An Intelligent Driver Assistance System (I-DAS) for Vehicle Safety Modelling using Ontology Approach

This paper proposes an ontology modelling approach for assisting vehicle drivers through safety warningmessages during time critical situation. Intelligent Driver Assistance System (I-DAS) is a majorcomponent of InVANET[12], which focuses on generating the alert messages based on the context awareparameters such as driving situations, vehicle dynamics, driver activity and environment.I-DAS manages the parameter representation, consistent update /maintenance in XML format while theinterpretation of a critical situation is done using ontology modeling. Related safety technologies such asAdaptive Cruise Control, Collision Avoidance System, Lane Departure Warning System, DriverDrowsiness detection system, Parking Assistance System, which generate warnings and alerts to drivercontinuously, for assistance according to context which is integrated in Vehicle and Vehicle 2 Driver(V2D) communications by DVI(Driver Vehicle Interface) had been applied.The simulation test bed developed using Java framework[21] to generate safety alerts in various drivingsituations shows the usefulness of this approach. The response time graph for the simulation of context IDASis depicted and analysed. The effective performance of the driving scenarios in various modes likeday and night for single, 2-way and 4-way road scenario for the best, worst and average cases ofsimulation had been studied. The system works in VANET scenario, which needs to be adaptive forenvironment changes and to vary according to the context. The presented approach shows the simulationthat can be implemented to all vehicles in real time scenario with promising results.