Towards a Semantic Layer Design for an Advanced Intelligent Multimodal Transportation System
Jihane Larioui · International Journal of Advanced Trends in Computer Science and Engineering · 2020
Over time, intelligent transport systems (ITS) have shown their relevance and have become essential for good urban mobility management within smart cities.They facilitate traffic management and make flow more fluid and autonomous.Indeed, the data manipulated in the ITS is large and diversified which makes the information less exploitable and leads us to a considerable loss of time before obtaining the desired information.In order to manage these different sources of information, their semantic conflicts and ensure interoperability between all these sources involved in the multi-modal transport network, we decided to integrate all this information in a way that it is unified, flexible and understandable by all the agents of our multimodal information system.Thus, the objective of this semantic approach is to localize the different resources of the WEB, to standardize the description models so that they are usable by the different agents of the system.In this article, we propose a new approach for the development of an architecture based on Multi-Agent systems (SMA) coupled with semantic Web and this in order to help decision-making and improve the management in the context of urban mobility.The system to develop covers all modes of transport and capable of managing planned trips as well as answering questions related to safety during travel.