Variables Important for Freight Delivery and Context Data Usage

Aurelija Burinskiene ()
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Aurelija Burinskiene: Vilnius Gediminas Technical University

Chapter Chapter 6 in Development of Smart Context-Aware Services for Cargo Transportation, 2022, pp 119-140 from Springer

Abstract: Abstract For having actionable context, several primary variables, such as time and location, are important. Other variables, such as a trip distance, which is an indication between initial and final locations and the cargo position among them, are secondary ones. The delivery distance is a key variable, which is used for analysing alternatives, selecting the mode for freight delivery and discussing the service composition, which always responds to the customer’s choose between the lower price and faster delivery. When the mode of transport is selected, the economic cargo delivery volume can be identified. Finally the contextual information could be classified according to different objects (infrastructure, environment, delivery) in static or dynamic presence, which later on is captured by various devices and is used in different users’ applications.

Keywords: Time variable; Location variable; Distance variable; Mode variable; Economic delivery volume; Service variable; Covariance analysis; Context capturing devices; Users’ applications (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-031-07199-7_6

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