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更新日期：2023年3月16日 姓 名 曾强 性 别 男 出生年月 1988年9月 籍贯 湖南邵东县 民 族 汉族 政治面貌 中国共产党党员 最后学历 博士研究生毕业 最后学位 工学博士 技术职称 副教授 导师类别 硕导 行政职务 系副主任 Email zengqiang@scut.edu.cn 工作单位 华南理工大学 邮政编码 通讯地址 单位电话 工作经历 •  2018.10—                华南理工大学     土木与交通学院      讲师、副教授•  2019.01—2020.01    The Hong Kong Polytechnic University    Department of Electronic Engineering   Research Assistant•  2016.06—2018.10    华南理工大学   土木与交通学院   助理研究员、博士后 教育经历 •  2012.09—2015.12    中南大学   交通运输工程专业    工学博士•  2010.09—2012.06    中南大学     交通运输专业        工学硕士•  2006.09—2010.06    中南大学     交通运输专业        工学学士 获奖、荣誉称号 •  2017 年 获   中南大学优秀博士学位论文奖•  2016 年 获   智能交通领域全国优秀博士学位论文奖 社会、学会及学术兼职 • Accident Analysis and Prevention编委•  PLOS ONE 学术编辑（Academic Editor）。•  Journal of Advanced Transportation特刊：Safety, Behavior, and Sustainability under the Mixed Traffic Flow Environment客座编辑。•《交通运输工程学报》“数据驱动的交通系统优化与决策”专刊组稿专家。• 《交通信息与安全》“交通安全统计分析”专栏主编。•  交通领域国内外权威期刊Accident Analysis and Prevention (Outstanding Reviewer)、IEEE transaction on Intelligence Transportation Systems、Transportmetrica A、Transportation Research Part F、Traffic Injury Prevention、Transportation Research Record、Journal of Advanced Transportation、PLoS One、Journal of Transportation Safety and Security、PROMET-Traffic & Transportation、Tsinghua Science and Technology、Arabian Journal for Science and Engineering、Journal of Modern Transportation、Journal of Traffic and Transportation Engineering、The Open Transportation Journal、Advances in Transportation Studies、中国公路学报、深圳大学学报和国际会议TRB、WTC、CICTP、ICTPA、ICTIS、HKSTS、EURO Working Group on Transportation Meeting审稿人。•  WTC智能交通系统、交通前沿技术、交通安全管理技术委员会委员。 研究领域 •  道路交通安全：事故预测建模、道路安全评价、交通安全规划•  公共交通运营与管理：地铁列车开行方案优化、公交线网规划 科研项目 1. 国家自然科学基金青年项目，71801095，考虑空间溢出效应和事故漏报特性的高速公路交通安全综合评价研究，2019/01-2021/12，18万元，在研，主持。2. 广东省自然科学基金博士启动项目，2017BQ026，基于交通大数据的城市道路交通事故率分析理论与方法，2017/06 -2020/05，10万元，在研，主持。3. 中国博士后科学基金项目，2017M610529，基于交通大数据的区域交通事故率分析理论与方法， 2017/05 -2018/06，8万元，已结题，主持。4. 国家重点研发计划项目，SQ2017YFGH002253，道路交通安全统计分析与建模国际对比研究，2019/07-2021/07，285万元，在研，参与。 发表论文 •  英文期刊论文（*通讯作者）[1] Lianbo Deng, Qiang Zeng, Wei Gao, Song Bin. Optimization of train plan for urban rail transit in the multi-routing mode [J]. Journal of Modern Transportation, 2011, 19(4): 233-239.[2] Lianbo Deng, Qiang Zeng, Wenliang Zhou, Feng Shi. The effect of train formation length and service frequency on the determination of train schedules [J]. Proceedings of the Institution of Mechanical Engineers Part F：Journal of Rail and Rapid Transit, 2014, 228(4): 378-388. (SCI)[3] Qiang Zeng, Helai Huang. Bayesian spatial joint modeling of traffic crashes on an urban road network [J]. Accident Analysis and Prevention, 2014, 67: 105-112. (SSCI)[4] Qiang Zeng, Helai Huang. A stable and optimized neural network model for crash injury severity prediction [J]. Accident Analysis and Prevention, 2014, 73: 351-358.  (SSCI)[5] Helai Huang, Chunyang Li, Qiang Zeng*. Crash protectiveness to occupant injury and vehicle damage: An investigation on major car brands [J]. Accident Analysis and Prevention, 2016, 86: 129-136. (SSCI)[6] Helai Huang, Qiang Zeng, Xin Pei, SC Wong, Pengpeng Xu. Predicting crash frequency using an optimized radial basis function neural network model [J]. Transportmetrica A: Transport Science, 2016, 12(4): 330-345. (SCI)[7] Qiang Zeng, Helai Huang, Xin Pei, SC Wong. Modeling nonlinear relationship between crash frequency by severity and contributing factors by neural networks [J]. Analytic Methods in Accident Research, 2016, 10: 12-25. (SSCI)[8] Helai Huang, Bo Song, Pengpeng Xu, Qiang Zeng*, Jaeyoung Lee, Mohamed Abdel-Aty. Macro and micro models for zonal crash prediction with application in hot zones identification [J]. Journal of Transport Geography, 2016, 54: 248-256. (SSCI)[9] Qiang Zeng, Huiying Wen, Helai Huang. The interactive effect on injury severity of driver-vehicle units in two-vehicle crashes [J]. Journal of Safety Research, 2016, 59: 105-111. (SSCI)[10] Qiang Zeng, Helai Huang, Xin Pei, SC Wong, Mingyun Gao. Rule extraction from an optimized neural network for traffic crash frequency modeling [J]. Accident Analysis and Prevention, 2016, 97: 87-95. (SSCI)[11] Jie Wang, Helai Huang, Qiang Zeng. The effect of zonal factors in estimating crash risks by transportation modes: Motor vehicle, bicycle and pedestrian [J]. Accident Analysis and Prevention, 2017, 98: 223-231. (SSCI)[12] Qiang Zeng*, Huiying Wen, Helai Huang, Xin Pei, SC Wong. A multivariate random parameters Tobit model for analyzing highway crash rate by injury severity [J]. Accident Analysis and Prevention, 2017, 99: 184-191. (SSCI)[13] Qiang Zeng*, Huiying Wen, Helai Huang, Mohamed Abdel-Aty. A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments [J]. Accident Analysis and Prevention, 2017, 100: 37-43. (SSCI, ESI高被引论文)[14] Qiang Zeng, Jiaren Sun, Huiying Wen. Bayesian hierarchical modeling monthly crash counts on freeway segments with temporal correlation [J]. Journal of Advanced Transportation, 2017. Article ID: 5391054, DOI:10.1155/2017/5391054. (SCI)[15] Qiang Zeng, Huiying Wen, Helai Huang, Xin Pei, SC Wong. Incorporating temporal correlation into a multivariate random parameters Tobit model for modeling crash rate by injury severity [J]. Transportmetrica A: Transport Science, 2018, 14 (3): 177-191. (SCI)[16] Huiying Wen, Jiaren Sun, Qiang Zeng*, Xuan Zhang, Quan Yuan. The effects of traffic composition on freeway crash frequency by injury severity: A Bayesian multivariate spatial modeling approach [J]. Journal of Advanced Transportation, 2018. Article ID: 6964828, DOI:10.1155/2018/6964828. (SCI)[17] Huiying Wen, Xuan Zhang, Qiang Zeng*, Jaeyoung Lee, Quan Yuan. Investigating spatial autocorrelation and spillover effects in freeway crash-frequency data [J]. International Journal of Environmental Research and Public Health, 2019, 16 (2), 219 (Special issue: Promotion of Big Data and Intelligent Transportation to Traffic Safety and Environment). (SCI)[18] Qiang Zeng, Weihua Gu, Xuan Zhang, Huiying Wen, Jinwoo Lee, Wei Hao. Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors [J]. Accident Analysis and Prevention, 2019, 127, 87-95. (SSCI, ESI热点、高被引论文)[19] Huiying Wen, N.N. Sze, Qiang Zeng*, Sangen Hu. Effect of Music Listening on Physiological Condition, Mental Workload and Driving Performance with Consideration of Driver Temperament [J]. International Journal of Environmental Research and Public Health, 2019, 16 (15), 2766 (Special issue: Promotion of Big Data and Intelligent Transportation to Traffic Safety and Environment). (SCI)[20] Huiying Wen, Xuan Zhang, Qiang Zeng*, N.N. Sze. Bayesian spatial-temporal model for the main and interaction effects of roadway and weather characteristics on freeway crash incidence [J]. Accident Analysis and Prevention, 2019, 132: 1-6. (SSCI)[21] Qiang Zeng, Qiang Guo, SC Wong, Huiying Wen, Helai Huang, Xin Pei. Jointly modeling area-level crash rates by severity: A Bayesian multivariate random-parameters spatio-temporal Tobit regression [J]. Transportmetrica A: Transport Science, 2019, 15(2): 1867-1884. (SCI)[22] Zhengwu Wang, Jie Yu, Wei Hao, Jinjun Tang, Qiang Zeng, Changxi Ma, Rongjie Yu. Two-step Coordinated Optimization Model of Mixed Demand Responsive Feeder Transit [J]. Journal of Transportation Engineering, Part A: Systems, 2020, 146(3): 04019082. (SCI)[23] Qiang Zeng, Huiying Wen, SC Wong, Helai Huang, Qiang Guo, Xin Pei. Spatial joint analysis for zonal daytime and nighttime crash frequencies using a Bayesian bivariate conditional autoregressive model [J]. Journal of Transportation Safety and Security, 2020, 12(4): 566-585. (SSCI)[24] Qiang Zeng, Huiying Wen, Jie Wang, Helai Huang, Jinwoo Lee. Analysis of crash frequency using a Bayesian underreporting count model with spatial correlation [J]. Physica A: Statistical Mechanics and its Applications, 2020, 545, 123754. (SCI)[25] Quan Yuan, Junwei Zhao, Xuecai Xu, Qiang Zeng. Investigation of Injury Severity in Urban Expressway Crashes: A Case Study from Beijing [J]. PLOS ONE, 2020, 15(1): e0227869. (SCI)[26] Qiang Zeng, Wei Hao, Jaeyoung Lee, Feng Chen. Investigating the impacts of real-time weather conditions on freeway crash severity: A Bayesian spatial analysis [J]. International Journal of Environmental Research and Public Health, 2020, 17(8), 2768 (Special issue: Traffic Accident Control and Prevention). (SCI)[27] Qiang Zeng, Xuesong Wang, Huiying Wen, Quan Yuan. An empirical investigation of the factors contributing to local-vehicle and non-local-vehicle crashes on freeway [J]. Journal of Transportation Safety and Security, 2022, 14(2): 323-337. (SSCI)[28] Wei Hao, Donglei Rong, Kefu Yi*, Qiang Zeng*, Zhibo Gao*, Wenguang Wu*, Chongfeng Wei, Biljana Scepanovic. Traffic Status Prediction of Arterial Roads Based on the Deep Recurrent Q-Learning [J]. Journal of Advanced Transportation, 2020. Article ID 8831521, DOI: 10.1155/2020/8831521.