Searched for: author%3A%22Melman%2C+T.%22
(1 - 12 of 12)
document
Melman, T. (author)
In recent years, cars are increasingly computerized, where the handling of the vehicle can be changed to accommodate individual needs. One specific feature in current vehicles that can alter the vehicle’s dynamic behavior are driving modes: predetermined vehicle settings that drivers can select by the press of a button. Unfortunately, user...
doctoral thesis 2022
document
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
document
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
document
Melman, T. (author), Visser, P. (author), Mouton, Xavier (author), de Winter, J.C.F. (author)
Modern computerized vehicles offer the possibility of changing vehicle parameters with the aim of creating a novel driving experience, such as an increased feeling of sportiness. For example, electric vehicles can be designed to provide an artificial sound, and the throttle mapping can be adjusted to give drivers the illusion that they are...
journal article 2021
document
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
document
Melman, T. (author), Kolekar, S.B. (author), Hogerwerf, Ellen (author), Abbink, D.A. (author)
When drivers encounter a road narrowing two potential adaptation strategies come into play that may increase safety margins: decreasing speed and increasing neuromuscular stiffness of the arms. These two adaption strategies have so far been studied in isolation. We expect that there is a trade-off between these two strategies, and that risk...
conference paper 2020
document
Melman, T. (author), de Winter, J.C.F. (author), Mouton, Xavier (author), Tapus, Adriana (author), Abbink, D.A. (author)
Several modern vehicles provide the option to select a driving mode. However, the literature contains no empirical studies that investigate how driving modes affect the vehicle's dynamic behaviour in regular on-road driving. We examined for which CAN-bus signals the differences between Renault's Multi-Sense® comfort and sport modes are most...
journal article 2019
document
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
document
van Gent, P. (author), Melman, T. (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)
The present study aims to add to the literature on driver workload prediction using machine learning methods. The main aim is to develop workload prediction on a multi-class basis, rather than a binary high/low distinction as often found in litearature. The presented approach relies on measures that can be obtained unobtrusively in the driving...
conference paper 2018
document
van Gent, P. (author), Melman, T. (author), Farah, H. (author), van Nes, Nicole (author), van Arem, B. (author)
The present study aims to add to the literature on driver workload prediction using machine learning methods. The main aim is to develop workload prediction on a multi-level basis, rather than a binary high/low distinction as often found in literature. The presented approach relies on measures that can be obtained unobtrusively in the driving...
journal article 2018
document
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
document
Melman, T. (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 lane-keeping performance while keeping drivers in the loop, and which may be particularly prone to BA. Thus far, most experiments on haptic...
master thesis 2016
Searched for: author%3A%22Melman%2C+T.%22
(1 - 12 of 12)