职 称:副教授、硕导
办公地址:华南理工大学五山校区交通大楼521D
招生专业:交通运输规划与管理(学硕)、交通运输(专硕)
个人简介
曾强,男,1988年9月出生,湖南邵东人。主持国家自然科学基金1项、省部级课题3项,并参与了包括科技部重点研发计划项目在内的多项国家、省部级课题。以第一作者/通讯作者在《Accident Analysis and Prevention》、《Analytic Methods in Accident Research》、《Journal of Transport Geography》、《Journal of Safety Research》、《Transportmetrica A: Transport Science》等交通运输领域国际权威SCI/SSCI期刊上发表学术论文多篇。担任《Frontiers in Future Transportation》审稿编辑,《Journal of Advanced Transportation》、《交通运输工程学报》、《交通信息与安全》专刊客座编辑、组稿专家,以及《IEEE Transaction on ITS》等30余个学术期刊和会议的审稿人,多次被评为“优秀审稿人”。兼任中国交通运输协会青年科技工作者委员会委员、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。
教育背景
2012.09—2015.12 中南大学 交通运输工程专业 博士
2010.09—2012.06 中南大学交通运输规划与管理专业 硕士
2006.09—2010.06 中南大学 交通运输专业 学士
工作经历
2018.10— 华南理工大学 土木与交通学院 助理研究员、副教授
2018.07—2019.07 香港理工大学 电机工程学系 助理研究员
2016.06—2018.10 华南理工大学 土木与交通学院 博士后、助理研究员
研究方向
¨ 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
代表性科研项目
[1] 国家自然科学基金(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,2019-2021;
[2] 中国博士后科学基金(一等)(2017M610529):基于交通大数据的区域交通事故率分析理论与方法,2017-2018;
[3] 广东省自然科学基金(2017A030310161):基于交通大数据的城市道路交通事故率分析理论与方法,2018-2020;
[4] 广州市科技计划项目:考虑昼夜差异的区域路网事故频次与严重程度联合预测研究,2021-2023;
代表性论文(*通讯作者)
[1] 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, Q1, Top期刊)
[2] 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, Q1, Top期刊)
[3] 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, Q1, Top期刊)
[4] 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, Q1, Top期刊)
[5] 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, Q1, Top期刊)
[6] 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, Q1)
[7] 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, Q1, Top期刊)
[8] 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, Q1, Top期刊, ESI高被引论文)
[9] 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, Q1, Top期刊, ESI高被引论文)
[10] 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&SSCI, Q2)
[11] 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, Q1, Top期刊, ESI高被引论文, ESI热点论文)
[12] 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: 105249. (SSCI, Q1, Top期刊, ESI高被引论文, ESI热点论文)
[13] 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&SSCI, Q2, ESI高被引论文, ESI热点论文)
[14] 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, Q3, ESI高被引论文)
[15] 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, Q2)
[16] 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, Q3)
[17] Qiang Zeng, Pengpeng Xu, 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, Q1, Top期刊)
[18] 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, 2021, DOI: 10.1080/23249935.2021.1922536. (SCI&SSCI, Q2)
[19] 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&SSCI, Q3)
[20] 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.