郭延永，教授，博士生导师。于东南大学交通运输规划与管理专业获得博士学位。在加拿大英属哥伦比亚大学博士联合培养，并从事博士后研究。担任世界交通运输大会技术委员会主席、中国交通运输协会青年科技工作者委员会委员、中国自动化学会平行控制与管理专业委员会委员、国家自然科学基金通讯评审专家、国家“万人计划”科技创新领军人才通讯评审专家等。
主要研究方向包括交通冲突技术、多源事故数据挖掘与建模、计算机视频识别技术、交通大数据挖掘、自动驾驶安全理论等。主持了国家重点研发计划课题、国家自然科学基金、江苏省自然科学基金等重要科研项目10余项。研究成果在雄安新区、辽宁等地高速公路重点项目中得到应用，获中国公路学会科技进步特等奖（排名3）。
在国内外知名期刊上发表学术论文100余篇，其中sci/ssci期刊收录50余篇，ei检索50余篇，论文被国内外学者累计引用2000余次（h指数24），获国家发明专利34项，软件著作权6项。担任第二十&二十一届cota国际交通科技年会自动驾驶论坛主席、第二十二届cota国际交通科技年会交通安全与应急处理论坛主席，第六届ictis国际交通信息与安全年会道路交通安全论坛主席、第十八届cota国际交通科技年会智能交通领域编辑(荣获最佳编辑奖)。担任《frontiers in future transportation-transport safety》副主编，《accident analysis & prevention》编委，《journal of advanced transportation》编委，《中国公路学报》青年编委，《交通运输工程学报》青年编委，为transportation research part a-f，aap，amar，ieee its，中国公路学报，清华大学学报等期刊审稿人。
欢迎具有交通、计算机、自动化等相关专业背景同学报考东南大学、东南大学-蒙纳士大学苏州联合研究生院、东南大学无锡校区的博士、硕士研究生。欢迎已毕业/即将毕业博士报名“至善博士后”、全职/在职博士后。
88038威尼斯的联系方式
地址：南京市江宁区东南大学路2号东南大学交通学院1217室
邮箱：
科研项目：
2023.12-2027.12，负责人，国家重点研发计划课题（2023yfb4302701）
2023.01-2026.12，负责人，国家自然科学基金面上项目（52272343）
2023.01-2025.12，负责人，江苏省自然科学基金面上项目（bk2022022056）
2021.01-2022.12，负责人，教育部产学合作协同育人项目（220904715074038）
2018.01-2020.12，负责人，国家自然科学基金青年项目（71701046）
学术成果：
§ 专著
袁泉，郭延永等，《车辆-弱势道路使用者碰撞重建与安全分析》，清华大学出版社，2022年
§ 期刊论文
[1] hu, c., xu, l., guo, y., jing, x., lu, x., & liu, p. (2023). hsv-3s and 2d-gda for high-saturation low-light image enhancement in night traffic monitoring. ieee transactions on intelligent transportation systems.
[2] 郭延永, 刘佩, 袁泉, 刘攀, 徐进, 张晖. (2023). 网联自动驾驶车辆道路交通安全研究综述. 交通运输工程学报, 23(5), 19-38.
[3] ding, h., sze, n. n., guo, y.*, & lu, y. (2023). effect of the ultra-low emission zone on the usage of public bike sharing in london. transportation letters, 15(7), 698-706.
[4] zhou, j., shen, y., guo, y.*, & dong, s. (2023). exploring the factors affecting electric bicycle riders' working conditions and crash involvement in ningbo, china. journal of traffic and transportation engineering (english edition), 10(4), 633-646.
[5] ouyang, p., liu, p., guo, y., & chen, k. (2023). effects of configuration elements and traffic flow conditions on lane-changing rates at the weaving segments. transportation research part a: policy and practice, 171, 103652.
[6] ding, h., lu, y., sze, n. n., antoniou, c., & guo, y. (2023). a crash feature-based allocation method for boundary crash problem in spatial analysis of bicycle crashes. analytic methods in accident research, 37, 100251.
[7] 成卫, 黄金涛, 陈昱光, 郭延永, 俞灏. (2023). 基于浮动车速度波动特征的交通状态识别. 交通运输系统工程与信息, 23(1), 67.
