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Exploiting IoT and Big-Data for Building Multiservice Capable Intelligent Transportation Systems

All vehicles manufactured during the last decade are equipped with a variety of sensory instruments, providing their collected data through processing units (On Board Units) and customized interfaces (such as OBD-II). This makes a wealth of information available to different players making use of next generation Intelligent Transportation Systems (ITS). Such players obviously include the drivers but not alone, since the entire ecosystem includes fleet management services, highway traffic management systems, car manufacturers, public transportation systems and services etc. Combining the above sensor network technologies with technologies for connected cars and cloud computing applications a wide range of location-based services can be developed bringing a higher level of intelligence to next-generation transportation systems. In this paper we present the approach of the MANTIS project towards the above objectives. MANTIS aims at designing a comprehensive framework for the development of heterogeneous applications in intelligent transportation systems and at implementing and demonstrating driver assistance systems towards improvement of road transport. The MANTIS framework will exploit technologies of rapidly growing sensor and vehicular networks and will pursue their integration with Internet technologies and cloud applications.