Various proprietary vehicular technologies have been integrated on commercial vehicles. Most of these assistance systems, however, are systems of perception, of alert or of very simple commands which are attached to one or two sensors only. There is not even a support with regards to information involving environmental context. There is not even use of the user profile and actual state of the driver. There is not even sharing of modalities (such as voice synthesis for example) because the products and software of each OEM (original equipment manufacturer) or designer are often closed to proprietary constraints. These are the weaknesses that our work would like to address. We take a traffic situation, consider the traffic rules, and consider the context of the driver, the car and the environment and provide guidance to the driver. Our aim is to provide assistance to prevent traffic accident. We begin with “Turn Left in an intersection” situation and progress forward. An architectural design has already been developed to cover all kinds of traffic conditions. Ontology is used to represent driving modelling and road environment. Our aim is to contribute to the body of knowledge in the domain of prevention of vehicular traffic accident.