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                 社会职务 \n                                    \n                                     陕西省青年科技工作者协会理事全国汽车行业生产力促进中心智能网联汽车专家中国指挥与控制学会无人系统专业委员会委员工信部新能源与智能网联汽车专家","陕西",false,"http:\u002F\u002Fjs.chd.edu.cn\u002Fqcxy\u002Fhy\u002Flist.htm",true,[],[],{"id":402,"name":403,"orgName":388,"school":389,"gender":390,"title":404,"degree":405,"honor":10,"position":10,"researchDirection":406,"intro":407,"province":395,"completeness":295,"avatarAuthorized":396,"sourceUrl":408,"nameValid":398,"tags":409,"tagNames":410},"4f0a2b3f-d0a0-78f6-b91f-f5231edc36fd","黄榕","讲师","博士","主要研究方向与成果：（1）交通场景人员疏散行为机理研究系统与量化阐释了客车结构、照明条件、年龄等七个典型因素对乘客疏散效率的影响规律与约束机制，构建了涵盖10 余个场景、100 余人的客车乘客疏散行为数据集，阐明了特定因素作用下客车场景乘客疏散行为的共性特征规律，揭示了不同疏散动机下乘客微观、介观运动行为和宏观疏散效率差异，解析了“疏散动机-行为特性-疏散效率”机理链，为乘客疏散建模、安全管控提供理论和数据支撑。（相关论文：Experimental study on evacuation behaviour of passengers in a high-deck coach: A Chinese case study[J]. Physica A: Statistical Mechanics and its Applications;Open Experimental Data-Sets to Reveal Behavioural Insights of High-Deck Coach Evacuations[J]. Fire Technology, 2022: 1-44. ）；（2）交通场景人员疏散建模研究提出了一种兼具精度与效率的新型静态场近似构建算法，以此为基础，构建了一种基于期望方向的新型精细场域元胞自动机疏散运动模型，对比验证表明，该模型在个体和群体疏散运动模拟精度方面均显著优于现有模模型；将人员决策偏好融入疏散出口选择和瞬时运动行为建模中，引入各种决策要素并提出相应算法，构建了一个由静态场、出口选择、出口选择修正和瞬时运动模块组成的新型通用双层场域元胞自动机疏散行为模型，对比验证表明，该模型的出口选择和瞬时运动行为刻画精度都显著优于传统模型，为交通场景人员疏散性能预测、评价提供可靠模型支撑。（相关论文：Modelling pedestrian tactical and operational decisions under risk and uncertainty: A two-layer model framework[J]. IEEE Transactions on Intelligent Transportation Systems；Static floor field construction and fine discrete cellular automaton model: Algorithms, simulations and insights[J]. Physica A: Statistical Mechanics and its Applications）；（3）新能源客车乘客火灾疏散建模-评价-优化研究提出了客车乘客出口选择和瞬时运动行为建模方法，建立了狭窄客舱内乘客旋转、超越、转向等动态调整身体姿势和更新运动位置的精细行为规则，引入距离、拥挤度等影响因素量化表征方法，构建了客车乘客疏散行为模型，提出了最佳的乘客疏散响应策略、过道宽度与应急门位置设计方案，系统阐释了疏散响应策略和设计方案对客车疏散性能的影响规律和作用机理，为客车高效疏散管控和安全设计提供新思路。（相关论文：A High-deck Coach Evacuation Model Framework: Behavioural Modelling, Numerical Analyses and Insights[J]. Reliability Engineering & System Safety）；（4）智能驾驶高可信高效率仿真测试关键技术研究构建了一种融合形状与时序差异的时序特征相似性度量模型，解析了模型特征参数对车辆动力学和传感器子系统可信度影响规律和作用机理，提出了融合指标间信息熵与对称不确定性的新型CRITIC客观赋权法，建立了场景测试价值多维一体化评价模型，构建了多维指标和主客观权重融合的车辆动力学、传感器和场景可信度评估模型。（相关论文：智能驾驶汽车动力学时序特征相似性度量方法与敏感性分析[J].汽车工程,2026）","主要从事新能源汽车火灾疏散安全、智能网联汽车测试评价等方面研究，入选2024年度国家资助博士后研究人员计划、长安大学汽车学院优秀青年人才培育计划，主持国家自然科学基金青年项目（C类）1项，国家重点研发计划项目子课题1项，陕西省基础研究计划项目1项，作为核心骨干参与国家重点研发计划项目课题1项，在RESS、IEEE TITS、TRB、《汽车工程》等交通、安全领域国内外顶级期刊、会议公开发表学术论文16篇，其中以第一作者SCI\u002FEI检索9篇，授权美国和中国发明专利8项、软件著作权2项，获2023年度陕西高等学校科学技术一等奖，受邀担任IEEE TITS、Physica A、IEEE ITSC等交通领域TOP期刊、会议审稿人。招收智能电动车辆、交通运输、交通运输工程专业保研和考研硕士研究生3-4名，欢迎各位同学联系报考。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     国际期刊及会议审稿人：《IEEE Transactions on Intelligent Transportation Systems》，《Physica A: Statistical Mechanics and its 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