In this paper, we illustrate the use of evolutionary agents in a multiagent system designed to describe the behavior of car drivers. Each agent has the selfish objective to reach its destination in the shortest time possible, and a preference in terms of paths to take, based on the presence of other agents and on the width of the roads. Those parameters are changed with an evolutionary strategy...

In experimental studies using flight simulations subjects' duration estimates have shown to be an effective indicator of cognitive task demands. In this study we wanted to find out whether subjective time perception could serve as a measure of cognitive workload during simulated car driving. Participants drove on a round course of a driving simulator consisting of three different environments w...

A vast number of Advanced Driver Assistance Systems (ADAS) are commercially available, all of which have the potential to increase the safety and comfort of driving a car. Due to age-specific performance limitations, older drivers could benefit a great deal from such in-vehicle technologies, provided that they are purchased and used. Based on the results of several market research studies, awar...

In order to populate virtual cities, it is necessary to specify the behaviour of dynamic entities such as pedestrians or car drivers. Since a complete mental model based on vision and image processing cannot be constructed in real time using purely geometrical information, higher levels of information are needed in a model of the virtual environment. For example, the autonomous actors of a virt...

but does require sufficient real traffic and action data to capture the underlying relationship between states and actions. Therefore, ANN models estimate actions on the basis of the real state–action mapping of natural behavior. Data from the naturalistic driving database of the Naturalistic Truck Driving Study (NTDS) (1), collected by the Virginia Tech Transportation Institute and Blanco et a...

Car Following models have a critical role in all microscopic traffic simulation models. Current microscopic simulation models are unable to mimic the unsafe behaviour of drivers as most are based on presumptions about the safe behaviour of drivers. Gipps model is a widely used car following model embedded in different micro-simulation models. This paper examines the Gipps car following model to...

Cognitive dysfunction caused by some neurodegenerative diseases is associated with an increased risk of traffic accidents. Previous studies have reported inconsistent results for prodromal and early stages of dementia. Few studies have directly compared the effects on driving performance of amnestic subtype of mild cognitive impairment (aMCI) with those by normal aging in elderly drivers. The p...

Vehicles in the foreseeable future will be required to transition between autonomous driving (without human involvement) and full human control. During this transition period, the human, who has not been actively engaged in the driving process, must resume the motor control necessary to steer the car. The in-car study presented here demonstrates that when human drivers are presented with a stee...

The Videogame Industry of today is now just as strong as, and generates similar revenues to the Film Industry. Computer Games are distributed throughout the world and are sold to millions of people. Of the many different types of games, one of the most popular genres is car racing. Developers of this type of game are increasingly improving their Artificial Intelligence Systems so that their vir...

In order to accelerate the promotion of speech recognition systems to the public; understanding characteristics of speech in real environments is one of the most important issues. This paper reports variations of speech characteristics in a car environment. To analyze speech characteristics in the specific environment, a corpus, recorded carefully in terms of equality of utterances and conditio...