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AIDE D4.1.6 Final Activity Report PU Contract N. IST-1-507674-IP aspects of the framework, including specifically the driver’s behaviour prediction in dynamic and rapidly changing conditions. Starting from the review of the state of the art, a selection of the most suitable candidate DVE models had been performed (among 21 candidates), based on the requirements defined for the AIDE model DVE. In this context, together with WP1.2, WP1.1 contributed towards the AIDE objectives by developing a basic framework for understanding of the driver-vehicle-interaction and predicting behavioural effects of new in-vehicle technologies and nomadic systems. In particular, the models (or at least some parts of them) had been used by WP1.3 to implement and develop the simulation environment called SSDRIVE. Figure 5: Scheme describing the passage from DVE to SSDRIVE tools. Two types of DVE have been developed, for different goals: G_DVE (Global DVE): will support designers to predict the behaviour of the joint DVE system. It represents the theoretical generalization of the DVE model. E_DVE (Embedded DVE): it will be part of the computerized numerical simulation of the DVE (the SSDrive system). From the literature, the selected joint models for Global and Embedded DVE were: COCOM/ECOM (Contextual Control Model / Extended Control Model): a qualitative model for Driver-in-Control (DiC) based on the principles of cognitive systems engineering. IVIS DEMAND: In-Vehicle Information System Design Evaluation and Model of Attentional Demand. 08/10/2008 28 VTEC
AIDE D4.1.6 Final Activity Report PU Contract N. IST-1-507674-IP Figure 6: COCOM/ECOM (Contextual Control Model / Extended Control Model) Three sub-models constitute the DVE framework: the Driver Model, the Environment Model and the Vehicle Model. All in all, each one is characterised by some features, as illustrated below. Driver Model Environment Vehicle Tasks Parameters and fuzzy correlations Simple Model of Joint Cognitive System Road characteristics Presence of other vehicles Other vehicle, pedestrians, etc. Simple model ADAS and IVIS simple description The Driver Model, used in AIDE-SP1, is based on the well known and “classical” Information Processing System (IPS) paradigm, according to which, driver’s behaviour can be classified in normative 2 and descriptive 3 . Since the first condition does not reflect realistic behaviour, we focused on the second one, which reflects more the actual driver’s behaviour. The most suitable approach for representing driver behaviour during the performance of normative and descriptive activities is to apply a simple “Task Analysis”. The detail of accuracy of the analysis and description of the tasks, that are performed by the driver, defines also the granularity of the model and thus of the simulation. 8.1.2.2.2 Discussion and self assessment: results versus objectives and state-of-the-art All in all, it is possible to say that the main objectives of the WP1.1 have been fully addressed. The division of the DVE model in G_DVE and E_DVE has allowed on one side to constitute a more general framework with respect to the “state of the art”, and on the other side to provide a usable framework for the work carried out in WP1.3 about the DVE simulation. In particular, the most relevant results concern the five main parameters describing the Driver Model: Experience: accumulation of knowledge or skills that result from direct participation in the driving activity. 2 “Normative behavior” can be represented by a model where no motivational or adaptive behavior is taken into account 3 “Descriptive behavior” is modeled when motivational and adaptive issues are applied 08/10/2008 29 VTEC
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