Structure of Smart Service Provision System for Operative Management of Transportation

Dalė Dzemydienė ()
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Dalė Dzemydienė: Vilnius Gediminas Technical University

Chapter Chapter 4 in Development of Smart Context-Aware Services for Cargo Transportation, 2022, pp 61-84 from Springer

Abstract: Abstract The aim of this part of the research is to examine the system architecture required for Smart-SDS in freight transportation processes. Smart-SDS is designed to help prevent accidents, warn of other accidents or adverse situations on the road, and avoid traffic jams. The requirements for developing this type of system are related to the context recognition functionality. The infrastructure supporting such a system integrates networks, equipment to record the required data in data warehouses (DWs), analyse DWs, and requires AI methods to develop intelligent service performance algorithms. The system will be able to support multi-criteria solutions in the stages of operational transportation management processes. All system components will be able to work in compatibility and wireless style. Interoperability of multi-dimensional data warehouses (DWs) using cloud computing technology will be required. The services integrated into the system must be assessed in the light of their prioritization at various stages of transport. The system infrastructure will be able to monitor the transport process and enable the changing topology of transport networks and communication networks.

Keywords: Smart service delivery system; Ontology of freight transportation; Transmission of context data; Assessment algorithms (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-031-07199-7_4

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