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个人简介

徐铖铖,博士,教授,博士生导师,东南大学交通学院院长助理。2008年毕业于东南大学交通工程专业,获学士学位。2010年和2014年毕业于东南大学交通运输规划与管理专业,分别获硕士和博士学位。2011年8月至2012年8月在美国普渡大学博士联合培养。2014年11月留校任教。 先后主持了国家级、省部级等各类科研项目10余项。在上述领域中发表学术论文百余篇,其中80余篇被SCI/SSCI检索,第一作者或通讯作者SCI/SSCI论文47篇,在本领域顶尖期刊(JCR一区期刊)上发表论文37篇,EI检索论文70余篇。获国家发明专利授权35项,软件著作权4项。研究成果产生了一定的国际影响力,论文被中、美、英、加、德、法、荷等36个国家的学者广泛引用,论文在Google Scholar累计被引用接近2000次(H-Index为25),在Web of Science累计被引用1134次,其中严格他引885次;21篇论文引用超过30次。 研究成果获教育部技术发明一等奖(排名第二)、中国公路学会科学技术一等奖(排名第四)、中国公路学会科学技术二等奖(排名第七),中国智能交通协会全国优秀博士学位论文(2016)、江苏省优秀博士学位论文(2016)、教育部博士研究生学术新人奖(2011)等荣誉,入选东南大学“至善青年学者A类”(2018)、“优青培育计划”(2017)。获东南大学青年教师授课竞赛三等奖(2018)、东南大学微课竞赛奖(2017)、东南大学青年教师授课竞赛三等奖(2017)、中国路桥奖教金(2017),指导本科生获美国大学生数学建模竞赛一等奖(2017)、江苏省大学生智能交通创新创业大赛三等奖(2017)、东南大学优秀本科毕业设计论文(2018,2019)。 担任中国交通运输协会青科委委员、交通运输部自动驾驶技术行业研发中心核心成员、世界交通运输大会(WTC)技术委员会主席、中国道路交通安全智库专家等,受邀成为第十八和第十九届COTA国际交通科技年会(CICTP)交通安全和交通环境方向的领域编辑。在交通运输研究委员会年会(TRB)、世界交通运输大会(WTC)、中国智慧交通管理产业联盟年会、COTA国际交通科技年会(CICTP)、道路交通安全研究信息共享平台年会等国内外重要学术会议做特邀报告10余次。受邀成为Transportation Research Part A, Part C, IEEE Transactions on ITS, Accident Analysis and Prevention, Networks and Spatial Economics等23种SCI/SSCI期刊以及中国公路学报等10余种国内知名期刊和学术会议的审稿人,近五年来审阅300余篇论文。 欢迎有较强计算机编程、统计分析、数学建模、信息通信、机器学习等方面基础,对科研有深入兴趣的同学报考硕士、博士研究生。 主持科研项目 1.国家重点研发计划项目子课题,多模式交通网络拓扑结构分层解析与协同表达方法,2019/03-2021/12,主持 2.国家自然科学基金青年基金项目:城市道路网络的交通安全评价与优化设计方法研究,2016.01-2018.12,主持 3.国家自然科学基金与英国工程与自然科学研究理事会合作研究项目:低碳化进程中城市多模式交通系统运营关键问题研究—专题四,2015-2018,主持 4.江苏省自然科学基金面上项目,大数据驱动的城市快速路交通安全态势实时计算与主动调控,2017-2020,主持 5.住房和城乡建设部科学技术项目,城市群综合交通网络资源配置与协同优化方法研究,2018-2019,主持 6.公安部重点实验室开放课题:城市主干路安全隔离护栏设置指南研究,2016-2017,主持 7.公安部重点实验室开放课题:城市快速路安全隔离设施对交通事故的影响分析, 2015-2016,主持 8.东南大学人才引进项目,城市快速道路危险交通流状态主动预测方法,2015-2016,主持 9.多车道高速公路通行能力及交通组织方式研究,2015.1-2015.12,主持 10.南京市交通信息采集发布体系研究,2015.1-2015.7,主持 1l.东南大学示范性系列研讨课建设项目、东南大学教改项目等,2016-2018,主持 l2.东南大学“ESI社会科学排名提升计划”项目、“优秀青年教师教学科研资助计划”项目等,2015-2017,主持 已授权的代表性发明专利 1.基于线圈数据的机动车尾气污染物排放量计算方法,已授权,专利号:ZL201710951771.2. (第一发明人) 2.一种基于交通流数据的二次交通事故预测方法,已授权,专利号:ZL201611195854.5. (第一发明人) 3.一种评价道路交通特征对一氧化碳排放浓度影响的方法,已授权,专利号:ZL201710916400.0. (第一发明人) 4.一种基于交通流数据的二次交通事故时间预测方法,已授权,专利号:ZL201611195855.X. (第一发明人) 5.基于高精度交通流数据的二次交通事故预警方法,已授权,专利号:ZL201611187320.8. (第一发明人) 6.一种基于速度等值线图的二次交通事故的识别方法,专利号:ZL201611189120.6. (第一发明人) 7.一种山区公路事故易发路段分车型限速牌的连续设置方法,专利号:ZL201611063499.6. (第一发明人) 8.一种山区公路连续急弯路段交通标志的综合设置方法,专利号:ZL201611063552.2. (第一发明人) 9.一种基于关联规则的重特大交通事故致因识别方法,专利号:ZL201611063554.1. (第一发明人) 10.基于交通事故风险仿真分析的高速公路交织区确定方法,专利号:ZL201611063500.5. (第一发明人) 11.高速公路交通安全仿真分析的两阶段参数标定方法,专利号:ZL201611070485.7. (第一发明人) 12.获取客货分离式高速公路货运车道通行能力的方法和系统,已授权,专利号:ZL201510347207.0. (第一发明人) 13.一种降低不同严重程度交通事故概率的车辆调控方,已授权,专利号:ZL201310093427.6. (第一发明人) 14.一种降低侧向撞击交通事故概率的车辆调控方法,已授权,专利号:ZL201310092419.X. (第一发明人) 15.一种雨天状况下减少交通事故的车辆调控方法,已授权,专利号:ZL201310092575.6. (第一发明人) 16.一种基于减小车辆追尾事故数量的车辆调控方法,已授权,专利号:ZL201310093159.8. (第一发明人) 17.一种雾天状态下减少交通事故的车辆调控方法,已授权,专利号:ZL201310093600.2. (第一发明人) 18.基于交通数据和天气数据的减少交通事故的车辆调控方法,已授权,专利号:ZL201310093620.X. (第一发明人) 19.一种基于晴天状况下危险交通流特征的车辆调控方法,已授权,专利号:ZL201310092383.5. (第一发明人) 20.基于判别分析的快速道路实时交通事故风险预测方法,已授权,专利号:ZL201110301870.9. (第一发明人)

