姓    名:陈鹏飞

性    别:男

出生年月:1992年05月

职称/职务:特任研究员/硕士研究生导师

学位/学历:博士/博士研究生

邮    箱:Chenpfwhut.edu.cn

湖北省楚天学子，武汉市“武汉英才”优秀青年人才，主持国家自然科学基金1项。以第一作者/通讯作者发表论文30余篇，其中SCI论文20余篇，论文总被引用近千次，其中多篇论文曾入选ESI高被引文章。参编教材/专著1部。获得中国航海学会科学技术进步二等奖2项。担任中国交通运输协会青年科技工作者工作委员会委员，《交通运输工程学报》青年编委，Journal of Marine Science and Engineering客座编辑。

教育经历:

2010.09-2014.06金沙39159游艺场官网 航海技术 工学学士

2014.09-2017.06金沙39159游艺场官网 交通信息工程及控制 工学硕士

2016.10–2020.6代尔夫特理工大学 安全科学与技术(水上交通风险分析与管理方向) 博士

工作经历:

2021.7 - 至今 金沙39159游艺场官网 金沙39159游艺场官网 特任研究员

2020.8 - 2021.7 金沙39159游艺场官网 金沙39159游艺场官网 讲师

研究方向:

交通环境与安全保障，海事大数据与应用，船舶碰撞风险分析，智能航行与路径规划

主要课程:

本科生:航海英语听力与会话、航海英语阅读与写作

研究生:船舶安全与可靠性理论

主要学术成果:

学术奖励:

[1]陈鹏飞(1/1);湖北省有关人才,湖北省教育厅, CT学子, 2022

[2]陈鹏飞(1/1);“武汉英才”优秀青年人才,中共武汉市委, 2021

[3]陈鹏飞(2/10)，内河船舶航行风险主动预警与辅助决策关键技术与应用，中国航海学会科技进步二等奖, 2022.

[4]陈鹏飞(8/10)，基于700M 5G的智能航保关键技术及应用,中国航海学会科技进步二等奖, 2022.

期刊论文:

[1] Zhang Y, Chen P*, Chen L, et al. A path planning method for the autonomous ship in restricted bridge area based on anisotropic fast marching algorithm[J]. Ocean Engineering, 2023, 269: 113546.

[2] Li M, Mou J, Chen P*, et al. Real-time collision risk based safety management for vessel traffic in busy ports and waterways[J]. Ocean & Coastal Management, 2023, 234: 106471.

[3] Li M., Mou J., Chen P.*, Rong H., Chen L., van Gelder P.H.A.J.M., Towards Real-time Ship Collision Risk Analysis: An Improved R-TCR model Considering Target Ship Motion Uncertainty, Reliability Engineering and System Safety (2022), doi: https://doi.org/10.1016/j.ress.2022.10865

[4]牟军敏，郭绍卿，张志江，陈鹏飞(通信作者)，陈琳瑛.基于AIS数据的水域航路网络提取方法[J],中国航海, 2022. (已接收).

[5] Li, M.; Mou, J.; Chen, L.; Huang, Y.; Chen, P*. Comparison between the collision avoidance decision-making in theoretical research and navigation practices. Ocean Engineering 2021, doi:10.1016/j.oceaneng.2021.10888.

[6] Li, M., Mou, J., He, Y., Zhang, X., Xie, Q., Chen, P*. Dynamic Trajectory Planning for Unmanned Ship under Multi-object Environment. Journal of Marine Science and Technology 2021.

[7] Guo, S., Mou, J., Chen, L., Chen, P*. Improved Kinematic Interpolation for AIS Trajectory Reconstruction. Ocean Engineering 2021.

[8] Guo, S., Mou, J., Chen, L., Chen, P*. An Anomaly Detection Method for AIS Trajectory Based on Kinematic Interpolation. Journal of Marine Science and Engineering 2021.

[9] Wang, L., Chen, P.*, Chen, L., Mou, J. Ship AIS Trajectory Clustering: an HDBSCAN-based Approach. Journal of Marine Science and Engineering 2021.

[10] Chen, P.; Li, M.*; Mou, J. A Velocity Obstacle-Based Real-Time Regional Ship Collision Risk Analysis Method. Journal of Marine Science and Engineering 2021, 9, doi:10.3390/jmse9040428.

[11] Chen P*, Huang Y, Mou J, et al. Ship collision candidate detection method: A velocity obstacle approach[J]. Ocean Engineering, 2018, 170: 186-198.

[12] Chen P*, Huang Y, Mou J, et al. Probabilistic risk analysis for ship-ship collision: State-of-the-art[J]. Safety Science, 2019, 117: 108-122.

[13] Chen P*, Mou J, van Gelder P.H.A.J.M. Integration of Individual Encounter Information into Causation Probability Modelling of Ship Collision Accidents[J]. Safety Science, 2019, 120: 636-651.

[14] Chen P*, Huang Y, Papadimitriou E, Mou J, van Gelder P.H.A.J.M. An Improved Time Discretized Non-linear Velocity Obstacle Method for Multi-ship Encounter Detection[J]. Ocean Engineering, 2020, 196: 106718.

[15] Chen P*, Huang Y, Papadimitriou E, Mou J, van Gelder P.H.A.J.M. Global Path Planning for Autonomous Ship: A Hybrid Approach of Fast Marching Square and Velocity Obstacles Methods[J]. Ocean Engineering，2020, 214: 107793.

