姓    名:陈鹏飞

性    别:男

出生年月:1992年05月

职称/职务:特岗教授/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50余篇，论文总被引用3000余次，其中多篇论文曾入选ESI高被引文章，曾获评斯坦福大学全球2%顶尖科学家。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武汉理工大学 航海技术 工学学士

2014.09-2017.06武汉理工大学 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:

2026.1- 至今 武汉理工大学 航运学院 特岗教授

2021.7 - 至今 武汉理工大学 航运学院 特任研究员

2020.8 - 2021.7 武汉理工大学 航运学院 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.

发表论文:

[1] Yuan Z, Mou J, Li M, et al. A data–mechanism fusion method for ships collision avoidance based on Probabilistic Velocity Obstacles[J]. Ocean Engineering, 2026, 361: 126140.

[2] Zhang X, Huang L, Huang S, et al. Constructing a Ship Collision Accident Dataset Using Template-Based Corpus and Named Entity Recognition[J]. Journal of Marine Science and Engineering, 2026, 14(9): 832.

[3] Xiao Y, Mou J, Yang Y, et al. Multi-objective optimisation of ship scheduling in port compound channel based on SA-MOAF framework[J]. Ocean Engineering, 2025, 342: 122834.

[4] Chen L, Ye Y, Chen P, et al. Angular MPC-Based Thrust Allocation Research for All-Electric Ships Considering Wake Flow Interaction[J]. IEEE Transactions on Transportation Electrification, 2025.

[5] Chen L, He J, Chen P, et al. Intelligent navigational decision-making for ships based on improved D∗ with dual ship domain[J]. Ocean Engineering, 2025, 339: 121955.

[6] Li Y, Yang F, Chen P, et al. Multi-ship Encounter Identification Using Community Detection of Complex Network[J]. TransNav, International Journal on Marine Navigation and Safety od Sea Transportation, 2025, 19(3): 887-892.

[7] Li Y, Guo S, Chen P, et al. A stacking-based ensemble learning model for intelligent ship trajectory interpolation[J]. Reliability Engineering & System Safety, 2025: 111615.

[8] Gil, M., Poczęta, K., Wróbel, K., Yang, Z., & Chen, P. (2025). Toward Using Fuzzy Grey Cognitive Maps in Manned and Autonomous Collision Avoidance at Sea. IEEE Journal of Oceanic Engineering.

[9] Wang Z, Chen P, Chen L, et al. Collaborative Collision Avoidance Approach for USVs Based on Multi-Agent Deep Reinforcement Learning[J]. IEEE Transactions on Intelligent Transportation Systems, 2025.

[10] Chen L, Qiu Q, Li M, et al. A stability-guaranteed model predictive control for autonomous surface vessel trajectory tracking based on lyapunov theory[J]. IEEE Transactions on Transportation Electrification, 2025.

[11] Chen L, Qiu Q, Li M, et al. A stability-guaranteed model predictive control for autonomous surface vessel trajectory tracking based on lyapunov theory[J]. IEEE Transactions on Transportation Electrification, 2025.

[12] Li M, Mou J, Chen P, et al. Ship autonomous collision avoidance decision from the perspective of navigation practice[J]. Ocean Engineering, 2024, 310: 118713.

[13] Cheng Z, Chen P*, Mou J, et al. Novel collision risk measurement method for multi-ship encounters via velocity obstacles and temporal proximity[J]. Ocean Engineering, 2024, 302: 117585.

[14] Zhang L, Chen P, Rong H, et al. A novel method for extracting near-misses from AIS data involving collision avoidance behaviour[J]. Ocean Engineering, 2024, 301: 117466.

[15] Zhang L, Chen P F, Luo Y, et al. Identifying collision avoidance behaviour in AIS data from a heavy traffic area[M]//Advances in Maritime Technology and Engineering. CRC Press, 2024: 175-183.

[16] Chen P*, Luo Y, Mou J, et al. Exploration of the state-of-the-art of maritime transport safety research: a bibliometric and visualised analysis[J]. The Journal of Navigation, 2024: 1-23.

[17] Chen P*, Yang, F., Chen L, et al. Regional ship behavior and trajectory prediction for maritime traffic management: A social generative adversarial network approach [J]. Ocean Engineering, 2024, 117186, doi: https://doi.org/10.1016/j.oceaneng.2024.117186.

[18] Shi X, Chen P*, Chen L, 2023. An Integrated Method for Ship Heading Control Using Motion Model Prediction and Fractional Order Proportion Integration Differentiation Controller[J]. Journal of Marine Science and Engineering, 11(12): 2294.

[19] 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.

[20] 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.

[21] 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

[22] 牟军敏,郭绍卿,张志江, 陈鹏飞（通信作者）等. 基于AIS数据的水域航路网络提取方法 [J]. 中国航海, 2023, 46 (02): 152-160. 

[23] 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.2021.108881.

[24] 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.

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

[26] 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.

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

[28] 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. 

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

[30] 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.

[31] 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.

[32] 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.

[33] 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.

[34] Tang Y, Chen L, Mou J, et al. Robust Model Predictive Control for Ship Collision Avoidance under Multiple Uncertainties[J]. IEEE Transactions on Transportation Electrification, 2024.

[35] Zhang J, Mou J, Chen L, et al. Cooperative model predictive control for ship formation tracking with communication delays[J]. Ocean Engineering, 2024, 291: 116272.

[36] 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-.

[37] 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.

[38] 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.

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

[40] 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.

[41] 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

[42] 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.

[43] 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.

[44] 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).

[45] 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.

[46] 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. (SSCI Indexed, JCR: Q1, IF: 3.655).

[47] 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.

[48] 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. (SCI Indexed, JCR: Q1, IF: 3.068).

[49] 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. https://doi.org/10.1007/s00773-020-00727-4 (SCI Indexed, JCR: Q1, IF:1.446).

[50] 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. (SCI Indexed, JCR: Q4, IF: 1.029).

[51] 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).

[52] Cheng Z, Chen P*, Mou J, et al. Multi-ship Encounter Situation Analysis with the Integration of Elliptical Ship Domains and Velocity Obstacles[J]. TransNav, International Journal on Marine Navigation and Safety od Sea Transportation, 2023, 17(4): 895-902.

[53] Dong Z, Chen L*, Chen P, et al. Model Predictive Control for Ship Path Tracking with Disturbances[C]//2023 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2023: 1487-1492.

[54] Wang Z, Chen P*, Mou J, et al. COLREGs-compliant autonomous collision avoidance method based on deep reinforcement learning for USVs[C]//2023 7th International Conference on Transportation Information and Safety (ICTIS). IEEE, 2023: 1575-1598.

[55] 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.

[56] 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]武汉理工大学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