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Haptic Shared Control for Dissipating Phantom Traffic Jams

Koerten, K.O. (author), Abbink, D.A. (author), Zgonnikov, A. (author)

Traffic jams occurring on highways cause increased travel time as well as increased fuel consumption and collisions. So-called phantom traffic jams are traffic jams that do not have a clear cause, such as a merging on-ramp or an accident. Phantom traffic jams make up 50% of all traffic jams and result from instabilities in the traffic flow...

journal article 2024

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Response times in drivers' gap acceptance decisions during overtaking

Sevenster, A.L.A. (author), Farah, H. (author), Abbink, D.A. (author), Zgonnikov, A. (author)

Overtaking on two-lane roads can lead to increased collision risks due to drivers' errors in evaluating whether or not to accept the gap to the vehicle in the opposite lane. Understanding these gap acceptance decisions can help mitigate the risks associated with overtaking. Previous research on overtaking has focused on the factors...

journal article 2023

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The influence of a color themed HMI on trust and take-over performance in automated vehicles

El Jouhri, A. (author), El Sharkawy, A. (author), Paksoy, H. (author), Youssif, O.K.S.A. (author), He, X. (author), Kim, S. (author), Happee, R. (author)

Introduction: SAE Level 3 is known as conditional driving automation. As long as certain conditions are met, there is no need to supervise the technology and the driver can engage in non-driving related tasks (NDRTs). However, a human driver must be present and alert to take over when the automation is facing its system limits. When such an...

journal article 2023

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Optimal Trajectory Planning for Mitigated Motion Sickness: Simulator Study Assessment

Jain, V. (author), Kumar, Sandeep Suresh (author), Papaioannou, G. (author), Happee, R. (author), Shyrokau, B. (author)

In the transition from partial to high automation, occupants will no longer be actively involved in driving. This will allow the use of travel time for work or leisure, where high comfort levels preventing motion sickness are required. In this paper, an optimal trajectory planning algorithm is presented in order to minimise motion sickness in...

journal article 2023

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From Video to Hybrid Simulator: Exploring Affective Responses toward Non-Verbal Pedestrian Crossing Actions Using Camera and Physiological Sensors

Rao, Shruti (author), Ghosh, Surjya (author), Rodriguez, Gerard Pons (author), Röggla, Thomas (author), Cesar, Pablo (author), El Ali, Abdallah (author)

Capturing drivers’ affective responses given driving context and driver-pedestrian interactions remains a challenge for designing in-vehicle, empathic interfaces. To address this, we conducted two lab-based studies using camera and physiological sensors. Our first study collected participants’ (N = 21) emotion self-reports and physiological...

journal article 2023

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Experimental Validation of Torque-Based Control for Realistic Handwheel Haptics in Driving Simulators

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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Should Steering Settings be Changed by the Driver or by the Vehicle Itself?

Melman, T. (author), Weijerman, Mark (author), de Winter, J.C.F. (author), Abbink, D.A. (author)

Introduction: Cars are increasingly computerized, and vehicle settings such as steering gain (SG) can now be altered during driving. However, it is unknown whether transitions in SG should be adaptable (i.e., triggered by driver input) or adaptive (i.e., triggered automatically). We examined this question for road segments expected to require...

journal article 2022

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How do the recognizability and driving styles of automated vehicles affect human drivers’ gap acceptance at T- Intersections?

Reddy, N. (author), Hoogendoorn, S.P. (author), Farah, H. (author)

Future traffic will be composed of both human-driven vehicles (HDVs) and automated vehicles (AVs). To accurately predict the performance of mixed traffic, an important aspect is describing HDV behavior when interacting with AVs. A few exploratory studies show that HDVs change their behavior when interacting with AVs, being influenced by...

journal article 2022

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Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands

Schoenmakers, Mathijs (author), Yang, Dujuan (author), Farah, H. (author)

Automated vehicles (AVs) are expected to improve traffic flow efficiency and safety. The deployment of AVs on motorways is expected to be the first step in their implementation. One of the main concerns is how human drivers will interact with AVs. Dedicating specific lanes to AVs have been suggested as a possible solution. However, there is...

journal article 2021

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Driving examiners’ views on data-driven assessment of test candidates: An interview study

Driessen, T. (author), Picco, Angèle (author), Dodou, D. (author), de Waard, Dick (author), de Winter, J.C.F. (author)

Vehicles are increasingly equipped with sensors that capture the state of the driver, the vehicle, and the environment. These developments are relevant to formal driver testing, but little is known about the extent to which driving examiners would support the use of sensor data in their job. This semi-structured interview study examined the...

journal article 2021

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Stated choices and simulated experiences: Differences in the value of travel time and reliability

