Analysis of the effects of visibility and warning devices on driver injury severity at highway-rail grade crossings considering temporal transferability of data

Khales, Sina Darban; Chien, Steven; Lee, Joyoung; Dimitrijević, B

doi:10.1080/17457300.2020.1737139

Cited by 4 publications

(5 citation statements)

References 20 publications

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“…Furthermore, the likelihood ratio test results demonstrated that the random parameter models for both factors were statistically superior to the fixed-effect models with a confidence level exceeding 98%. In summary, incorporating random parameters can significantly improve statistical fit, consistent with the findings of previous studies (Ahmed et al, 2023;Khales et al, 2020;Khan and Khattak, 2018).…”

Section: Model Evaluation and Validationsupporting

confidence: 87%

“…A variety of methodological frameworks have been used in previous studies, including the ordered probit model (Hao and Daniel, 2013;Ghomi et al, 2016), ordered logit model (Tjahjono et al, 2019), geographically weighted regression (Wang et al, 2016), latent class clustering model (Zhao et al, 2019), latent segmentationbased ordered logit (Eluru et al, 2012), mixed binary logit model (Zhao and Khattak, 2018), mixed multinomial logit model (Khan and Khattak, 2018;Khales et al, 2020) unobserved heterogeneity in the means and variance model (Ahmed et al, 2023). The complexities inherent in investigating the severity of injuries in empirical studies make it impossible for researchers to consider every possible crash-related factor that could impact injury outcomes (Mannering et al, 2016).…”

Section: Methods In Highway-rail Grade Crossing Crash Injury Severity...mentioning

confidence: 99%

“…Their analysis revealed associations between fatal crashes and male drivers, rainy weather, and low traffic volume conditions. Using the mixed logit modeling framework, Khales et al (2020) analyzed 10 years of crash data, spanning from 2008 to 2017, involving HRGCs in the United States. The results revealed that the crash-contributing factors differed between crossings equipped with active and passive warning devices.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of factors influencing crash injury severities at highway–rail grade crossings accommodating for unobserved heterogeneity

Se,

Champahom,

Laphrom

et al. 2023

Front. Built Environ.

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Introduction: This research aims to identify and understand the risk factors associated with injury severities in accidents occurring at highway–rail grade crossings in the context of the developing country, Thailand.Method: The mixed logit model was employed by analyzing crash data over 10 years, from 2012 to 2022.Results: The analysis revealed a number of significant factors associated with severe or fatal crashes. These included accidents that occurred between midnight and 6 a.m., collisions involving pickup cars or heavy trucks, roads with a “no overtaking zone” sign, intersections classified as Type B1 (defined by the presence of only warning posts and horizontal crossing barriers), and intersections without adequate traffic control devices. In contrast, hazard markers on pavements and traverse rumble strips were positively correlated with property damage only crashes, where no injuries were reported.Discussion: This study provides insights into contributory factors to accidents at highway–rail grade crossing. Based on these key findings, the study recommends increasing nighttime visibility at railway grade crossings, developing targeted education and training programs for pickup car and truck drivers, installing hazard markers and traverse rumble strips, and considering physical barriers, such as bollards or delineators, to discourage overtaking maneuvers near the railway crossing.

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Section: Model Evaluation and Validationsupporting

confidence: 87%

Section: Methods In Highway-rail Grade Crossing Crash Injury Severity...mentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of factors influencing crash injury severities at highway–rail grade crossings accommodating for unobserved heterogeneity

Se,

Champahom,

Laphrom

et al. 2023

Front. Built Environ.

View full text Add to dashboard Cite

show abstract

“…focused on behaviors of truck drivers and the impacts that they could deliver to reducing car crashes on the highway, in Rwanda. Khales et al 16 . studied the effect of environmental factors and warning signs on the severity of injuries on the highway–rail crossings.…”

Section: Introductionmentioning

confidence: 99%

“…Vissoci et al 15 focused on behaviors of truck drivers and the impacts that they could deliver to reducing car crashes on the highway, in Rwanda. Khales et al 16 studied the effect of environmental factors and warning signs on the severity of injuries on the highway-rail crossings. Yahaya et al 17 employed machine learning for analyzing collision data and developing measures for reducing the severity of the crashes.…”

Section: Introductionmentioning

confidence: 99%

A hybrid method based on P and P′ control chart for identifying hotspots

Jahan

Abbaspour

Safakhah

2021

Quality & Reliability Eng

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The terms “hotspots,” “blackspot,” or “high‐risk” are normally used for an area on a road where the number of car accidents are far beyond the normal level and, more importantly, the causes of the incident always link to one or many specific reasons. Identifying these spots is helpful and may assist people in authority to implement corrective actions. To do the aforementioned, some decision‐support tools could be useful since they enable us to monitor the indicators that may lead to a car accident, same as the procedure engineers use to control production lines in factories. In this regard, control charts are utilized to identify blackspots. Although the method is low cost, and provides quick detection and statistical reliability level and, more importantly, uses online applications; however, it advised that the rate quality control method could be used on roads with the same geometry and traffic conditions. This research develops a hybrid method, based on accident type, for improving rate quality control method to overcome the shortcomings. Furthermore, the suggested framework considers crash severity and traffic volume that have not been taken into account in the rate quality control method yet. The case study evaluates how this framework is successful to identify blackspots, and based on the result in the real environment, it reveals that the proposed method could detect and identify the hotspots.

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Railway accident causation analysis: Current approaches, challenges and potential solutions

Hong¹,

Clifton²,

Nelson³

2023

Accident Analysis & Prevention

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Analysis of the effects of visibility and warning devices on driver injury severity at highway-rail grade crossings considering temporal transferability of data

Cited by 4 publications

References 20 publications

Analysis of factors influencing crash injury severities at highway–rail grade crossings accommodating for unobserved heterogeneity

Analysis of factors influencing crash injury severities at highway–rail grade crossings accommodating for unobserved heterogeneity

A hybrid method based on P and P′ control chart for identifying hotspots

Railway accident causation analysis: Current approaches, challenges and potential solutions

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