[8] yang, b., guo, y., zhang, w., yao, y., & wu, y. (2022). exploring the impacts of traffic flow states on freeway normal crashes, primary crashes, and secondary crashes, iet intelligent transport systems, doi: 10.1049/itr2.12199
[9] 韩雨, 郭延永*, 张乐, 刘攀. (2022). 消除高速公路运动波的可变限速控制方法. 中国公路学报, 35(1), 151-158.
[10]zhou, j., guo, y.*, sun, j., yu, e., & wang, r. (2022). review of bike-sharing system studies using bibliometrics method. journal of traffic and transportation engineering (english edition). https://doi.org/10.1016/j.jtte.2021.08.003
[11]ding, h., lu, y., sze, n. n., chen, t., guo, y., & lin, q. (2022). a deep generative approach for crash frequency model with heterogeneous imbalanced data. analytic methods in accident research, 100212.
[12]郭延永, 刘攀, 吴瑶, & 李清韵. (2022). 基于冲突极值模型的非常规信号交叉口安全评价. 中国公路学报, 35(1), 85-92.
[13]zhao, j., guo, y., & liu, p. (2022). safety impacts of geometric design on freeway segments with closely spaced entrance and exit ramps. accident analysis & prevention, 163, 106461.
[14]guo, y., zheng, l., tarek, s., & essa, m. (2021). an extreme value theory based calibration approach to enhance safety estimation from microsimulation models. simulation modelling practice and theory, 106, 102172.
[15]li, x., ma, r., guo, y.*, wang, w., yan, b., & chen, j. (2021). investigation of factors and their dynamic effects on intercity travel modes competition. travel behaviour and society, 23, 166-176.
[16]yuan, y., yang, m., guo, y., rasouli, s., gan, z., & ren, y. (2021). risk factors associated with truck-involved fatal crash severity: analyzing their impact for different groups of truck drivers. journal of safety research. 76, 154-165.
[17]ding, h., sze, n. n., li, h., & guo, y. (2021). affected area and residual period of london congestion charging scheme on road safety. transport policy. 100, 120-128.
[18]ding, h., sze, n. n., guo, y., & li, h. (2021). role of exposure in bicycle safety analysis: effect of cycle path choice. accident analysis & prevention, 153, 106014.
[19]ding, h., sze, n. n., li, h., & guo, y. (2021). effect of london cycle hire scheme on bicycle safety. travel behaviour and society, 22, 227-235
[20]guo, y., tarek, s., & essa, m. (2020). real-time conflict-based bayesian tobit models for safety evaluation of signalized intersections. accident analysis & prevention. 144, 105660.
[21]guo, y., sayed, t., & zheng, l (2020). a hierarchical bayesian peak over threshold approach for conflict-based before-after safety evaluation of leading pedestrian intervals. accident analysis & prevention, 147, 105772.
[22]guo, y., liu, p., wu, y., & chen, j. (2020). evaluating how right-turn treatments affect right-turn-on-red conflicts at signalized intersections. journal of transportation safety & security, 12(3), 419-440.
[23]guo, y., & tarek, s. (2020). before–after evaluation of left-turn lane extension considering injury severity and collision type. transportation research record: journal of the transportation research board. 2674 (8), 67-77.
[24]guo, y., zheng, l., & tarek, s. (2020). a comparison of collision-based and conflict-based before-after study: safety evaluation of left-turn bay extension. transportmetrica a: transport science, 16(3), 676-694.
[25]ding, h., sze, n. n., li, h., & guo, y., (2020). roles of infrastructure and land use in bicycle crash exposure and frequency: a case study using greater london bike sharing data. accident analysis & prevention, 144, 105652.
[26]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.
[27]zheng, l., sayed, t., & guo, y. (2020). investigating factors that influence pedestrian and cyclist violations on shared use path: an observational study on the brooklyn bridge promenade. international journal of sustainable transportation, 14(7), 503-512.
[28]guo, y., sayed, t., & zaki, m. h. (2019). examining two-wheelers' overtaking behavior and lateral distance choices at a shared roadway facility. journal of transportation safety & security, 12(8), 1046-1066.
[29]guo, y., essa, m., sayed, t., haque, m. m., & washington, s. (2019). a comparison between simulated and field-measured conflicts for safety assessment of signalized intersections in australia. transportation research part c: emerging technologies, 101, 96-110.
[30]guo, y., li, z., liu, p., & wu, y. (2019). modeling correlation and heterogeneity in crash rates by collision types using full bayesian random parameters multivariate tobit model. accident analysis & prevention, 128, 164-174.