研究领域

主要研究方向包括交通安全、智能交通、交通大数据、人工智能与交通环境等

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

1.Xu, C., Wang, Y., Ding, W., & Liu, P. (2020). Modeling the Spatial Effects of Land-Use Patterns on Traffic Safety Using Geographically Weighted Poisson Regression. Accepted by Networks and Spatial Economics.(SCI/EI). 2.Wang, Y., Liu, P., Xu, C.*, Peng, C., & Wu, J. (2020). A deep learning approach to real-time CO concentration prediction at signalized intersection. Accepted by Atmospheric Pollution Research.(SCI/EI). 3.Xu, C., Wang, C., Ding, Y., & Wang, W. (2020). Investigation of extremely severe traffic crashes using fault tree analysis. Transportation letters, 12(3), 149-156.(SCI/EI). 4.Li, Z., Xu, C., Pu, Z., Guo, Y., & Liu, P. (2020). Reinforcement Learning-Based Variable Speed Limits Control to Reduce Crash Risks near Traffic Oscillations on Freeways. IEEE Intelligent Transportation Systems Magazine.(SCI/EI). 5.Xu, C., Ding, Z., Wang, C., & Li, Z. (2019). Statistical analysis of the patterns and characteristics of connected and autonomous vehicle involved crashes. Journal of safety research, 71, 41-47.(SSCI). 6.Xu, C., Zhao, J., & Liu, P. (2019). A geographically weighted regression approach to investigate the effects of traffic conditions and road characteristics on air pollutant emissions. Journal of Cleaner Production, 239, 118084. (SCI). 7.Wang, C., Xu, C.*, Xia, J., Qian, Z., & Lu, L. (2018). A combined use of microscopic traffic simulation and extreme value methods for traffic safety evaluation. Transportation Research Part C: Emerging Technologies, 90, 281-291. (SCI/EI). 8.Xu, C., Ji, J., & Liu, P. (2018). The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets. Transportation research part C: emerging technologies, 95, 47-60. (SCI/EI). 9.Xu, C., Bao, J., Wang, C., & Liu, P. (2018). Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China. Journal of safety research, 67, 65-75. (SSCI). 10.Xu, C., Wang, C., & Liu, P. (2018). Evaluating the combined effects of weather and real-time traffic conditions on freeway crash risks. Weather, climate, and society, 10(4), 837-850. (SCI). 11.Wang, C., Xu, C.*, Xia, J., & Qian, Z. (2018). The effects of safety knowledge and psychological factors on self-reported risky driving behaviors including group violations for e-bike riders in China. Transportation research part F: traffic psychology and behaviour, 56, 344-353. (SSCI). 