Intelligent Agents For Supporting Driving Tasks: An Ontology-Based Alarms System

This paper presents a rule-based alarm system as part of an ADAS. This work is developed by using a multi-agent framework, and it focuses on the driving safety, in particular, in urban environments. The main point of the proposed system is that it takes decisions based on the fusion of the information from the driver, the vehicle status and the state of the road ahead, and it is designed to alert the driver of the car (without taking control of it) only when the system considers that it is necessary. Five dangerous scenarios are defined, analysed and studied, and a repository of rules is designed to help the driver in that situations. In order to represent the concepts and its relation about the urban traffic environment, the system uses an OWL Ontology based on a previous research and extended in this work.