Dynamic Fuzzy Logic Model for Risk Assessment of Marine Crude Oil Transportation

Li, Yi–Zhou; Hu, Hao; Huang, Daozheng

doi:10.3141/2273-15

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Huang et al applied a fuzzy technique to assess the risk of maritime passages (18). Li et al improved the fuzzy logic model to satisfy the need to update changing hazard factors (19,20). However, with the normalization of databases and the accumulation of data, the DST can provide more reliable solutions in the field of data fusion.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Fusion of Maritime Incident Databases with Dempster–Shafer Theory

Huang

2014

Transportation Research Record: Journal of the Transportation R

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Although a huge amount of information is available in all kinds of marine safety databases, only a small part can be used directly. The disorganized information from different sources leads to a mixture of format and definition. In the work reported in this paper, the Dempster–Shafer theory (DST) of evidence was applied to combine evidence (i.e., a piece of information that supports a claim) from different sources. The method is regarded as a generalization of the Bayesian theory and can avoid two difficulties in classical probability theory: handling the conflicting information and assigning prior probabilities. The work of data fusion was demonstrated first by a decision fusion problem that involved the reconciliation of contradictory expert reports. The DST can provide a decision maker with a comprehensive result through the combination of different experts’ opinions. Second, fusion was conducted of two representative maritime incident databases: that of the Global Integrated Shipping Information System and that of the International Chamber of Commerce. Although the records in the databases had some defects (e.g., disorder, error, contradiction), the DST was able to work effectively and calculate an uncertainty interval of incident.

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Section: Literature Reviewmentioning

confidence: 99%

Data Fusion of Maritime Incident Databases with Dempster–Shafer Theory

Huang

2014

Transportation Research Record: Journal of the Transportation R

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“…These fuzzy sets can be used to evaluate binary situations such as yes/no, true/false, and those defined as linguistic variables (e.g., safer or riskier). Fuzzy rule-based algorithms have been widely used in transportation safety studies (19)(20)(21)(22).…”

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confidence: 99%

Internet-of-Things System to Protect Police Officers From Collisions While on Duty on the Roadway

Mohammadi

Park

Asgary

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Police officers on duty on the road for traffic stops, vehicle collisions, traffic direction, and so forth, are exposed to the risk of being hit or even killed by a passing vehicle. Very few studies have tried to develop a system that can warn pedestrians or police officers on duty on the road to take proactive evasive action. This study proposes an Internet-of-Things protection system for police officers on duty on the road. The development of the system envisaged involves three essential phases: 1. detection, 2. risk analysis, and 3. warning and communication. This study focused on the risk analysis phase. We applied a fuzzy rule-based algorithm that integrates four input indicators (lateral distance from police officer to traveled lane, magnitude of speeding, stopping sight distance, and direct distance) into a single estimate of the risk of a collision. The study used data from a real-world situation on Highway 416 in Ontario, Canada to demonstrate the application of the proposed model. The results clearly demonstrated that the proposed model could generate risk estimates that could be used to give timely warning of a possible collision risk to police officers at work on a road.

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Real-time assessment and prediction on maritime risk state on the Arctic Route

Zhang

Dai

2019

Maritime Policy & Management

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Dynamic Fuzzy Logic Model for Risk Assessment of Marine Crude Oil Transportation

Cited by 7 publications

References 9 publications

Data Fusion of Maritime Incident Databases with Dempster–Shafer Theory

Data Fusion of Maritime Incident Databases with Dempster–Shafer Theory

Internet-of-Things System to Protect Police Officers From Collisions While on Duty on the Roadway

Real-time assessment and prediction on maritime risk state on the Arctic Route

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