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Zgonnikov, A. (author), Beckers, N.W.M. (author), George, A. (author), Abbink, D.A. (author), Jonker, C.M. (author)
Understanding behavior of human drivers in interactions with automated vehicles (AV) can aid the development of future AVs. Existing investigations of such behavior have predominantly focused on situations in which an AV a priori needs to take action because the human has the right of way. However, future AVs might need to proactively manage...
journal article 2024
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provides insight into human gap acceptance and traffic flow effects, it obscures the operational inputs of interacting...
journal article 2024
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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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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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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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Tiwari, V. (author), Abbink, T. F. (author), Ocadiz flores, J.A. (author), Flèche, J. L. (author), Gueneau, C. (author), Chatain, S. (author), Smith, A.L. (author), Martinet, J. (author), Venard, C. (author)
A thorough understanding of the corrosion chemistry between molten salt fuel and structural materials (e.g., steel) is key for the advancement of Molten Salt Reactor technology. In this work, we consider more specifically the case of a chloride fuel salt mixture and the thermochemistry of a salt mixture such as (NaCl-MgCl<sub>2</sub>-PuCl<sub...
journal article 2023
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Vermin, B. L. (author), Abbink, D.A. (author), Schulte, F. (author)
Increasing online retail has resulted in increased automation in order picking systems, leading to new challenges and opportunities in task scheduling. The job-shop scheduling problem is an optimization problem essential in such systems, but existing JSP literature often overlooks workplace fatigue, which harms employees’ well-being and costs U...
journal article 2023
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Cavalcante Siebert, L. (author), Lupetti, M.L. (author), Aizenberg, E. (author), Beckers, N.W.M. (author), Zgonnikov, A. (author), Veluwenkamp, H.M. (author), Abbink, D.A. (author), Giaccardi, Elisa (author), Houben, G.J.P.M. (author), Jonker, C.M. (author), van den Hoven, M.J. (author), Forster, D. (author), Lagendijk, R.L. (author)
How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their actions cannot be properly attributed to any particular person or group. The concept of...
journal article 2022
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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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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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de Winter, J.C.F. (author), Petermeijer, S.M. (author), Abbink, D.A. (author)
A major question in human-automation interaction is whether tasks should be traded or shared between human and automation. This work presents reflections—which have evolved through classroom debates between the authors over the past 10 years—on these two forms of human-automation interaction, with a focus on the automated driving domain. As...
journal article 2022
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Smeets, Jeroen B.J. (author), Vos, Kim (author), Abbink, Emma (author), Plaisier, M.A. (author)
The size-weight illusion is well-known: if two equally heavy objects differ in size, the large one feels lighter than the small one. Most explanations for this illusion assume that because the information about the relevant attribute (weight itself) is unreliable, information about an irrelevant but correlated attribute (size) is used as well...
journal article 2022
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Melman, T. (author), Tapus, Adriana (author), Jublot, Maxime (author), Mouton, Xavier (author), Abbink, D.A. (author), de Winter, J.C.F. (author)
A key question in transportation research is whether drivers show behavioral adaptation, that is, slower or faster driving, when new technology is introduced into the vehicle. This study investigates behavioral adaptation in response to the sport mode, a technology that alters the vehicle's auditory, throttle-mapping, power-steering, and...
journal article 2022
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Beckers, N.W.M. (author), Cavalcante Siebert, L. (author), Bruijnes, M. (author), Jonker, C.M. (author), Abbink, D.A. (author)
People seem to hold the human driver to be primarily responsible when their partially automated vehicle crashes, yet is this reasonable? While the driver is often required to immediately take over from the automation when it fails, placing such high expectations on the driver to remain vigilant in partially automated driving is unreasonable....
journal article 2022
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Zgonnikov, A. (author), Abbink, D.A. (author), Markkula, Gustav (author)
Objective: We aim to bridge the gap between naturalistic studies of driver behavior and modern cognitive and neuroscientific accounts of decision making by modeling the cognitive processes underlying left-turn gap acceptance by human drivers. Background: Understanding decisions of human drivers is essential for the development of safe and...
journal article 2022
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van Baelen, D. (author), van Paassen, M.M. (author), Ellerbroek, Joost (author), Abbink, D.A. (author), Mulder, Max (author)
Modern aircraft can be equipped with a flight envelope protection system: automation which modifies pilot control inputs to ensure that the aircraft remains within the allowable limits. Overruling the pilot inputs may lead to mode confusion, even when visual or auditory feedback is provided to alert pilots. We advocate using active control...
journal article 2021
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Doornebosch, Luuk Maria (author), Abbink, D.A. (author), Peternel, L. (author)
Tele-impedance augments classic teleoperation by enabling the human operator to actively command remote robot stiffness in real-time, which is an essential ability to successfully interact with the unstructured and unpredictable environment. However, the literature is missing a study on benefits and drawbacks of different types of stiffness...
journal article 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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Melman, T. (author), Abbink, D.A. (author), Mouton, Xavier (author), Tapus, Adriana (author), de Winter, J.C.F. (author)
Current predictors of fuel consumption are typically based on computer simulations or data collections in real traffic, where the route and vehicle type are not under the researcher's control. Here, we predicted fuel consumption using test track data, an approach that allowed for location-specific predictions. Ninety-one drivers drove a total...
journal article 2021
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Smith, A.L. (author), Vlieland, J. (author), Pignié, M. C. (author), Abbink, M. (author), Mikaelian, G. (author), Benigni, P. (author)
The ternary cesium molybdates Cs<sub>2</sub>Mo<sub>2</sub>O<sub>7</sub>, Cs<sub>2</sub>Mo<sub>3</sub>O<sub>10</sub>, Cs<sub>2</sub>Mo<sub>5</sub>O<sub>16</sub> and Cs<sub>2</sub>Mo<sub>7</sub>O<sub>22</sub> have been synthesized in this work using a solid state route and their structures have been characterized using X-ray diffraction. The...
journal article 2021
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