Many different experimental methods are used to evaluate driving performance as well as to evaluate the effectiveness of various vehicle safety systems but the results often do not match between different experimental approaches. This study aimed to determine the extent to which results can be matched between a driving simulator and a test track when carefully designed studies are used to repli...

We present in this paper a platform which integrates the different animation models: descriptive, generative and behavioural models. The integration of these models in the same platform permits to offer to each dynamic entity a more realistic and a richer environment, and thereby to increase possible interactions between an actor and its environment. Therefore we describe the unification and th...

Alarm timing for a forward collision warning system plays an important role in system effectiveness. It is necessary to determine the appropriate alarm timing by considering a driver’s response to not only true alarms but also how drivers respond when an alarm should have been issued but was not (missed alarms) to evaluate both the increased system effectiveness and decreased over-reliance on t...

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We report on our on-going effort to build an adaptive driver support system, Driver AdvocateTM, merging various AI techniques, in particular, agents, ontology, production systems and machine learning technologies. The goal of DA is to help drivers have a safer, more enjoyable, and more productive driving experience, by managing their attention and workload. This paper describes the overall arch...

In driving simulation, simulator tilt is used to reproduce linear acceleration. In order to feel realistic, this tilt is performed at a rate below the tilt-rate detection threshold, which is usually assumed constant. However, it is known that many factors affect the threshold, like visual information, simulator motion in additional directions, or active vehicle control. Here we investigated the...

http://www.cl.cam.ac.uk/ between easy and hard tasks. We suggest that this is because participants are aware that they are performing a real task and hence have a greater emotional investment. We present results of two experiments for naturalistic data collection of the physiological effects of cognitive load in command and control. In addition to traditional driving simulation, we propose a re...

Adaptive Cruise Control (ACC) is an Advanced Driver Assistance System that maintains a predefined speed and headway to the vehicle in front. Despite the expected benefits, the effects of ACC usage on drivers’ behaviour are not completely identified yet. In this context, the present study was performed to investigate drivers’ perceived risk and mental workload associated with the usage of ACC, t...

We propose how to acquire driver’s individual operation models using the three-dimensional driving simulator in order to implement distinct personalities on each agent. In this paper, operation models are defined as sets of prioritized operation rules, each of which consists of the world as observed by a driver and his/her next operation according to the observation. Each driver might have diff...

This paper presents the development of a realistic driving simulator and its use in the study of driving education methods. In this study, a large set of persons without driving license will be used. Each person will be submitted to a driving course that may include driving lessons in a real car and / or in the driving simulator. The realism used in the simulation can be adjusted between the cl...