Real time decision support systems for mobile users in intelligent cities

Current user mobility is supported by GPS navigation systems mainly based on average traffic conditions, whereas we know that both mobility and logistics operations could be facilitated if mobile users may choose the path to destination and the loading and unloading circuits using navigators that take into account the current traffic and weather conditions. Also, personal data, such as health status and age, should be taken into account by this new generation of navigators to suggest proper mobility to users. For these reasons, the paper aims at proposing a real time decision support system (DSS) that helps mobile users to reach their destination taking into account both the main external conditions and personal constraints. In the paper we propose that such DSS operates at a semantic layer on the top of the proprietary applications so that its suggestions take into account all the city datasets, while proprietary applications may continue to carry out implementation dependent functionalities, such as communicating with mobiles, taking traffic measures, launching specific alerts. The paper not only shows how structuring such a semantic layer, but also illustrates how providing such location based services to the user mobiles using JQMobile and Flash Builder frameworks.