{"id":{"repo_id":"london-metro","oai_identifier":"oai:repository.londonmet.ac.uk:3212"},"canonical_url":"https://search.dev.ndltd.org/etd/london-metro/oai:repository.londonmet.ac.uk:3212","repository":{"repo_id":"london-metro","name":"London Metropolitan University","base_url":"https://repository.londonmet.ac.uk/cgi/oai2"},"display":{"title":"Collision avoidance at sea and on a marine radar simulator using automatic encounter detection techniques","abstract":"Considerable interest has recently been shown in the field of marine traffic engineering. Real life data sources made available for maritime studies are often expensive and inconvenient to collect. The marine radar simulator presents the researcher with a relatively inexpensive and readily available source of navlgatlonal data. With the improvement of remote vessel traffic monitoring systems the potential for inexpensive real life data analysis Is enhanced. The work of this study has been to allow the analysis of data archived from the Channel Navigation Information Service Automatic Data Processing system (CNIS AOP) installed at St. Margarets Bay Dover using contemporary digital computer graphical facilities, and to compare mariners' behaviour In a real life and simulator collision avoidance situation. For this comparison certain navigational situations known as encounters have been automatically detected using an extension of the Range to Domain Over Range Rate (RDRR) method (Colley et al 1983), referred to as the RDRR+ technique. A statistical comparison has been completed using non parametric techniques.","abstract_html":"Considerable interest has recently been shown in the field of marine traffic engineering. Real life data sources made available for maritime studies are often expensive and inconvenient to collect. The marine radar simulator presents the researcher with a relatively inexpensive and readily available source of navlgatlonal data. With the improvement of remote vessel traffic monitoring systems the potential for inexpensive real life data analysis Is enhanced. The work of this study has been to allow the analysis of data archived from the Channel Navigation Information Service Automatic Data Processing system (CNIS AOP) installed at St. Margarets Bay Dover using contemporary digital computer graphical facilities, and to compare mariners' behaviour In a real life and simulator collision avoidance situation. For this comparison certain navigational situations known as encounters have been automatically detected using an extension of the Range to Domain Over Range Rate (RDRR) method (Colley et al 1983), referred to as the RDRR+ technique. A statistical comparison has been completed using non parametric techniques.","abstract_has_math":false,"creators":["Konyn, Mark"],"institution":"Polytechnic of North London","degree_name":"phd","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1986,"date_issued":"1986-11","date_published":"1986-11","updated_at":"2026-07-24T02:54:30Z","subjects":["620 Engineering & allied operations"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.grantnumber","label":"Dc Identifier Grantnumber","values":["N/A"],"render_values":[{"text":"N/A","href":null,"code":true}]}]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.sponsor","label":"Sponsor","values":["London Metropolitan University"]},{"key":"dc:creator","label":"Author","values":["Konyn, Mark"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["1986-11"]},{"key":"dc:date.issued","label":"Date","values":["1986-11"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Guildhall School of Business and Law (GSBL)","Department of Electronic and Communications Engineering and Applied Physics"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["Polytechnic of North London"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://repository.londonmet.ac.uk/3212/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["phd"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["620 Engineering & allied operations"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.grantnumber","label":"Dc Identifier Grantnumber","values":["N/A"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://repository.londonmet.ac.uk/3212/1/375091.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Considerable interest has recently been shown in the field of marine traffic engineering. Real life data sources made available for maritime studies are often expensive and inconvenient to collect. The marine radar simulator presents the researcher with a relatively inexpensive and readily available source of navlgatlonal data. With the improvement of remote vessel traffic monitoring systems the potential for inexpensive real life data analysis Is enhanced. The work of this study has been to allow the analysis of data archived from the Channel Navigation Information Service Automatic Data Processing system (CNIS AOP) installed at St. Margarets Bay Dover using contemporary digital computer graphical facilities, and to compare mariners' behaviour In a real life and simulator collision avoidance situation. For this comparison certain navigational situations known as encounters have been automatically detected using an extension of the Range to Domain Over Range Rate (RDRR) method (Colley et al 1983), referred to as the RDRR+ technique. A statistical comparison has been completed using non parametric techniques."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Collision avoidance at sea and on a marine radar simulator using automatic encounter detection techniques"]}]}],"canonical_facts":{"dc:contributor.sponsor":["London Metropolitan University"],"dc:creator":["Konyn, Mark"],"dc:date":["1986-11"],"dc:date.issued":["1986-11"],"dc:description.abstract":["Considerable interest has recently been shown in the field of marine traffic engineering. Real life data sources made available for maritime studies are often expensive and inconvenient to collect. The marine radar simulator presents the researcher with a relatively inexpensive and readily available source of navlgatlonal data. With the improvement of remote vessel traffic monitoring systems the potential for inexpensive real life data analysis Is enhanced. The work of this study has been to allow the analysis of data archived from the Channel Navigation Information Service Automatic Data Processing system (CNIS AOP) installed at St. Margarets Bay Dover using contemporary digital computer graphical facilities, and to compare mariners' behaviour In a real life and simulator collision avoidance situation. For this comparison certain navigational situations known as encounters have been automatically detected using an extension of the Range to Domain Over Range Rate (RDRR) method (Colley et al 1983), referred to as the RDRR+ technique. A statistical comparison has been completed using non parametric techniques."],"dc:format":["text"],"dc:identifier.grantnumber":["N/A"],"dc:identifier.uri":["https://repository.londonmet.ac.uk/3212/1/375091.pdf"],"dc:publisher.department":["Guildhall School of Business and Law (GSBL)","Department of Electronic and Communications Engineering and Applied Physics"],"dc:publisher.institution":["Polytechnic of North London"],"dc:relation.isreferencedby":["https://repository.londonmet.ac.uk/3212/"],"dc:subject":["620 Engineering & allied operations"],"dc:title":["Collision avoidance at sea and on a marine radar simulator using automatic encounter detection techniques"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["doctoral"],"dc:type.qualificationname":["phd"]},"updated_at":"2026-07-24T02:54:30Z"}