Abstract

The intelligent transportation services are part of the urban planning and smart concept which aims to improve the user experience and to deliver new ways with increased added value. To prototype these services or to enhance the legacy transportation services with the evolving technology, it is likely to create significant overheads during various phases of the service lifecycle, such as during the design phase. To effectively tackle the challenges that appear in such an endeavour, the selection of the optimal modelling method and of the appropriate language plays a crucial role in creating and enabling innovative and efficient transportation service operations. In this paper, the utilization of a business-oriented modelling approach is proposed for the modelling of the Decision Support System (DSS) that supports these services. Two scenarios are assessed considering the DSS behaviour of an IoT-based intelligent transportation service. Finally, this paper provides a discussion on the modelling method in regard to the DSS processes and how this method can be widely utilised for developing novel intelligent transportation services.

Full Text
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