OBTAINING NEW THIN WALLED TUBULAR STRUCTURES THROUGH MATRIX MORPHOLOGICAL RESEARCH by VLAD ANDREI CIUBOTARIU, CRINA MARIA RADU, COSMIN GRIGORAȘ, EUGEN HERGHELEGIU

Subjects: “…tridimensional morphology, tubular structures, crash test, crashworthiness…”
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Local Spatial Analysis of the Crash Frequency of Food Delivery Motorcyclists vs. Nondelivery Motorcyclists in relation to Points of Interest by I Gede Brawiswa Putra, Pei-Fen Kuo, Dominique Lord

“…In addition, most crash and POIs studies have utilized typical restaurant datasets instead of specific restaurants partnered with OFDS, which might bias the impact of traffic safety estimation. …”
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Factors Affecting Crash Involvement of Commercial Vehicle Drivers: Evaluation of Commercial Vehicle Drivers’ Characteristics in South Korea by Jooyoung Lee, Jiho Yeo, Ilsoo Yun, Sanghyeok Kang

“…Previous studies on commercial vehicle crashes have generally been focused on a single type of commercial vehicle; however, the characteristics of drivers as factors affecting crashes vary widely across types of commercial vehicles as well as across study sites. …”
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Exploring Relationships between Months and Different Crash Types on Mountainous Freeways Using a Combined Modeling Approach by Changjian Zhang, Jie He, Chunguang Bai, Xintong Yan, Chenwei Wang, Yazhong Guo

“…Investigating the relationship between the months and traffic crashes is a foremost task for the safety improvement of mountainous freeways. …”
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Safety Assessment and a Parametric Study of Forward Collision-Avoidance Assist Based on Real-World Crash Simulations by MohammadReza Seyedi, MohammadReza Koloushani, Sungmoon Jung, Arda Vanli

“…In this study, we selected four real-world rear-end crash scenarios with different crash characteristics. …”
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Investigation of injury severity level in truck-related crashes at school zones using mixed generalized ordered models. by Junhan Cho, Sungjun Lee, Juneyoung Park

“…The proportion of truck deaths compared to the total number of traffic crashes was 23.9%, which is significantly higher than that of other vehicles. …”
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Quasi-static test data set of honeycomb hybrid tubes by FDM 3D printingMendeley Data by Fina Andika Frida Astuti, Moch. Agus Choiron, Anindito Purnowidodo, Yudy Surya Irawan

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A Comprehensive Analysis for the Heterogeneous Effects on Driver Injury Severity in Single-Vehicle Passenger Car and SUV Rollover Crashes by Huiying Wen, Zuogan Tang, Yuchen Zeng, Kexiong Zhang

“…In road traffic crashes, although rollover crashes account for a relatively low proportion, those result in a high fatality rate. …”
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Insights on Crash Injury Severity Control from Novice and Experienced Drivers: A Bivariate Random-Effects Probit Analysis by Daiquan Xiao, Quan Yuan, Shengyang Kang, Xuecai Xu

“…This study intended to investigate the crash injury severity from the insights of the novice and experienced drivers. …”
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A Roadway Safety Sustainable Approach: Modeling for Real-Time Traffic Crash with Limited Data and Its Reliability Verification by Zhenzhou Yuan, Kun He, Yang Yang

“…In order to study the influence of limited data on the real-time freeway traffic crash risk modeling, three data sets including high precision data, small sample data, and low precision data were considered. …”
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An Automated Profile-Likelihood-Based Algorithm for Fast Computation of the Maximum Likelihood Estimate in a Statistical Model for Crash Data by Issa Cherif Geraldo

“…In this paper, we consider the computing of the maximum likelihood estimate of the vector parameter of a statistical model of crash frequencies. We split the parameter vector, and we develop a new estimation algorithm using the profile likelihood principle. …”
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A Vision-Based Video Crash Detection Framework for Mixed Traffic Flow Environment Considering Low-Visibility Condition by Chen Wang, Yulu Dai, Wei Zhou, Yifei Geng

“…In this paper, a vision-based crash detection framework was proposed to quickly detect various crash types in mixed traffic flow environment, considering low-visibility conditions. …”
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Exploring Factors Influencing Crash Occurrence Involving Autonomous Vehicle: Random Parameters Model With Heterogeneity in Means and Variances Approach by Haocheng Li, Amjad Pervez, Jaeyoung Jay Lee

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Single-vehicle injury crashes on rural roads in Iceland: contribution of unforgiving roadsides to fatal and serious injuries of vehicle occupants by Audur Thora Arnadottir, Gudmundur F. Ulfarsson, Sungyop Kim

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Impact of driver licensing renewal policies on older driver crash involvement and injury rates in 13 states, 2000–2019 by Cara J. Hamann, Jonathan A. Davis, Gilsu Pae, Motao Zhu, Gregory H. Shill, Brian Tefft, Joseph E. Cavanaugh

“…Abstract Background Motor vehicle crashes are the second leading cause of injury death among adults aged 65 and older in the U.S., second only to falls. …”
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Modeling Injury Severity for Nighttime and Daytime Crashes by Using Random Parameter Logit Models Accounting for Heterogeneity in Means and Variances by Chenzhu Wang, Ping Zhang, Fei Chen, Jianchuan Cheng

“…This study examines the influences of risk factors on crash severity, based on comparisons of nighttime and daytime crashes. …”
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Quantification of Rear-End Crash Risk and Analysis of Its Influencing Factors Based on a New Surrogate Safety Measure by Qiangqiang Shangguan, Ting Fu, Junhua Wang, Rui Jiang, Shou’en Fang

“…Traditional surrogate measures of safety (SMoS) cannot fully consider the crash mechanism or fail to reflect the crash probability and crash severity at the same time. …”
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A New Video-Based Crash Detection Method: Balancing Speed and Accuracy Using a Feature Fusion Deep Learning Framework by Zhenbo Lu, Wei Zhou, Shixiang Zhang, Chen Wang

“…Quick and accurate crash detection is important for saving lives and improved traffic incident management. …”
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Exploring Risk Factors with Crash Severity on China Two-Lane Rural Roads Using a Random-Parameter Ordered Probit Model by Shikun Xie, Xiaofeng Ji, Wenchen Yang, Rui Fang, Jingjing Hao

“…As for crash forms, vehicle-vehicle crashes are more likely to lead to severe crash injury. …”
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Analysis of Injury Severity of Drivers Involved Different Types of Two-Vehicle Crashes Using Random-Parameters Logit Models with Heterogeneity in Means and Variances by Qiang Wu, Dongdong Song, Chenzhu Wang, Fei Chen, Jianchuan Cheng, Said M. Easa, Yitao Yang, Wenchen Yang

“…Three types of crashes are separately identified (car-car, car-truck, and truck-truck crashes). …”
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