Research Article
A Capability – Driven modelling approach applied in smart transportation & management systems for large scale events
@ARTICLE{10.4108/eai.31-8-2017.153051, author={G. Bravos and P. Loucopoulos and G. Dimitrakopoulos and D. Anagnostopoulos and V. A. Kiousi}, title={A Capability -- Driven modelling approach applied in smart transportation \& management systems for large scale events}, journal={EAI Endorsed Transactions on Internet of Things}, volume={3}, number={9}, publisher={EAI}, journal_a={IOT}, year={2017}, month={1}, keywords={Smart cities, smart city operations, mobility, capability-driven approach, enterprise modelling.}, doi={10.4108/eai.31-8-2017.153051} }- G. Bravos
P. Loucopoulos
G. Dimitrakopoulos
D. Anagnostopoulos
V. A. Kiousi
Year: 2017
A Capability – Driven modelling approach applied in smart transportation & management systems for large scale events
IOT
EAI
DOI: 10.4108/eai.31-8-2017.153051
Abstract
Economic growth in Europe has been, strongly associated with urbanization, overwhelming cities with vehicles. This renders mobility inside cities problematic, since it is often associated with large waste of time in traffic congestions, environmental pollution and accidents. Cities struggle to invent and deploy “smart” solutions in the domain of urban mobility, so as to offer innovative services to citizens and visitors and improve the overall quality of life. At the same time, organisation of large-scale events impose even more challenges and difficulties in the provision of such services. In this context, the paper discusses on the basic challenges that cities face especially in cases of large scale events, and proposes a capability – driven enterprise modelling approach towards enabling Smart Objects for Smart City Operations (SCO). It presents specific examples of deploying this approach in smart traffic management and smart spectators’ management in large scale events. Moreover, a process towards linking capability models to simulation ones is presented, trying to set the basis for effective SCO based on Smart Objects deployment.
Copyright © 2017 G. Bravos et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
