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...

This study presents the conceptual design of an intersection bus-pedestrian collision warning system for bus drivers approaching an intersection. The basic parameters of the proposed design concept include the bus drivers’ perception-reaction time, the emergency deceleration rate of the bus, and pedestrian walking speed. A bus driving simulation was designed and conducted to analyze bus drivers...

This study evaluates the use of a motion seat in a fixed-base driving simulator. Sixty subjects with driving experience participated in a braking experiment and a cornering experiment in a between-subjects design. In the braking experiment, motion seat cueing versus motion turned off was evaluated. In the cornering experiment, we evaluated motion cueing according to the engineering way, accordi...

This thesis extends the Statistical Saliency Model to include motion as a feature, enabling it to compute the saliency of video sequences more effectively. The motion feature is represented as optical flow and incorporated into the model. The model is validated by testing its capability in predicting reaction time performance in a driving simulator. We find that the model does help predict reac...

Realistic traffic scenarios in driving simulators are a mandatory prerequisites for user studies on advanced driver assistance systems. A back-projection table-top environment in combination with miniature toy cars offers a new way for the creation of traffic scenarios with fine-grained human behavior. The system is linked to a driving simulator and enables direct experiencing. The platform als...