A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction

A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction

The successful implementation of Vessel Traffic Services (VTS) relies heavily on human decisions. With the increasing development of maritime traffic, there is an urgent need to provide a sound support for dynamic risk appraisals and decision support. This research introduces a cellular automata (CA...

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Bibliographic Details
Main Authors: Yongfeng Suo, Zhihong Sun, Christophe Claramunt, Shenhua Yang, Zhibing Zhang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
cellular automata
risk appraisal
traffic simulation
traffic prediction
VTS
Online Access:https://www.mdpi.com/1424-8220/21/14/4741
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spelling doaj-32fca8c885294eb4b727bfdd577dcf632021-07-23T14:05:33ZengMDPI AGSensors1424-82202021-07-01214741474110.3390/s21144741A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation PredictionYongfeng Suo0Zhihong Sun1Christophe Claramunt2Shenhua Yang3Zhibing Zhang4Navigation College, Jimei University, Xiamen 361021, ChinaDepartment of Navigation, China Coast Guard Academy, Ningbo 315801, ChinaNaval Academy Research Institute, BP 600, 29240 Brest Naval, FranceNavigation College, Jimei University, Xiamen 361021, ChinaNavigation College, Jimei University, Xiamen 361021, ChinaThe successful implementation of Vessel Traffic Services (VTS) relies heavily on human decisions. With the increasing development of maritime traffic, there is an urgent need to provide a sound support for dynamic risk appraisals and decision support. This research introduces a cellular automata (CA) simulation-based modelling approach the objective of which is to analyze and evaluate real-time maritime traffic risks in port environments. The first component is the design of a CA model to monitor ships’ behavior and maritime fairway traffic. The second component is the refinement of the modelling approach by combining a cloud model with expert knowledge. The third component establishes a risk assessment model based on a fuzzy comprehensive evaluation. A typical scenario was experimentally implemented to validate the model’s efficiency and operationality.https://www.mdpi.com/1424-8220/21/14/4741cellular automatarisk appraisaltraffic simulationtraffic predictionVTS
collection DOAJ
language English
format Article
sources DOAJ
author Yongfeng Suo
Zhihong Sun
Christophe Claramunt
Shenhua Yang
Zhibing Zhang
spellingShingle Yongfeng Suo
Zhihong Sun
Christophe Claramunt
Shenhua Yang
Zhibing Zhang
A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
Sensors
cellular automata
risk appraisal
traffic simulation
traffic prediction
VTS
author_facet Yongfeng Suo
Zhihong Sun
Christophe Claramunt
Shenhua Yang
Zhibing Zhang
author_sort Yongfeng Suo
title A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
title_short A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
title_full A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
title_fullStr A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
title_full_unstemmed A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
title_sort dynamic risk appraisal model and its application in vts based on a cellular automata simulation prediction
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2021-07-01
description The successful implementation of Vessel Traffic Services (VTS) relies heavily on human decisions. With the increasing development of maritime traffic, there is an urgent need to provide a sound support for dynamic risk appraisals and decision support. This research introduces a cellular automata (CA) simulation-based modelling approach the objective of which is to analyze and evaluate real-time maritime traffic risks in port environments. The first component is the design of a CA model to monitor ships’ behavior and maritime fairway traffic. The second component is the refinement of the modelling approach by combining a cloud model with expert knowledge. The third component establishes a risk assessment model based on a fuzzy comprehensive evaluation. A typical scenario was experimentally implemented to validate the model’s efficiency and operationality.
topic cellular automata
risk appraisal
traffic simulation
traffic prediction
VTS
url https://www.mdpi.com/1424-8220/21/14/4741
work_keys_str_mv AT yongfengsuo adynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
AT zhihongsun adynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
AT christopheclaramunt adynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
AT shenhuayang adynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
AT zhibingzhang adynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
AT yongfengsuo dynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
AT zhihongsun dynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
AT christopheclaramunt dynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
AT shenhuayang dynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
AT zhibingzhang dynamicriskappraisalmodelanditsapplicationinvtsbasedonacellularautomatasimulationprediction
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