Emerging in-vehicle systems have turned the contemporary car into a human-computer interaction context that has its own set of rules and challenges. Interacting with in-vehicle systems while driving a car can greatly affect the driving performance and have been shown to be the cause of many road accidents. Evaluation of in-vehicle systems is a subject of much interest to developers and research...

Intelligent vehicle platoon driving is a process of the flexible formation based on the coordination between vehicle and highway in the intelligent vehicle-highway system, which can increase the controllability of traffic, simplify the complexity of traffic control, and ease the traffic pressure. It has been constructed that the intelligent vehicle platoon driving simulation experiment system u...

Biofeedback tools generally use visualizations to display physiological information to the user. As such, these tools are incompatible with visually demanding tasks such as driving. While auditory or haptic biofeedback may be used in these cases, the additional sensory channels can increase workload or act as a nuisance to the user. A number of studies, however, have shown that music can improv...

This paper presents the driver model developed by INRETS in the ISiPADAS project, with the aim to dynamically simulate driver’s mental activities carried out while driving. The methodology supporting this model development is based on empirical data collection on driving simulator, in the frame of a carfollowing task. After presenting the theoretical foundations of the modelling approach and th...

Legislators, journalists, and researchers alike have recently directed a great deal of attention to the effects of cellular telephone (‘cell phone’) use on driver behavior and performance. This paper demonstrates how cognitive modeling can aid in understanding these effects by predicting the impact of cell-phone dialing in a naturalistic driving task. We developed models of four methods of cell...

Bayesian Networks are employed to model the uncertainty hindering in the overtaking behavior of young drivers in two-lane highways and reveal the traffic related microscopic characteristics that may influence the decision to overtake. Results using data from an experiment conducted on driving simulator show that male drivers, on average, accept smaller gaps for overtaking than female drivers. F...

Tone mapping and visual adaptation are crucial for the generation of static, photorealistic images. A largely unexplored problem is the simulation of adaptation and its changes over time on the visual appearance of a scene. These changes are important in interactive applications, including walkthroughs or games, where effects such as dazzling, slow dark-adaptation, or more subtle effects of vis...

Computer based simulation models of human driving behaviour can be used effectively to model driving behaviour and behavioural adaptation to Intelligent Transport System (ITS). This can be a useful step in human centered design of ITS. To construct a comprehensive model of driving behaviour, the interaction between the three levels of the driving task has to be determined. This gives insight in...

This paper presents a method for evaluating the credibility of agents’ behaviors in immersive multi-agent simulations. It combines two approaches. The first one is based on a qualitative analysis of questionnaires filled by the users and annotations filled by others participants to draw categories of users (related to their behavior in the context of the simulation or in real life). The second ...

Intersections are one of the most complex and cognitively demanding driving situations. Individuals with dementia and, more precisely, Alzheimer’s disease (AD), may face additional challenges negotiating intersections given the nature of their cognitive decline, which often includes deficits of attention. We developed a comprehensive evaluation scheme to assess simulated driving performance at ...