[29] Tiantian Chen, N.N. Sze, Sikai Chen, Samuel Labi, Qiang Zeng. Analysing main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model [J]. Accident Analysis and Prevention, 2021, 154: 106089. (SSCI)[30] Qiang Zeng, Pengpeng Xu, Xuesong Wang, Huiying Wen, Wei Hao. Applying a Bayesian multivariate spatio-temporal interaction model based approach to rank sites with promise using severity-weighted decision parameters [J]. Accident Analysis and Prevention, 2021, 157: 106190. (SSCI)[31] Xuan Zhang, Huiying Wen, Toshiyuki Yamamoto, Qiang Zeng. Investigating hazardous factors affecting freeway crash injury severity with real-time weather data: using a Bayesian multinomial logit model with conditional autoregressive priors. [J]. Journal of Safety Research, 2021, 76: 248-255. (SSCI)[32] Qiang Zeng, Qianfang Wang, Fangzhou Wang, N.N. Sze. Revisiting spatial correlation in crash injury severity: A Bayesian generalized ordered probit model with Leroux conditional autoregressive prior [J]. Transportmetrica A: Transport Science, 2022, 18(3): 1084-1102. (SCI)[33] Qiang Zeng, Fangzhou Wang, Qianfang Wang, Xin Pei, Quan Yuan. Bayesian multivariate spatial modeling for crash frequencies by injury severity at daytime and nighttime in traffic analysis zones [J]. Transportation Letters: the International Journal of Transportation Research, 2022, DOI: 10.1080/19427867.2022.2072459.  (SCI)[34] Qiang Zeng, Qianfang Wang, Xiaofei Wang. An empirical analysis of factors contributing to roadway infrastructure damage from expressway accidents: A Bayesian random parameters Tobit approach [J]. Accident Analysis and Prevention, 2022, 173: 106717. (SSCI)[35] Qiang Zeng, Fangzhou Wang, Tiantian Chen, N.N. Sze. Incorporating real-time weather conditions into analyzing clearance time of freeway accidents: A grouped random-parameters hazard-based duration model with time-varying covariates [J]. Analytic Methods in Accident Research, 2023, 38: 100267. (SSCI)•  中文期刊论文（*通讯作者）[1] 邓连波, 曾强, 高伟, 宾松. 城市轨道交通列车开行方案优化方法[J]. 中国科技论文在线, 2010, 5(10): 767-772.[2] 邓连波，高伟，赖天珍，曾强. 基于换乘网络的城市轨道交通关联公交接驳线网优化[J]. 铁道科学与工程学报. 2012, 9(6): 77-83.[3] 邓连波, 曾强, 高伟, 周文梁. 基于弹性需求的城市轨道交通列车开行方案研究[J]. 铁道学报, 2012, 34(12): 16-25. (EI)[4] 温惠英, 卢德佑, 吴亚平, 曾强. 基于改进的模糊聚类方法的物流园交通小区划分[J]. 哈尔滨工业大学学报(自然科学版), 2018, 50(03): 103-108. (EI)[5] 温惠英, 孙佳人, 曾强*, 张璇. 高速公路交通构成的安全效应计量评价[J]. 华南理工大学学报(自然科学版), 2018, 46(06): 1-7. (EI) [6] 曾强, 王雪松, 张璇, 温惠英. 基于时空交互模型的高速公路季节事故频次影响因素分析[J]. 中国公路学报, 2020, 33(11): 255-263.[7] 曾强, 苏绮琪，郑嘉仪，张璇. 基于贝叶斯时空建模的高速公路事故黑点判别[J]. 交通信息与安全, 2020, 38(6): 87-94.[8] 温惠英, 张璇, 曾强*. 高速公路单车事故等级影响因素分析[J]. 华南理工大学学报(自然科学版), 2021, 49(8): 12-18. 出版专著和教材 [1] 袁泉, 郭延永, 邹铁方, 曾强, 冯浩. 车辆-弱势道路使用者碰撞重建与安全分析 [M]. 清华大学出版社, 2022. 科研创新 [1] 黄合来, 曾强, 宋博, 许鹏鹏. 一种基于贝叶斯联合模型量化径路安全水平的方法 [P]. 中国：201510127230.9.[2] 曾强，王方舟，王雪松，王晓飞. 一种基于时变加速失效时间模型的高速公路交通事故持续时间预测方法 [P]. 中国. （已申请） 教学活动 交通设计、轨道交通规划与设计、轨道交通运营组织与管理、预测与决策技术、交通数据采集与信息管理、交通港站与枢纽设计 指导学生情况 2020级：汪倩芳(获硕士生国家奖学金)、王方舟（获温氏筠诚奖学金）2021级：徐子逸、李梓康2022级：唐媛、刘祥