[31]guo, y., sayed, t., & zaki, m. h. (2019). evaluating the safety impacts of powered two wheelers on a shared roadway in china using automated video analysis. journal of transportation safety & security, 11(4), 414-429.
[32]guo, y., li, z., & sayed, t. (2019). analysis of crash rates at freeway diverge areas using bayesian tobit modeling framework. transportation research record: journal of the transportation research board, 2673(4) 652-662.
[33]zhou, j., guo, y*., dong, s., zhang, m., & mao, t. (2019). simulation of pedestrian evacuation route choice using social force model in large-scale public space: comparison of five evacuation strategies. plos one, 14(9), e0221872.
[34]yang, b., liu, p., chang, c., xu, c., & guo, y. (2019). identifying the crash characteristics on freeway segments based on different ramp influence area. traffic injury prevention, 20(4), 386-391.
[35]guo, y., osama, a., & sayed, t. (2018). a cross-comparison of different techniques for modeling macro-level cyclist crashes. accident analysis & prevention, 113, 38-46.
[36]guo, y., li, z., wu, y., & xu, c. (2018). evaluating factors affecting electric bike users’ registration of license plate in china using bayesian approach. transportation research part f: traffic psychology and behaviour, 59, 212-221.
[37]guo, y., sayed, t., & zaki, m. h. (2018). exploring evasive action–based indicators for ptw conflicts in shared traffic facility environments. journal of transportation engineering, part a: systems, 144(11), 04018065.
[38]guo, y., li, z., wu, y., & xu, c. (2018). exploring unobserved heterogeneity in bicyclists’ red-light running behaviors at different crossing facilities. accident analysis & prevention, 115, 118-127.
[39]chen, j., wang, s., liu, z., & guo, y. (2018). network-based optimization modeling of manhole setting for pipeline transportation. transportation research part e: logistics and transportation review, 113, 38-55.
[40]郭延永, 刘攀, 吴瑶, 李晓伟.考虑异质性的贝叶斯交通冲突模型. 中国公路学报, 2018, 1(4), 296-303.
[41]郭延永, 刘攀, 吴瑶, 杨梦琳. 基于贝叶斯多元泊松-对数正态分布的交通冲突模型. 中国公路学报, 2018, 31(1), 101-109.
[42]guo, y., sayed, t., & zaki, m. h. (2017). automated analysis of pedestrian walking behaviour at a signalised intersection in china. iet intelligent transport systems, 11(1), 28-36.
[43]郭延永, 刘攀, 吴瑶, 周继彪. 基于交通冲突模型的信号交叉口渠化岛设置方法. 交通运输工程学报. 2017, 17(4), 140-148.
[44]周继彪, 郭延永*,吴瑶. 电动自行车事故和车牌使用影响因素分析. 交通运输系统工程与信息. 2017, 17(3): 229-234.
[45]guo, y., sayed, t., zaki, m. h., & liu, p. (2016). safety evaluation of unconventional outside left-turn lane using automated traffic conflict techniques. canadian journal of civil engineering, 43(7), 631-642.
[46]guo, y., liu, p., liang, q., & wang, w. (2016). effects of parallelogram-shaped pavement markings on vehicle speed and safety of pedestrian crosswalks on urban roads in china. accident analysis & prevention, 95, 438-447.
[47]郭延永, 刘攀, 徐铖铖, 吴瑶. 基于交通冲突模型的信号交叉口右转设施安全分析. 中国公路学报, 2016 28(11): 139-146.
[48]bai, l., liu, p., guo, y., & xu, c. (2015). understanding factors affecting frequency of traffic conflicts between electric bicycles and motorized vehicles at signalized intersections. transportation research record: journal of the transportation research board, (2514), 68-78.
[49]bai, l., liu, p., guo, y., & yu, h. (2015). comparative analysis of risky behaviors of electric bicycles at signalized intersections. traffic injury prevention, 16(4), 424-428.
[50]guo, y., liu, p., bai, l., xu, c., & chen, j. (2014). red light running behavior of electric bicycles at signalized intersections in china. transportation research record: journal of the transportation research board, (2468), 28-37.
[51]郭延永,刘攀, 吴瑶, 俞灏. 基于属性识别的高速公路交通安全设施系统评价. 东南大学学报（自然科学版）, 2013, 43(6): 1305-1311.
[52]郭延永, 刘攀, 吴瑶. 基于累计前景理论的城市轨道交通建设时序. 交通运输系统工程与信息, 2013, 13(4): 29-35.
