Risk Assessment of Nautical Navigational Environment Based on Grey Fixed Weight Cluster

Tian, Yan; Sun, Xuecheng; Chen, Lijia; Huang, Liwen

doi:10.7307/ptt.v29i3.2238

Cited by 5 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Human error by vessel operators is the leading factor in tunnel safety problems and a significant obstacle to tunnel operation [13]. The previous risk assessment literature has shown that overspeed is the leading cause of tunnel safety accidents [47,48]. In addition, tunnel supervision capacity and emergency response capability are the key factors to ensure efficient tunnel operation [13].…”

Section: Handling Characteristicsmentioning

confidence: 99%

Navigational Safety Assessment of Ten-Thousand-Ton Vessels in Ship Tunnels by Ship Simulations

Zhang,

Cheng,

Deng

et al. 2023

Water

View full text Add to dashboard Cite

In implementing ship channels in mountainous rivers with complex topography, navigation safety has become paramount for facilitating efficient tunnel operations. The security of large vessels in tunnels has recently been the focus of a considerable amount of research in the inevitable trend of vessel upsizing. This study analyzes the characteristics of unpowered coasting distance for ten-thousand-ton bulk carriers through ship simulations. The study discovered a positive correlation between coasting length and variables including tunnel width, water depth, and sectional coefficient. Moreover, it explores the maneuvering characteristics throughout the tunnel traversal process. It proposes a vessel-following model based on car-following theory and defines different types of following distances to determine the transportation capacity of the tunnel. The research findings greatly enhance tunnel navigable safety and optimize ship tunnel operations.

show abstract

Section: Handling Characteristicsmentioning

confidence: 99%

Navigational Safety Assessment of Ten-Thousand-Ton Vessels in Ship Tunnels by Ship Simulations

Zhang,

Cheng,

Deng

et al. 2023

Water

View full text Add to dashboard Cite

show abstract

“…Gray clustering analysis, as an important clustering technique, has been widely used in many fields such as safety evaluation of civil aircraft [32], hazard assessment of drought disaster [33], waterlogging hazard evaluation [34], and nautical navigational environment risk evaluation [35]. It can consider the influence of multiple factors of the evaluation indicators and accurately reflect the road traffic safety status through a small number of indexes.…”

Section: Introductionmentioning

confidence: 99%

Risk Area Identification Model of Bus Bay Stops Based on Distribution of Conflicts

Ruan

Zhi

et al. 2021

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

Effective identification of the risk area of the bus bay stop is a prerequisite for the enhancement of traffic safety. This study proposes a method of identifying the risk area based on the distribution of traffic conflicts. Firstly, the traffic flow data of the bus stop is collected by drones and video recognition software, and the traffic flow characteristics of the bus stop are analyzed by the mathematical and statistical methods. Secondly, using the gray clustering evaluation theory, on the basis of the rasterization of the functional area of the bus bay stop, a risk level model based on the index system of conflict rate, conflict severity, and potential conflict risk is proposed. Finally, take a bus stop in Guangzhou as an example to verify the solution. The results show that the constructed model can effectively identify the risk areas of bus bay stops. The risk areas of the bus bay stops are concentrated in the middle and lower reaches of the bus stop, which proves that the impact of bus exiting the stop on the surrounding traffic is greater than the process of bus entering the stop; the traffic risk areas of lanes near the bus stop are concentrated, and the severity of conflicts is low. The traffic risk zone of the lane far away from the bus stop is widely distributed, and the severity of conflict is higher. The research results can provide a basis for the micro safety performance evaluation and safety optimization of bus bay stops, which has strong theoretical and practical significance.

show abstract

“…Pak et al used a fuzzy analytical hierarchy process to evaluate the importance of factors and rank the safety levels of targeted ports in Korea from a captain's perspective [11]. Tian et al developed a risk evaluation model for nautical navigational environment (NNEt) based on the grey fixed weight cluster method and applied the model to Qiongzhou Strait case [12]. Liu et al carried out safety assessment for inland waterway transportation with an extended fuzzy TOPSIS [13].…”

Section: Introductionmentioning

confidence: 99%

Risk Cloud Model for Evaluating Nautical Navigational Environments

Chen

Tian

2021

Mathematical Problems in Engineering

Self Cite

View full text Add to dashboard Cite

Uncertainty makes the risk evaluation of complex water transportation systems (WTSs) a difficult task. To achieve reasonable results while accounting for uncertainty, the risk evaluation of nautical navigational environments (NNEts) is often based on classical cloud model theory. This study proposes the concept of a risk cloud model (RCM) for NNEt evaluation and uses a fuzzy statistics-based computational approach to obtain the RCM parameters. As a case study, the proposed RCM method was applied to the risk evaluation of the Qiongzhou Strait. The performance of the proposed method was compared to those of a fuzzy theory-based method and an earlier proposed simplified algorithm. The results of the case study demonstrated the effectiveness of the proposed method along with several key advantages. First, the method could deal with uncertainty, take advantage of multichannel information, and evaluate risk features. Second, the RCM droplets intuitively displayed the qualitative and quantitative characteristics of risk levels, which facilitated understanding and analysis. Third, it showed a good sensitivity to ensure the refinement of evaluation results. The proposed method offered an improved approach to NNEt risk evaluation under uncertain conditions.

show abstract

Risk Assessment of Nautical Navigational Environment Based on Grey Fixed Weight Cluster

Cited by 5 publications

References 25 publications

Navigational Safety Assessment of Ten-Thousand-Ton Vessels in Ship Tunnels by Ship Simulations

Navigational Safety Assessment of Ten-Thousand-Ton Vessels in Ship Tunnels by Ship Simulations

Risk Area Identification Model of Bus Bay Stops Based on Distribution of Conflicts

Risk Cloud Model for Evaluating Nautical Navigational Environments

Contact Info

Product

Resources

About