Authors:
Bill Karakostas
1
and
Takis Katsoulakos
2
Affiliations:
1
School of Informatics and City University, United Kingdom
;
2
Inlecom Ltd, United Kingdom
Keyword(s):
e-Freight, Transport co-modality, e-Collaboration, Cloud architecture.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Best Practices & Communities of Practice
;
Biomedical Engineering
;
Collaboration and e-Services
;
Communication, Collaboration and Information Sharing
;
Communities of Practice
;
Complex Systems Modeling and Simulation
;
Computer-Supported Education
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Learning/Teaching Methodologies and Assessment
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Simulation and Modeling
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
The term freight refers to goods transported using different transport modes (truck, rail, ship), while inter-modality refers to the ability for seamless transfer of freight and information across the different transport modes. Because of the nature of the freight business (large number of small players, geographical distribution, complex regulatory regime, multiple standards, and IT heterogeneity) we propose that cloud computing presents an ideal platform for e-collaboration in the inter-modal transport networks (e-freight). This paper identifies Cloud based collaboration scenarios in e-freight, proposes a Cloud architecture for
e-freight and analyses its business and technical benefits.