were not included in the analysis due to the disruptive impact of the COVID-19 outbreak. This unprecedented situation led to abnormal behavior patterns and altered traffic volume, especially with regard to the amount of cargo being transported, thereby directly affecting the number of trucks involved in crashes [38].…”

Section: Data Collectionmentioning

confidence: 99%

Analysis of the Effects of Highway Geometric Design Features on the Frequency of Truck-Involved Rear-End Crashes Using the Random Effect Zero-Inflated Negative Binomial Regression Model

Champahom,

Se,

Jomnonkwao

et al. 2023

Safety

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Statistical data indicate that trucks are more prone to rear-end crashes, making this an area of concern. The objective of this study is to create a model that analyzes the factors influencing the frequency of rear-end crashes involving trucks (TIRC). To achieve this, researchers identified the most appropriate model as Spatial Zero-Inflated Negative Binomial Regression (SZINB). This model takes into account spatial correlation, which plays a significant role in the occurrences of TIRC on different road segments supervised by each highway ward. The estimation of parameters in the SZINB model has led to key findings that shed light on the factors contributing to a higher likelihood of TIRC. These findings include the increased probability of TIRC on curved roads compared to straight ones, roads that feature open middle islands, six lanes per direction, a slope, right-of-way shoulder width, pavement type, lane width, and a post speed limit. Based on these key findings, this study developed policy recommendations and sample measures aimed at reducing the frequency of TIRC. Implementing measures such as improving the road design on curved sections, optimizing middle islands, and enhancing traffic management on wider roads can help mitigate the risk of crashes involving trucks.

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Section: Data Collectionmentioning

confidence: 99%