Project

Modeling driver control behavior in both routine and near-accident driving

Building on ideas from contemporary neuroscience, a framework is proposed in which drivers’ steering and pedal behavior is modeled as a series of individual control adjustments, triggered after accumulation of sensory evidence for the need of an adjustment

Modelling driver steering and neuromuscular behaviour

This thesis challenges the traditional view of treating steering behaviour as a tracking task, instead treating it as a reaching task. Here, reaching refers to a fundamental human behaviour with the the intriguing characteristic of having a linear

Driver behavior models for evaluating automotive active safety: From neural dynamics to vehicle dynamics

The main topic of this thesis is how to realistically model driver behavior in computer simulations of safety critical traffic events, an increasingly important tool for evaluating automotive active safety systems. By means of a comprehensive literature

Improving yaw stability control in severe instabilities by means of a validated model of driver steering

An experiment was carried out on a low friction test track, where seven truck drivers repeatedly performed collision avoidance and stabilization with a 4x2 tractor. A previous finding from a simulator study was confirmed: In severe yaw instability, drivers

A simulation environment for analysis and optimization of driver models

A simulation environment for evaluation and optimization of driver models is introduced and described. The simulation environment features models of vehicles and drivers, as well as a representation of the traffic environment (roads, buildings etc.). In

Driver modeling: Data collection, model analysis, and optimization

This thesis concerns aspects of driver modeling, with an emphasis on critical near-crash scenarios, involving time spans of around 10 s of driving. Here,driver modeling has been studied using both computer simulations and experiments carried out in a high

A Review of Near-Collision Driver Behavior Models

Objective:

Effects of experience and electronic stability control on low friction collision avoidance in a truck driving simulator

Two experiments were carried out in a moving-base simulator, in which truck drivers of varying experience levels encountered a rear-end collision scenario on a low-friction road surface, with and without an electronic stability control (ESC) system. In the

Evaluating vehicle stability support systems by measuring, analyzing, and modeling driver behavior

This thesis presents an investigation of near-accident behavior of truck drivers, with and without support from an electronic stability control (ESC) system. A critical scenario, involving both collision avoidance and vehicle stabilization on a low

Comparing and validating models of driver steering behaviour in collision avoidance and vehicle stabilisation

A number of driver models were fitted to a large data set of human truck driving, from a simulated near-crash, low-friction scenario, yielding two main insights: steering to avoid a collision was best described as an open-loop manoeuvre of predetermined

Driver behaviour in unexpected critical events and in repeated exposures - a comparison

A Driver Model Using Optic Information for Longitudinal and Lateral Control of a Long Vehicle Combination

High driver acceptance is believed to be an important aspect when introducing automated driving functionalities for prospective long vehicle combinations. The main hypothesis of this paper is that high driver acceptance can be realized by utilizing driver

Evidence for a fundamental property of steering

In this paper, a general and fundamental property of steering is demonstrated: It is shown that steering corrections generally follow bell-shaped profiles of steering rate. The finding is strongly related to what is already known about reaching movements