12.Xu, C., Wang, Y., Liu, P., Wang, W., & Bao, J. (2018). Quantitative risk assessment of freeway crash casualty using high-resolution traffic data. Reliability Engineering & System Safety, 169, 299-311. (SCI). 13.Li, Y., Xu, C.*, Xing, L., & Wang, W. (2017). Integrated cooperative adaptive cruise and variable speed limit controls for reducing rear-end collision risks near freeway bottlenecks based on micro-simulations. IEEE transactions on intelligent transportation systems, 18(11), 3157-3167.(SCI/EI). 14.Bao, J., Xu, C.*, Liu, P., & Wang, W. (2017). Exploring bikesharing travel patterns and trip purposes using smart card data and online point of interests. Networks and Spatial Economics, 17(4), 1231-1253. (SCI). 15.Xu, C., Bao, J., Liu, P., & Wang, W. (2018). Investigation of contributing factors to extremely severe traffic crashes using survival theory. International journal of injury control and safety promotion, 25(2), 141-153. (SSCI). 16.Xu, C., Li, H., Zhao, J., Chen, J., & Wang, W. (2017). Investigating the relationship between jobs-housing balance and traffic safety. Accident Analysis & Prevention, 107, 126-136. 17.Chengcheng Xu, Dawei Li, Zhibin Li. Utilizing Structural Equation Modeling and Segmentation Analysis in Real-time Crash Risk Assessment on Freeways. KSCE Journal of Civil Engineering, 2017. (SCI/EI). 18.Chen Wang, Chengcheng Xu*, Jinxin Xia. Modeling Faults among E-bike related Fatal Crashes in China. Traffic Injury Prevention, 2017. (SCI/SSCI). 19.Chengcheng Xu, Pan Liu, Bo Yang, Wei Wang. Real-Time Estimation of Secondary Crash Likelihood on Freeways Using High-Resolution Loop Detector Data. Transportation Research Part C: Emerging Technologies, vol. 71, 2016, pp.406-418. (SCI/EI). 20.Chengcheng Xu, Pan Liu, Wei Wang. Evaluation of the Predictability of Real-time Crash Risk Models. Accident Analysis & Prevention, vol. 94, 2016, pp.207-215. (SSCI/EI). 21.Chengcheng Xu, Pan Liu, Wei Wang, Zhibin Li. Real-time Identification of Traffic Conditions Prone to Injury and Non-injury Crashes on Freeways Using Genetic Programming. Journal of Advanced Transportation, Vol. 50, 2016, pp. 701–716. (SCI/EI). 22.Chengcheng Xu, Zhibin Li, Wei Wang. Short-term Traffic Flow Prediction Using a Methodology Based on Autoregressive Integrated Moving Average and Genetic Programming. Transport, vol. 31, No. 3, 2016, pp.343-358. (SCI/EI). 23.Chengcheng Xu, Pan Liu, Wei Wang, Zhibin Li. Safety Performance of Traffic Phases and Phase Transitions in Three Phase Traffic Theory. Accident Analysis & Prevention, vol. 85, 2015, pp.45-57. (SSCI/EI). 