NDLI: Logistics Management in a Mobile Environment: A Decision Support System Based on Trajectory Mining

Content Provider	IEEE Xplore Digital Library
Author	Costa, G. Manco, G. Ortale, R. Sacca, D. D'Atri, A. Za, S.
Copyright Year	2007
Description	Author affiliation: ICAR-CNR, Rende (Costa, G.; Manco, G.; Ortale, R.; Sacca, D.)
Abstract	Location prediction systems have become of interest in several application domains involving ubiquitous systems in the recent years. We propose a novel approach to trajectory prediction, that supports logistics optimization and decision making in a service area of a container terminal at a freight seaport. We devise a prototypical wireless infrastructure which collects historical trajectory data from the movements of containers. The approach consists in the application of a data mining technique for the development of the underlying location-aware prediction model that supports multiple representations and granularities both in space and in time. Also, we devise a path-prediction technique, capable of effectively taking into account inherent peculiarities of moving objects, such as a varying number of trajectories followed by each individual object and possible differences in the length of such trajectories.
Starting Page	34
Ending Page	34
File Size	318392
Page Count	1
File Format	PDF
ISBN	0769528074
DOI	10.1109/ICONS.2007.33
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Logistics Environmental management Decision support systems Trajectory Humans Containers Predictive models Availability Prototypes Data mining
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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