INTEROPERABILITY ASSESSMENT IN CONTEXT-AWARE SYSTEMS FOR INTELLIGENT TRANSPORT MANAGEMENT

This paper aims to reveal evidence on how interoperability has been addressed in context-aware systems, presenting a set of characteristics that can support decision-making and evaluation of interoperability on such systems. Assuming that model-based interoperability refers to a collaboration of independently developed systems, we propose a hybrid approach to model contextual information that incorporates the management and communication benefits of traditional object-oriented context models. A model of such type has been designed to access and correlate distributed knowledge in the transportation domain. The context-aware model is part of a middleware architecture for integrating independent Intelligent Transport Systems (ITS) and pervasive transportation services. Using a distributed, tiered approach, this framework facilitates the sharing and collating of data. The performance evaluation was realized by analyzing data related to benefits, such as the time it takes to retrieve live data and the time it takes to reason over this data dynamically. Finally, in a Case Study, a solution for implementing Location-Based Services using model-based interoperability is presented.