[16] He, Y. , Mou, J. , Chen, L. , Zeng, Q. , Huang, Y. , Chen, P. , et al. (2022). Will sailing in formation reduce energy consumption? numerical prediction of resistance for ships in different formation configurations. Applied Energy, 312, 118695-.

[17] He, Y., Mou, J., Chen, L*., Zeng, Q., Chen, P., & Zhang, S. Survey on hydrodynamic effects on cooperative control of Maritime Autonomous Surface Ships[J]. Ocean Engineering, 2021, 235: 109300.

[18] Mou J, Jia X, Chen P., & Chen L*. Research on Operation Safety of Offshore Wind Farms[J]. Journal of Marine Science and Engineering, 2021, 9(8): 881.

[19] Mou, J., Hu, T., Chen, P., & Chen, L*. Cooperative MASS path planning for marine man overboard search[J]. Ocean Engineering, 2021, 235: 109376.

[20] Zhang, L., Mou, J., Chen, P., & Li, M*. Path planning for autonomous ships: A hybrid approach based on improved apf and modified vo methods[J]. Journal of Marine Science and Engineering, 2021, 9(7): 761.

[21] Gao, X., Chen, L., Chen, P., Luo, Y., & Mou, J. (2020). Capacity Analysis for Approach Channels Shared by LNG Carriers. Journal of Marine Science and Engineering, 8(9). doi:10.3390/jmse8090697

[22] Huang, Y. , Chen, L. , Chen, P. , Negenborn, R. R. , & P.H.A.J.M. Van Gelder. (2020). Ship collision avoidance methods: state-of-the-art. Safety Science, 121, 451-473.

[23] Chen P*, Mou J., van Gelder P.H.A.J.M. Integration of Elliptical Ship Domains and Velocity Obstacles for Ship Collision Candidate Detection. 2019, TransNav,10, 633-40.

[24]牟军敏,陈鹏飞,贺益雄,等.船舶AIS轨迹快速自适应谱聚类算法[J].哈尔滨工程大学学报, 2018, 39(3): 428-432. (EI indexed).

[25] Li, M. , Mou, J. , Liu, R. R. , Chen, P. , & Dong, Z. (2019). Relational model of accidents and vessel traffic using ais data and gis: a case study of the western port of shenzhen city. Journal of Marine Science and Engineering, 7(6), 163.

[26] Mou J M, Chen P F, He Y X, et al. Vessel traffic safety in busy waterways: A case study of accidents in western shenzhen port[J]. Accident Analysis & Prevention, 2019, 123: 461-468.

[27] Chen P*, Mou J, Li Y. Risk analysis of maritime accidents in an estuary: a case study of Shenzhen Waters[J]. Scientific Journals of the Maritime University of Szczecin, 2015 (42 (114)): 54--62.

[28] He Y, Jin Y, Huang L, Xiong, Y., Chen P, & Mou, J. Quantitative analysis of COLREG rules and seamanship for autonomous collision avoidance at open sea[J]. Ocean Engineering, 2017, 140: 281-291.

[29] Mou J, Li M, Hu W, Zhang X, Gong S, Chen P, He Y. The Dynamic Automatic Collision Avoidance Mechanism in Multi-ships Encounter Situation[J]. Journal of Marine Science and Technology, 2020.

[30] Zhang X, Mou J, Zhu J, Chen, P, & Liu, R. Capacity Analysis for Bifurcated Estuaries Based on Ship Domain Theory and Its Applications[J]. Transportation Research Record, 2017, 2611(1): 56-64.

[31] Yao X, Mou J, Chen P, et al. Ship emission inventories in estuary of the Yangtze River using terrestrial AIS data[J]. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 2016, 10(4).

会议论文

[1] Chen, P, Mou, J., van Gelder, P.H.A.J.M. Risk assessment methods for ship collision in estuarine waters using ais and historical accident data[C]. 17th International Congress of the International Maritime Association of the Mediterranean, IMAM 2017; Lisbon; Portugal, 2017.

[2] Li, M., Mou, J., He, Y., Ning, F., Xiong, Y., Chen, P, Dynamic risk assessment for nautical traffic[C]. 17th International Congress of the International Maritime Association of the Mediterranean, IMAM 2017; Lisbon; Portugal, 2017.

科研项目:

[1]国家自然科学基金青年基金， “基于速度空间的多船碰撞风险辨识方法”(52101402)，(2022-2024，主持).

[2]交通运输部东海航海保障中心重点科技项目“面向宁波舟山港重点涉水工程智能航保关键技术研究”，(2021.1-2021.12，主持).

[3]金沙39159游艺场官网青年教师自主创新基金 “水域船舶碰撞风险在线辨识”,(2021.1-2021.10,主持)

[4]江苏省交通运输科技厅重大专项 “危险货物水上运输安全风险智能识别与预警关键技术研究”(2018-2021,参与)

[5]国家海洋环境保障技术研究与应用示范重点专项 “BJHD*”(2016-2020,参与)

[6]国家自然科学基金面上项目“基于AIS数据的内河及河口航段船舶行为实时预测与风险预警研究”(51579201)，(2016-2019，参与).

发明专利:

[1]陈鹏飞，张梁，牟军敏，陈琳瑛，程昭熙，一种桥区水域船舶碰撞风险检测方法和装置，2022，ZL202210630119.1

[2]牟军敏，陈鹏飞，陈琳瑛，郭绍卿，王链珲，一种基于海事大数据的船舶导航路径规划方法及系统，2022，ZL202210355128.4