Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386996813> ?p ?o ?g. }
- W4386996813 endingPage "4674" @default.
- W4386996813 startingPage "4674" @default.
- W4386996813 abstract "A rising volume of vessel traffic increases navigation density, which leads to an increasing risk of vessel collisions in navigation channels. Navigation safety issues have been widely studied with the aim of reducing such collisions. Intelligent navigation channels, which involve deploying remote-sensing radars on buoys, are an effective method of tackling vessel collisions. This paper investigates the problem of radar deployment in navigation channels, aiming to expand the radar coverage area and effectively detect vessel locations. A mixed-integer linear programming model is formulated to determine the optimal deployment of radars in navigation channels under a given budget, where radars with different coverage radii and different types of buoys are introduced. Then, sensitivity analyses involving the impacts of budgets, the coverage radii of the radars, the distance between adjacent discrete locations, and the distribution of the existing buoys on the radar deployment plan are conducted. The computational results indicate that the coverage ratio of the navigation channel can be improved by reasonably deploying the different types of radars on the existing and new buoys under a given budget." @default.
- W4386996813 created "2023-09-25" @default.
- W4386996813 creator A5001683282 @default.
- W4386996813 creator A5003903873 @default.
- W4386996813 creator A5017384752 @default.
- W4386996813 creator A5019077325 @default.
- W4386996813 creator A5054037584 @default.
- W4386996813 creator A5070050188 @default.
- W4386996813 date "2023-09-23" @default.
- W4386996813 modified "2023-09-27" @default.
- W4386996813 title "Deployment of Remote Sensing Technologies for Effective Traffic Monitoring" @default.
- W4386996813 cites W1550359084 @default.
- W4386996813 cites W1906409805 @default.
- W4386996813 cites W2136001953 @default.
- W4386996813 cites W2143502281 @default.
- W4386996813 cites W2292115204 @default.
- W4386996813 cites W2489678637 @default.
- W4386996813 cites W2540139467 @default.
- W4386996813 cites W2568098953 @default.
- W4386996813 cites W2591498739 @default.
- W4386996813 cites W2606125584 @default.
- W4386996813 cites W2760918812 @default.
- W4386996813 cites W2793999624 @default.
- W4386996813 cites W2891392558 @default.
- W4386996813 cites W2911541802 @default.
- W4386996813 cites W2937331235 @default.
- W4386996813 cites W2973963337 @default.
- W4386996813 cites W2982932271 @default.
- W4386996813 cites W3001138495 @default.
- W4386996813 cites W3004989006 @default.
- W4386996813 cites W3016826582 @default.
- W4386996813 cites W3017831497 @default.
- W4386996813 cites W3039361266 @default.
- W4386996813 cites W3086513362 @default.
- W4386996813 cites W3118335428 @default.
- W4386996813 cites W3119089719 @default.
- W4386996813 cites W3127969803 @default.
- W4386996813 cites W3128836825 @default.
- W4386996813 cites W3134125118 @default.
- W4386996813 cites W3160638375 @default.
- W4386996813 cites W3200936394 @default.
- W4386996813 cites W3204095877 @default.
- W4386996813 cites W3205482641 @default.
- W4386996813 cites W3205968343 @default.
- W4386996813 cites W3206815070 @default.
- W4386996813 cites W4200470522 @default.
- W4386996813 cites W4210447633 @default.
- W4386996813 cites W4221125177 @default.
- W4386996813 cites W4281789649 @default.
- W4386996813 cites W4285343681 @default.
- W4386996813 cites W4309027085 @default.
- W4386996813 cites W4317754293 @default.
- W4386996813 cites W4318309718 @default.
- W4386996813 cites W4319170493 @default.
- W4386996813 cites W4321767463 @default.
- W4386996813 cites W4376273568 @default.
- W4386996813 cites W4376505061 @default.
- W4386996813 cites W4376631630 @default.
- W4386996813 doi "https://doi.org/10.3390/rs15194674" @default.
- W4386996813 hasPublicationYear "2023" @default.
- W4386996813 type Work @default.
- W4386996813 citedByCount "0" @default.
- W4386996813 crossrefType "journal-article" @default.
- W4386996813 hasAuthorship W4386996813A5001683282 @default.
- W4386996813 hasAuthorship W4386996813A5003903873 @default.
- W4386996813 hasAuthorship W4386996813A5017384752 @default.
- W4386996813 hasAuthorship W4386996813A5019077325 @default.
- W4386996813 hasAuthorship W4386996813A5054037584 @default.
- W4386996813 hasAuthorship W4386996813A5070050188 @default.
- W4386996813 hasBestOaLocation W43869968131 @default.
- W4386996813 hasConcept C105339364 @default.
- W4386996813 hasConcept C111919701 @default.
- W4386996813 hasConcept C127162648 @default.
- W4386996813 hasConcept C127313418 @default.
- W4386996813 hasConcept C39432304 @default.
- W4386996813 hasConcept C41008148 @default.
- W4386996813 hasConcept C554190296 @default.
- W4386996813 hasConcept C62649853 @default.
- W4386996813 hasConcept C76155785 @default.
- W4386996813 hasConcept C79403827 @default.
- W4386996813 hasConceptScore W4386996813C105339364 @default.
- W4386996813 hasConceptScore W4386996813C111919701 @default.
- W4386996813 hasConceptScore W4386996813C127162648 @default.
- W4386996813 hasConceptScore W4386996813C127313418 @default.
- W4386996813 hasConceptScore W4386996813C39432304 @default.
- W4386996813 hasConceptScore W4386996813C41008148 @default.
- W4386996813 hasConceptScore W4386996813C554190296 @default.
- W4386996813 hasConceptScore W4386996813C62649853 @default.
- W4386996813 hasConceptScore W4386996813C76155785 @default.
- W4386996813 hasConceptScore W4386996813C79403827 @default.
- W4386996813 hasIssue "19" @default.
- W4386996813 hasLocation W43869968131 @default.
- W4386996813 hasOpenAccess W4386996813 @default.
- W4386996813 hasPrimaryLocation W43869968131 @default.
- W4386996813 hasRelatedWork W1969481115 @default.
- W4386996813 hasRelatedWork W2021850411 @default.
- W4386996813 hasRelatedWork W2355024367 @default.
- W4386996813 hasRelatedWork W2364719424 @default.