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• W2022771018 abstract "In order to effectively manage and deploy internal tractors in a portcontainer marine terminal, real-time information concerning the location ofthe tractors is required so that timely scheduling and planning of tractorscontrol and dispatching can be derived. This paper propose a wireless sensornetwork-based Truck Flow Management System (TFMS) to help tracking thereal-time location of internal tractors in a container terminal so as tostreamline the management of the terminal operation. Focusing on thereal-time localization, the semi-definite programming (SDP) based approachesare employed by introducing the terminal context information, includingprior known road constraints and available time-serial data recorded in thenetwork, into the traditional SDP formulation. Experimental results arepresented to show that the proposed formulation and treatments to theproblem can greatly decrease the estimated errors compared to thetraditional formulation." @default.
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• W2022771018 date "2013-01-01" @default.
• W2022771018 modified "2023-10-04" @default.
• W2022771018 title "Semi-definite programming based approaches for real-time tractor localization in port container terminals" @default.
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• W2022771018 doi "https://doi.org/10.3934/naco.2013.3.665" @default.
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