Fayyaz, Muhammad (author), Bliemer, Michiel C.J. (author), Beck, Matthew J. (author), Hess, Stephane (author), van Lint, J.W.C. (author)

Surveys with stated choice experiments (SCE) are widely used to derive values of time and reliability for transport project appraisal purposes. However, such methods ask respondents to make hypothetical choices, which in turn could create a bias between choices made in the experiment compared to those in an environment where the choices have...

journal article 2021

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Predictors of accidents in people with mild cognitive impairment, mild dementia due to Alzheimer's disease and healthy controls in simulated driving

Economou, Alexandra (author), Pavlou, Dimosthenis (author), Beratis, Ion (author), Andronas, Nikolaos (author), Papadimitriou, E. (author), Papageorgiou, Sokratis G. (author), Yannis, George (author)

Objectives: To examine the driving variables that predict accident probability in mild dementia due to Alzheimer's disease (AD), mild cognitive impairment (MCI) and healthy older control drivers in simulated driving. To compare the three groups in mean performance and in frequency of scores exceeding 1.5 SD from the mean. Methods/Design:...

journal article 2020

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The Persuasive Automobile: Design and Evaluation of a Persuasive Lane-Specific Advice Human Machine Interface

van Gent, P. (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)

Traffic congestion is a major societal challenge. By advising drivers on the optimal lane to drive, traffic flow can be improved, and congestion reduced. In this paper we describe the development of a lane-specific advice Human Machine Interface (HMI). Persuading drivers to follow an advice that is beneficial to the traffic situation, but may...

journal article 2020

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Time-varying perceived motion mismatch due to motion scaling in curve driving simulation

van Leeuwen, T. D. (author), Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, H. H. (author)

In motion simulation, motion input scaling is often applied to deal with the limited motion envelopes of motion simulators. In this research, the time-varying effects of scaling the lateral specific force up or down during passive curve driving in a car driving simulation are investigated through a simulator experiment. It is concluded that...

journal article 2019

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Haptic shared steering control with an adaptive level of authority based on time-to-line crossing

Zwaan, Hugo (author), Petermeijer, S.M. (author), Abbink, D.A. (author)

Traditional driver-automation interaction trades control over the vehicle back and forth between driver and automation. Haptic shared control offers an alternative by continuously sharing the control through torques on the steering wheel and pedals. When designing additional feedback torques, part of the design choice lies in the stiffness...

journal article 2019

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Modelling overtaking strategy and lateral distance in car-to-cyclist overtaking on rural roads: A driving simulator experiment

Farah, H. (author), Bianchi Piccinini, Giulio (author), Itoh, Makoto (author), Dozza, Marco (author)

The involvement of cyclists in road crashes has not been decreasing with the same magnitude as the involvement of other road users. In particular, the interactions between cyclists and motorized traffic can lead to high-severity crashes. To improve the safety of these interactions, a thorough understanding of road user behaviour is first needed....

journal article 2019

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Adaptive automation: automatically (dis)engaging automation during visually distracted driving

Cabrall, C.D.D. (author), Janssen, Nico (author), de Winter, J.C.F. (author)

Background<br/>Automated driving is often proposed as a solution to human errors. However, fully automated driving has not yet reached the point where it can be implemented in real traffic. This study focused on adaptively allocating steering control either to the driver or to an automated pilot based on momentary driver distraction measured...

journal article 2018

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What determines drivers’ speed?: A replication of three behavioural adaptation experiments in a single driving simulator study

Melman, T. (author), Abbink, D.A. (author), van Paassen, M.M. (author), Boer, E.R. (author), de Winter, J.C.F. (author)

We conceptually replicated three highly cited experiments on speed adaptation, by measuring drivers’ experienced risk (galvanic skin response; GSR), experienced task difficulty (self-reported task effort; SRTE), and safety margins (time-to-line-crossing; TLC) in a single experiment. The three measures were compared using a nonparametric index...

journal article 2018

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A toolbox for automated driving on the STISIM driving simulator

Eriksson, A. (author), de Winter, J.C.F. (author), Stanton, Neville A. (author)

Driving simulators have been used since the beginning of the 1930s to assist researchers in assessing driver behaviour without putting the driver in harm’s way. The current manuscript describes the implementation of a toolbox for automated driving research on the widely used STISIM platform. The toolbox presented in this manuscript allows...

journal article 2018

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Does haptic steering guidance instigate speeding? A driving simulator study into causes and remedies

Melman, T. (author), de Winter, J.C.F. (author), Abbink, D.A. (author)

An important issue in road traffic safety is that drivers show adverse behavioral adaptation (BA) to driver assistance systems. Haptic steering guidance is an upcoming assistance system which facilitates lanekeeping performance while keeping drivers in the loop, and which may be particularly prone to BA.<br/>Thus far, experiments on haptic...

journal article 2017