Investigating Rural Single-Vehicle Crash Severity by Vehicle Types Using Full Bayesian Spatial Random Parameters Logit Model by Fulu Wei, Zhenggan Cai, Zhenyu Wang, Yongqing Guo, Xin Li, Xiaoyan Wu

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Analysis of factors that influence injury severity of single and multivehicle crashes involving at-fault older drivers: A random parameters logit with heterogeneity in means and va... by Richard Dzinyela, Emmanuel Kofi Adanu, Dominique Lord, Samantha Islam

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Hotspot analysis of single-vehicle lane departure crashes in North Dakota by Ihsan Ullah Khan, Kimberly Vachal, Sajad Ebrahimi, Satpal Singh Wadhwa

“…Spatial analysis techniques were explored as a beneficial tool in resource allocations aimed at single-vehicle crash prevention. Hotspot identification techniques, including Global Moran's I, local Moran's I, network kernel density estimation (NetKDE), and emerging hotspot analysis were employed. …”
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Analysis of Factors Associated with Highway Personal Car and Truck Run-Off-Road Crashes: Decision Tree and Mixed Logit Model with Heterogeneity in Means and Variances Approaches by Thanapong Champahom, Panuwat Wisutwattanasak, Chamroeun Se, Chinnakrit Banyong, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha

“…This study aims to empirically examine factors influencing the single-vehicle crash for personal cars and trucks using decision trees (DT) and mixed binary logit with heterogeneity in means and variances (RPBLHMV) and compare model accuracy. …”
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Injury Pattern among drivers involved in Single Frontal Crash based on the Police Reported Accident Data in Malaysia by M. N., Noordin, H., Osman, Hanida, Abdul Aziz, N., Rosli, M., Widia, E. H., Sukadarin, Nur Syafiqah, Fauzan, H. R., Zadry, Ahmad Azad, Ab. Rashid, Zulhaidi, Mohd Jawi

“…More than 8.2 million police reported motor vehicles crashed, resulting in 67,882 fatalities and over 140,000 injured victims from 2009 to 2018 recorded by Ministry of Transport, Malaysia. Single-vehicle crash can cause more fatalities than multi vehicle crashes as reported in previous study. …”
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Association between short-term air pollution exposure and traumatic intracranial hemorrhage: pilot evidence from Taiwan by Kuo-Hsing Liao, Kuo-Hsing Liao, Kuo-Hsing Liao, Kuo-Hsing Liao, Ta-Chien Chan, Ta-Chien Chan, Chia-Chieh Wu, Chia-Chieh Wu, Wen-Cheng Huang, Wen-Cheng Huang, Wen-Cheng Huang, Wen-Cheng Huang, Chin-Wang Hsu, Chin-Wang Hsu, Hsiao-Chi Chuang, Hsiao-Chi Chuang, Hsiao-Chi Chuang, Bayu Satria Wiratama, Wen-Ta Chiu, Wen-Ta Chiu, Carlos Lam, Carlos Lam

“…There was a negative borderline significant association between temperature and TIH risk (OR, 0.75; 95% CI, 0.56–1.00, p = 0.05). Notably, the single-vehicle crash was a significant risk factor (OR, 2.11; 95% CI, 1.30–3.42) for TIH.DiscussionHigh PM2.5 concentrations and low temperatures are risk factors for TIH in patients with TBI. …”
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Characteristics of Fatal Road Traffic Crashes Associated with Alcohol and Illicit Substances in Queensland (2011-2015) by James Freeman, Alexander Parkes, Kerry Armstrong, Jeremy Davey

“…Single vehicle crashes usually involved speeding, loss of control and failure to negotiate a curve while multi-vehicle crashes were disproportionately represented by reckless driving and misjudging traffic conditions. …”
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Driving for Work Crashes: A Systems Analysis by Ali Raja, Rebekah Thorne, Rebecca Luther, Clare Tedesdted George, Jackson Blewden, Emily Mackie, Eileen Li, Hamish Mackie, Simon Douglas

“…The Safe System analysis showed three distinct crash types: 1) multiple vehicle crashes often involving work vans, utes, and SUVs in side impact crashes; 2) vulnerable road users often involving professional drivers; and 3) single vehicle crashes involving people driving vans or light trucks for work losing control on rural roads with fatigue, non-seat belt use, and speed often implicated. …”
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Temporal instability and differences in injury severity between restrained and unrestrained drivers in speeding-related crashes by Chamroeun Se, Thanapong Champahom, Panuwat Wisutwattanasak, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha

“…The findings should be of value to policymakers, decision-makers, and highway engineers when developing potential countermeasures to improve driver safety and reduce the frequency of severe and fatal speeding-related single-vehicle crashes.…”
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A hybrid of regularization method and generalized path analysis: modeling single-vehicle run-off-road crashes in a cross-sectional study by Fatemeh Jahanjoo, Mohammad Asghari-Jafarabadi, Homayoun Sadeghi-Bazargani

“…Abstract Background Determining risk factors of single-vehicle run-off-road (SV-ROR) crashes, as a significant number of all the single-vehicle crashes and all the fatalities, may provide infrastructure for quicker and more effective safety measures to explore the influencing and moderating variables in SV-ROR. …”
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Analysing the Severity and Frequency of Traffic Crashes in Riyadh City Using Statistical Models by Saleh Altwaijri, Mohammed Quddus, Abigail Bristow

“…Age and nationality of the driver, excessive speed, wet road surface and dark lighting conditions and single vehicle crashes are associated with increased probability of fatal crashes. …”
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