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CRASH: 作品数：267被引量：327H指数：8; 导出分析报告; 相关作者：刘军王宏雁李玉龙赵晨吕能超更多>>; 相关机构：西北工业大学同济大学天津职业技术师范大学四川大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国防科技工业民用专项科研技术研究项目中国博士后科学基金国家级大学生创新创业训练计划更多>>

Evaluation of Crash Contributing Factors: 《Journal of Transportation Technologies》2025年第1期155-178,共24页Ye Dong Jonathan S. Wood; Understanding crash contributing factors is essential in safety management and improvement. These factors drive investment decisions, policies, regulations, and other safety-related initiatives. This paper analyzes fa...; 关键词：Contributing Factors Human Factors Vehicle Factors Environmental Factors Crash Data Vision Zero

Deciphering Car Crash Dynamics in Greater Melbourne:a Multi-Model Machine Learning and Geospatial Analysis: 《Journal of Geodesy and Geoinformation Science》2024年第4期36-55,共20页Christopher JOHNSON ZHOU Heng Richard TAY SUN Qian(Chayn); Linking Health,Place and Urban Planning through the Australian Urban Observatory by Ian Potter Foundation,Australia.; In the continually evolving landscape of data-driven methodologies addressing car crash patterns,a holistic analysis remains critical to decode the complex nuances of this phenomenon.This study bridges this knowledge ...; 关键词：car crash dynamics hexagonalization multi-model machine learning spatial planning intervention

Crash-causing information extraction via text-mining techniques:implementation of the Chinese state-related crash narratives: 《Transportation Safety and Environment》2024年第4期95-104,共10页Guoqing Zou Helai Huang Hanchu Zhou Jipu Li; Crash data is the foundation of traffic safety analysis,which can help experts find the cause of crashes and propose corresponding countermeasures.In China,the accident reporting form only allows reporting of one cras...; 关键词：text analysis state-related crash variable designation deep learning crash narratives

An investigation of ADAS testing scenarios based on vehicle-to-powered two-wheeler accidents occurring in a county-level district in China: 《Transportation Safety and Environment》2024年第4期177-187,共11页Honggang Wang Xinghua Wang Yong Peng Xin Lou Jaeyoung Lee; funded by the National Key R&D Program of China(Grant No.2022YFB4300300);the Hunan Science Foundation for Distinguished Young Scholars of China(Grant No.2021JJ110059);the National Natural Science Foundation of China(Grants No.52105523 and 52075553);the Natural Science Foundation of Shandong(Grant No.ZR2021QE249);the China Postdoctoral Science Foundation Funded Project(Grant No.2021M703559).; To meet the requirements for high-risk testing scenarios in the safety assessment of advanced driver assistance systems(ADASs),this study selected 239 vehicle-to-powered two-wheeler accidents occurring in Xiangtan Cou...; 关键词：advanced driver assistance system(ADAS) vehicle-to-powered two-wheeler accidents testing scenarios clustering analysis crash characteristics

Herding and investor sentiment after the cryptocurrency crash:evidence from Twitter and natural language processing: 《Financial Innovation》2024年第1期425-447,共23页Michael Cary; Although the 2022 cryptocurrency market crash prompted despair among investors,the rallying cry,“wagmi”(We’re all gonna make it.)emerged among cryptocurrency enthusiasts in the aftermath.Did cryptocurrency enthusia...; 关键词：Bitcoin Cryptocurrency HERDING Investor sentiment Natural language processing Sentiment analysis TWITTER

Impact of COVID-19 on Safety Performance for Motorcycles: Pre-and during-Pandemic Conditions: 《Journal of Transportation Technologies》2024年第3期390-401,共12页Hongyun Chen Amelia Lawson Charles Hurda Madalyn Smith Tate Grant; Florida has the highest number of motorcycle fatalities in the United States and contains the second largest population of registered motorcycles. The COVID-19 pandemic influenced the roads, traffic, and driving behav...; 关键词：Motorcycle Crash PANDEMIC Injury Severity Contributing Factors

Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey: 《International Journal of Transportation Science and Technology》2024年第2期156-170,共15页Ahmed Sajid Hasan Mohammad Jalayer Subasish Das MdAsif Bin Kabir; Motor vehicle crashes are the leading cause of the death of teenagers in the United States.Young drivers have shown a higher propensity to get involved in crashes due to using a cellphone while driving,breaking the sp...; 关键词：Random Forest Young Driver Involved Crash Sensitivity Analysis Shapley Values New Jersey

对象驱动的Linux内核crash分类技术研究: 《小型微型计算机系统》2024年第4期926-932,共7页何林浩魏强王允超郭志民; 国家重点研发计划项目(2017YFB0802901)资助.; Crash(程序崩溃)分析是漏洞挖掘与利用的关键阶段,精准的crash分类是crash分析和漏洞利用的前提.针对现有的Linux内核crash存在大量重复的问题,本文提出一种对象驱动的Linux内核crash分类方法.该方法将内核crash与内核对象的关系建模为...; 关键词：crash分类 LINUX内核内核对象污点分析

Application of Conditional Deep Generative Networks (CGAN) in empirical bayes estimation of road crash risk and identifying crash hotspots: 《International Journal of Transportation Science and Technology》2024年第1期258-269,共12页Mohammad Zarei Bruce Hellinga Pedram Izadpanah; The conditional generative adversarial network(CGAN)is used in this paper for empirical Bayes(EB)analysis of road crash hotspots.EB is a well-known method for estimating the expected crash frequency of sites(e.g.road ...; 关键词：Conditional Generative Adversarial Networks(CGAN) Hotspot identification Empirical Bayes method Safety performance function Negative binomial model Network screening Crash data simulation

结合系统工具及ChatGPT等大语言模型的操作系统教学探索被引量：2: 《计算机时代》2023年第12期201-204,共4页曾英佩; 杭电网安学院本科教学研究项目项目“《操作系统及安全》课程思政建设”;浙江省自然科学基金项目“基于协议特性的物联网协议模糊测试研究”(LY22F020022)。; 操作系统课程涉及内容较广,有技术深度和难度,教学上有一定的挑战,同时,在ChatGPT等大语言模型流行的当下,如何在教学时应对以及利用也值得讨论。文章探讨如何结合一些系统工具来帮助学生理解Linux操作系统,例如利用QEMU仿真工具来调试...; 关键词：操作系统系统工具 QEMU CRASH ChatGPT

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