24.Chengcheng Xu, Wei Wang, Pan Liu, Zhibin Li. Calibration of crash risk models on freeways with limited real-time traffic data using Bayesian meta-analysis and Bayesian inference approach. Accident Analysis & Prevention, vol. 85, 2015, pp.207-218. (SSCI/EI). 25.Chengcheng Xu, Wei Wang, Pan Liu, Fangwei Zhang. Development of a Real-time Crash Risk Prediction Model Incorporating the Various Crash Mechanisms across Different Traffic States. Traffic Injury Prevention.Vol. 16, 2015, pp.28-35. (SCI/SSCI). 26.Chengcheng Xu, Wei Wang, Pan Liu, Rui Guo, Zhibin Li. Using the Bayesian updating approach to improve the spatial and temporal transferability of real-time crash risk prediction models. Transportation Research Part C: Emerging Technologies, vol. 38, 2014, 167-176. (SCI/EI). 27.Chengcheng Xu, Pan Liu, Wei Wang, Zhibin Li. Identification of Freeway Crash-prone Traffic Conditions for Traffic Flow at Different Levels of Service. Transportation Research Part A: Policy and Practice, vol. 69, 2014, pp.58-70. (SCI/SSCI/EI). 28.Chengcheng Xu, Pan Liu, Wei Wang, Xuan Jiang, Yuguang Chen. Effects of the Behavioral Characteristics of Taxi Drivers on Safety and Capacity of Signalized Intersections. Journal of Central South University. Vol. 21, 2014, pp. 4033-4042. (SCI/SSCI/EI). 29.Chengcheng Xu, Wei Wang, Pan Liu. A genetic programming model for real-time crash prediction on freeways. IEEE Transactions on Intelligent Transportation Systems, vol. 14, No. 2, 2013, pp.574-586. (SCI/EI) 30.Chengcheng Xu, Andrew P. Tarko, Wei Wang, Pan Liu. Predicting crash likelihood and severity on freeways with real-time loop detector data. Accident Analysis & Prevention, vol. 57, 2013, pp.30-39. (SSCI/EI). 31.Chengcheng Xu, Wei Wang, Pan Liu. Identifying crash-prone traffic conditions under different weather on freeways. Journal of Safety Research, vol. 46, 2013, pp. 135-144. (SSCI/EI). 32.Chengcheng Xu, Pan Liu, Wei Wang, Xuan Jiang. Development of a crash risk index to identify real-time crash risks on freeways. KSCE Journal of Civil Engineering, vol. 17, No. 7, 2013, pp.1788-1797.(SCI/EI). 33.Pan Liu, Chengcheng Xu, Wei Wang, Jingjing Wan. Identifying Factors Affecting Drivers’ Selection of Unconventional Outside Left-turn Lanes at Signalized Intersections. IET Intelligent Transport Systems, vol. 7, No. 4, 2013, pp. 396-403. (SCI/EI). 34.Chengcheng Xu, Pan Liu, Wei Wang, Zhibin Li. Evaluation of the impacts of traffic states on crash risks on freeways. Accident Analysis & Prevention, vol. 47, 2012, pp.162-171. (SSCI/EI). 35.Chengcheng Xu, Wei Wang, Jun Chen, Weijie Wang, Chen Yang, Zhibin Li. Analyzing Travelers’ Intention to Accept Travel Information: Structural Equation Modeling. Transportation Research Record, 2010, No. 2156, pp. 93–100. (SCI/SSCI/EI).

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