Inter-vehicle communication is becoming increasingly relevant in the research and development of novel, innovative vehicular applications. To support the driver in his/her primary driving task in an effective non distracting way, these applications need to be evaluated in a realistic context from a driver’s perspective of the VANET environment. In this paper we propose an innovative driver-cent...

This paper proposes a novel control architecture for autonomous vehicle driving in a dynamic and uncertain tra c environment. The architecture is composed of three levels: (1) the operational level deals with a reactive control of a vehicle in a short time cycle; (2) the tactical level decides proper maneuvers based on prediction of future states using probabilistic trafc models; (3) the meta-t...

The objective of this thesis is to implement a basic, yet realistic, ESC system into the VTI simulator environment. This system is then validated to assure that it is working properly and provides a realistic behavior. The implemented ESC system is used in a study, where the ESC system could be turned on and off, to evaluate the benefits of an ESC system after a side impact. This study shows th...

In this paper we explore the time course of a lane change in terms of the driver’s control and eyemovement behavior. We conducted an experiment in which drivers navigated a simulated multi-lane highway environment in a fixed-base, medium-fidelity driving simulator. We then segmented the driver data into standardized units of time to facilitate an analysis of behavior before, during, and after a...

In recent years, substantial progress has been made in the development of powerful new approaches to modeling and generation of the stochastic input processes driving simulation models. In this panel discussion, we examine some of the central issues and unresolved problems associated with each of these approaches to simulation input modeling.

This paper presents a study focused on comparing driving behavior of expert and novice drivers in a mid-range driving simulator with the intention of evaluating the validity of driving simulators for driver training. For the investigation, measurements of performance, psychophysiological measurements, and self-reported user experience under different conditions of driving tracks and driving ses...

Introduction: The aim of the present study is to identify which of subjective workload dimensions are influenced by driving experience and situation complexity, and which ones influence driving performance. Method: Fifty-seven young drivers (15 traditionally trained novices, 12 earlytrained novices, 15 with three years of experience and 15 with at least five years of experience) were randomly a...

This paper presents a new method for creating a 3D virtual broad city environment with walk-through systems based on Image-Based Rendering(IBR). In that virtual city, people can move rather freely and look at arbitrary views. The strength of our method is that we are able to easily render any view from an arbitrary point to an arbitrary direction on the ground in a virtual environment; previous...

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...