Jiahao Chen’s research while affiliated with Wuhan University of Technology and other places

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Publications (5)


Research of Methods of Collision Warning and Avoidance Assistant Decision Making for the Ship in Typical Inland TSS Waters
  • Article

June 2024

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24 Reads

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1 Citation

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering

Jiahao Chen

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Liwen Huang

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[...]

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The Analysis of Intelligent Functions Required for Inland Ships
  • Article
  • Full-text available

May 2024

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24 Reads

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3 Citations

Journal of Marine Science and Engineering

Sorting out the requirements for intelligent functions is the prerequisite and foundation of the top-level design for the development of intelligent ships. In light of the development of inland intelligent ships for 2030, 2035, and 2050, based on the analysis of the division of intelligent ship functional modules by international representative classification societies and relevant research institutions, eight necessary functional modules have been proposed: intelligent navigation, intelligent hull, intelligent engine room, intelligent energy efficiency management, intelligent cargo management, intelligent integration platform, remote control, and autonomous operation. Taking the technical realization of each functional module as the goal, this paper analyzes the status quo and development trend of related intelligent technologies and their feasibility and applicability when applied to each functional module. At the same time, it clarifies the composition of specific functional elements of each functional module, puts forward the stage goals of China’s inland intelligent ship development and the specific functional requirements of different modules under each stage, and provides reference for the Chinese government to subsequently formulate the top-level design development planning and implementation path of inland waterway intelligent ships.

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A real-time multi-ship collision avoidance decision-making system for autonomous ships considering ship motion uncertainty

January 2023

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50 Reads

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29 Citations

Ocean Engineering

Ship autonomous collision avoidance has attracted increasing attention in recent years. However, more attention is paid to the scenario in which the target ship keeps its course and speed. Less attention is paid to the development of a collision avoidance decision-making system under the uncertainty of the target ship's movement in a complex multi-ship encounter situation. Based on the idea of model predictive control (MPC), this paper proposes an autonomous ship collision avoidance decision-making system (CADMS) suitable for the uncertainty of ship motion. The CADMS includes four modules: collision risk analysis module, control and execution module, ship trajectory prediction module and collision avoidance decision-making model. The proposed model can be implemented in the collision avoidance decision-making system for safe navigation or it can be included in the ship autonomous navigation process. The decision-making model is achieved from a risk identification-motion prediction-ship control-scheme implementation perspective, and the dynamic and uncertainty features of the ship action (i.e., alter course or change speed) are considered in the modelling process. The real-time rolling update of ship collision avoidance decisions is realised based on the time series rolling method. Four scenarios are designed to demonstrate the collision avoidance decision-making system's performance. The results show that the proposed collision avoidance decision-making system is a reasonable and effective system for collision avoidance, particularly in multi-ship encounter situations of target ships suddenly altering course or change speed.


Settings of two-ship scenarios.
Settings of multi-ship scenarios.
A Novel Decision Support Methodology for Autonomous Collision Avoidance Based on Deduction of Manoeuvring Process

June 2022

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80 Reads

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18 Citations

Journal of Marine Science and Engineering

In the last few years, autonomous ships have attracted increasing attention in the maritime industry. Autonomous ships with an autonomous collision avoidance capability are the development trend for future ships. In this study, a ship manoeuvring process deduction-based dynamic adaptive autonomous collision avoidance decision support method for autonomous ships is presented. Firstly, the dynamic motion parameters of the own ship relative to the target ship are calculated by using the dynamic mathematical model. Then the fuzzy set theory is adopted to construct collision risk models, which combine the spatial collision risk index (SCRI) and time collision risk index (TCRI) in different encountered situations. After that, the ship movement model and fuzzy adaptive PID method are used to derive the ships’ manoeuvre motion process. On this basis, the feasible avoidance range and the optimal steering angle for ship collision avoidance are calculated by deducting the manoeuvring process and the modified velocity obstacle (VO) method. Moreover, to address the issue of resuming sailing after the ship collision avoidance is completed, the Line of Sight (LOS) guidance system is adopted to resume normal navigation for the own ship in this study. Finally, the dynamic adaptive autonomous collision avoidance model is developed by combining the ship movement model, the fuzzy adaptive PID control model, the modified VO method and the resume-sailing model. The results of the simulation show that the proposed methodology can effectively avoid collisions between the own ship and the moving TSs for situations involving two or multiple ships, and the own ship can resume its original route after collision avoidance is completed. Additionally, it is also proved that this method can be applied to complex situations with various encountered ships, and it exhibits excellent adaptability and effectiveness when encountering multiple objects and complex situations.

Citations (4)


... On one hand, ship electronic systems have long relied on specialized industry protocol standards [2]. Although these standards offer a high degree of standardization, the protocols are ill-suited to meet the connectivity requirements of modern, general-purpose intelligent devices [3]. During the process of ship digitization, intelligent systems need to integrate diverse data and functional modules. ...

Reference:

Redundant Path Optimization in Smart Ship Software-Defined Networking and Time-Sensitive Networking Networks: An Improved Double-Dueling-Deep-Q-Networks-Based Approach
The Analysis of Intelligent Functions Required for Inland Ships

Journal of Marine Science and Engineering

... Incorporating realtime environmental and operational data, such as wave, wind, currents, and maritime traffic, will be prioritized to improve prediction accuracy. Advanced ship maneuvering prediction models (Gil et al., 2024;Zhang et al., 2023a) can be further explored by employing hybrid deep learning techniques, enabling the generation of precise and safe maneuvering commands while accounting for complex multi-ship interactions under real-world operational conditions. The integration of these models is expected to yield a robust system capable of accurately predicting collision probabilities and damage consequences based on realistic ship encounter situations at sea (Montewka et al., 2010;Zhang et al., 2021a,b). ...

A real-time multi-ship collision avoidance decision-making system for autonomous ships considering ship motion uncertainty

Ocean Engineering

... This relationship likely corresponds to the cyclical rise and fall of temperatures across seasons, with SST peaking in summer and reaching lower levels in winter. Additionally, the moderate positive correlation between SST and SSH (0.42) may reflect a trend of rising sea surface height as temperatures increase, which could be partially attributed to thermal expansion effects [37]. When water temperature rises, ocean water volume expands, leading to an increase in sea surface height. ...

Dynamic adaptive autonomous navigation decision-making method in traffic separation scheme waters: A case study for Chengshanjiao waters
  • Citing Article
  • October 2023

Ocean Engineering

... The CRI is a crucial physical quantity that quantifies the urgency of avoiding collisions between ships, which is determined by various factors such as the relative velocity, bearing, and distance between the two ships (Zhang et al. 2022). The CRI serves as a valuable tool to assess collision urgency in different scenarios and contribute to determining priorities during multi-ship collision avoidance situations. ...

A Novel Decision Support Methodology for Autonomous Collision Avoidance Based on Deduction of Manoeuvring Process

Journal of Marine Science and Engineering