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- W4385281680 abstract "Proactive service is a kind of service that can be automatically provided based on logical judgment without human intervention. The traditional approach to evaluating proactive services involves conducting quantitative analyses through public datasets. However, this method can only evaluate the effectiveness of the specific algorithms and has limitations in evaluating the effectiveness of real-world applications as a whole. Determining a more appropriate evaluation approach for proactive services is a challenging problem. To address this issue, this paper proposes a method to evaluate the effectiveness of proactive services from a simulation perspective with a case of LNG (Liquefied Natural Gas) shipping as an example. Using the multi-agent simulation method, we design and implement a simulation model for LNG ships navigating at sea while avoiding dangerous areas by AnyLogic, which is capable of interacting with the deep learning model for predicting ships’ locations. Our simulation model also defines a set of metrics for evaluating the effectiveness of proactive services in the application case. We present a simulation demonstration on evading dangerous areas for LNG ships and conduct simulation experiments. The experimental results show that the simulation model can serve as an effective evaluation method for proactive services. Additionally, the simulation model can also be used to analyze differences in the application effects of proactive services implemented under different prediction algorithms." @default.
- W4385281680 created "2023-07-27" @default.
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- W4385281680 date "2023-01-01" @default.
- W4385281680 modified "2023-10-16" @default.
- W4385281680 title "A Simulation Model for Proactive Services: A Case Study on Evading Dangerous Areas for LNG Ships" @default.
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- W4385281680 doi "https://doi.org/10.1007/978-981-99-4402-6_31" @default.
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