Searched for: subject%3A%22Driver%255C%2Bmodeling%22
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Harmankaya, Hüseyin (author)
Commercially available Lane Keeping Assist systems fail to consider the driver's intentions since they mainly focus on minimising path tracking errors, resulting in conflicts between humans and automation. This often leads to users being unsatisfactory and turning off the assist, as a result diminishing the advantages such as reduced workload...
master thesis 2023
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
In the design of human-like steering support systems, driver models are essential for matching the supporting automation's behavior to that of the human driver. However, current driver models are very limited in capturing the driver's adaptation to key task variables such as road width and visibility (i.e., 'preview' of the road ahead). This...
journal article 2023
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
A major challenge for autonomous vehicles is handling interactions with human-driven vehicles—for example, in highway merging. A better understanding and computational modelling of human interactive behaviour could help address this challenge. However, existing modelling approaches predominantly neglect communication between drivers and assume...
journal article 2023
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
A major challenge for autonomous vehicles is interacting with other traffic participants safely and smoothly. A promising approach to handle such traffic interactions is equipping autonomous vehicles with interaction-aware controllers (IACs). These controllers predict how surrounding human drivers will respond to the autonomous vehicle’s actions...
journal article 2022
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van Wijk, Robert (author), Lazcano, Andrea Michelle Rios (author), Akutain, Xabier Carrera (author), Shyrokau, B. (author)
Modern Advanced Driver Assistance Systems (ADAS) are limited in their ability to consider the driver's intention, resulting in unnatural guidance and low customer acceptance. In this research, we focus on a novel data-driven approach to predict driver steering torque. In particular, driver behavior is modeled by learning the parameters of a...
journal article 2022
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Damian, Mircea (author), Shyrokau, B. (author), Carrera Akutain, Xabier (author), Happee, R. (author)
A realistic steering feel is one of the key elements to guarantee fidelity on a driving simulator in general, and in particular to replicate on-centre vehicle handling. This requires precise modelling of the steering dynamics, a high bandwidth control loading system, and coupling of virtual and physical components in agreement with...
journal article 2022
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Commijs, Tjeerd (author)
Accurate models of driver steering behavior are essential with ever-growing automation in road vehicles. In this project, the effects of driving speed on steering behavior on winding roads are investigated and modeled. Data were collected in a human-in-the-loop curve driving experiment with fifteen participants, who were asked to drive at five...
master thesis 2021
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Kolekar, S.B. (author)
The National Highway Transportation Safety Administration (NHTSA) reports that 94-96% of the road accidents involve human error. These statistics make it seem as if humans are terrible drivers. However, a different set of numbers paint a completely different picture. According to the United States Bureau of Transportation Statistics, the failure...
doctoral thesis 2021
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van Wijk, Robert (author)
Current commercial Driver Steering Assistance Systems (DSAS) focus on path-tracking performance without taking into account driver intentions. Improved driver-automation interaction can be achieved by sharing vehicle lateral control through torques. Furthermore, integrating a driver steering-torque model allows to better match driver intentions....
master thesis 2021
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Barendswaard, S. (author)
Road safety is still a challenging issue. In 2020, 1.35 million people have died as a result of traffic accidents, where the number one cause of death for young adults between the age of 5 and 29 is car accidents. In an attempt to improve road safety, the automotive industry has developed numerous types of Advanced Driver Assistance Systems ...
doctoral thesis 2021
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Kolekar, S.B. (author), Petermeijer, S.M. (author), Boer, E.R. (author), de Winter, J.C.F. (author), Abbink, D.A. (author)
Quantifying drivers’ perceived risk is important in the design and evaluation of the behaviour of automated vehicles (AVs) and in predicting takeovers by the driver. A ‘Driver's Risk Field’ (DRF) function has been previously shown to be able to predict manual driving behaviour in several simulated scenarios. In this paper, we tested if the...
journal article 2021
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Schenk, L.G.M. (author), Chugh, Tushar (author), Bruzelius, Fredrik (author), Shyrokau, B. (author)
This paper aims to find a mathematical justification for the non-linear steady state steering haptic response as a function of driver arm posture. Experiments show that different arm postures, that is, same hands location on the steering wheel but at different initial steering angles, result in a change in maximum driver arm stiffness. This...
journal article 2021
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Rios Lazcano, A.M. (author), Niu, Tenghao (author), Carrera Akutain, Xabier (author), Cole, David (author), Shyrokau, B. (author)
Advanced Driver Assistance Systems (ADAS) aim to increase safety and reduce mental workload. However, the gap in the understanding of the closed-loop driver-vehicle interaction often leads to reduced user acceptance. In this study, an optimal torque control law is calculated online in the Model Predictive Control (MPC) framework to guarantee...
journal article 2021
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Raju, Narayana (author), Arkatkar, Shriniwas (author), Easa, Said (author), Joshi, Gaurang (author)
This study aims to model traffic flow under weak lane based heterogonous (mixed) traffic conditions. Unlike homogeneous traffic, when a follower (subject) vehicle in mixed traffic moves closer to its leader vehicle, it tends to adjust its longitudinal movement or change its lane and acts discretely. Due to this phenomenon, traffic flow modeling...
journal article 2021
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Rios Lazcano, Andrea (author)
Advanced Driver Assistance Systems (ADAS) aim to increase safety and reduce mental workload. However, the gap in the understanding of the closed-loop driver-vehicle interaction often leads to reduced user acceptance. In this research, an optimal torque control law is calculated online in the Model Predictive Control (MPC) framework to guarantee...
master thesis 2020
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Schenk, Lydia (author)
Haptic feedback from the steering wheel is one of the most important cues for driver to vehicle interaction. The right feedback is provided by ensuring that the haptic controller provides the required steering feel. Steering feel assessment and design is divided into a subjective and objective approach. The subjective approach entails...
master thesis 2020
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Blauw, Mathieu (author)
The Dutch governmental organisation Rijkswaterstaat contributes to the smooth and safe flow of traffic, as both traffic jams and accidents cost society large amounts of money each day. Roads are designed for the current traffic composition. Due to the promotion of Adaptive Cruise Control (ACC) systems, utilisation of these systems is expected to...
master thesis 2019
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Pizzigoni, Edoardo (author)
Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major car manufacturers are introducing SAE level 2 and 3 automation systems into the market. The main advantage of Automated Vehicles (AV) will be the significant decrease in road accidents and...
master thesis 2019
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van der El, Kasper (author), Pool, D.M. (author), Mulder, Max (author)
Drivers rely on a variety of cues from different modalities while steering, but which exact cues are most important and how these different cues are used is still mostly unclear. The goal of our research project is to increase understanding of driver steering behavior; through a measuring and modeling approach we aim to extend the validity of...
journal article 2019
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Kolff, M.J.C. (author), van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
The understanding of human responses to visual information in car driving tasks requires the use of system identification tools that put constraints on the design of data collection experiments. Most importantly, multisine perturbation signals are required, including a multisine road geometry, to separately identify the different driver...
journal article 2019
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