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Nuñez Velasco, J.P. (author), Farah, H. (author), van Arem, B. (author), Hagenzieker, Marjan (author)
Partially and fully automated vehicles (AVs) are being developed and tested in different countries. These vehicles are being designed to reduce and ultimately eliminate the role of human drivers in the future. Most fatal accidents of vulnerable road users (VRUs), pedestrians, cyclists and mopeds, involve a motorized vehicle. In addition, most of...
conference paper 2017
document
Varotto, S.F. (author), Farah, H. (author), Toledo, T (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Automated vehicles and driving assistance systems such as Adaptive Cruise Control (ACC) are expected to reduce traffic congestion, accidents and levels of emissions. Field Operational Tests have found that drivers may prefer to deactivate ACC in dense traffic flow conditions and before changing lanes. Despite the potential effects of these...
conference paper 2017
document
Mullakkal-Babu, F.A. (author), Wang, M. (author), Farah, H. (author), van Arem, B. (author), Happee, R. (author)
Safety measurement and analysis have been a challenging and well-researched topic in transportation. Conventionally, surrogate safety measures have been used as safety indicators in simulation models for safety assessment, in control formulations for driver assistance systems, and in data analysis of naturalistic driving studies. However,...
conference paper 2017
document
Varotto, S.F. (author), Farah, H. (author), Toledo, Tomer (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Automated vehicles and driving assistance systems such as adaptive cruise control (ACC) are expected to reduce traffic congestion, accidents, and levels of emissions. Field operational tests have found that drivers may prefer to deactivate ACC in dense traffic flow conditions and before changing lanes. Despite the potential effects of these...
journal article 2017
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van Gent, P. (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)
The aim of this research is to work towards building an open-source, platform-independent algorithm capable of predicting driver workload in real-time and in a non-intrusive way. To work towards a system that can also be implemented in on-road settings, we aimed at using off-the-shelf, non-intrusive sensors that could be implemented into the...
conference paper 2017
document
van Gent, P. (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)
The use of in-car technology has become more prevalent, both as driver assistance systems as well as connectivity or entertainment systems. Driver assistance systems can be built-in, after-market or run on a smartphone. The challenge however, is to increase drivers’ compliance with these systems. Stimulating the driver to adopt certain...
conference paper 2017
document
Varotto, S.F. (author), Farah, H. (author), Toledo, Tomer (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Driving assistance systems such as Adaptive Cruise Control (ACC) and automated vehicles can contribute to mitigate traffic congestion, accidents, and levels of emissions. Automated vehicles may increase roadway capacity, improve traffic flow stability, and speed up the outflow from a queue (1). The functionalities of automated systems have been...
conference paper 2018
document
Varotto, S.F. (author), Farah, H. (author), Toledo, Tomer (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Adaptive Cruise Control (ACC) and automated vehicles can contribute to reduce traffic congestion and accidents. Recently, an on-road study has shown that drivers may prefer to deactivate full-range ACC when closing in on a slower leader and to overrule it by pressing the gas pedal a few seconds after the activation of the system. Notwithstanding...
journal article 2018
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Nuñez Velasco, J.P. (author), Farah, H. (author), van Arem, B. (author), Hagenzieker, Marjan (author)
Automated vehicles could have many impacts on society [1]. Taking the control of vehicles from human drivers, who by their nature make mistakes, and giving it to automated vehicles (AVs), which are believed to be accurate and reliable, could, in theory, increase safety. However, how non-automated road users will react and interact with...
conference paper 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
van Gent, P. (author), Farah, H. (author), Nes, N (author), van Arem, B. (author)
Heart rate data are collected often in human factors studies. Advances in open hardware platforms and offtheshelf photoplethysmogram (PPG) sensors allow the nonintrusive collection of heart rate data at very low cost. However, the signal is not trivial to analyse, since the morphology of PPG waveforms differs from electrocardiogram (ECG)...
conference paper 2018
document
van Gent, P. (author), Farah, H. (author), van Nes, Nicole (author), van Arem, B. (author)
Heart rate data are often collected in human factors studies, including those into vehicle automation. Advances in open hardware platforms and off-the-shelf photoplethysmogram (PPG) sensors allow the non-intrusive collection of heart rate data at very low cost. However, the signal is not trivial to analyse, since the morphology of PPG waveforms...
journal article 2019
document
Nuñez Velasco, J.P. (author), Farah, H. (author), van Arem, B. (author), Hagenzieker, Marjan (author)
Partially and fully automated vehicles (AVs) are being developed and tested in different countries. These vehicles are being designed to reduce and ultimately eliminate the role of human drivers in the future. However, other road users, such as pedestrians and cyclists will still be present and would need to interact with these automated...
journal article 2019
document
van Gent, P. (author), Farah, H. (author), van Nes, N. (author), van Arem, B. (author)
This paper describes the functioning and development of HeartPy: a heart rate analysis toolkit designed for photoplethysmogram (PPG) data. Most openly available algorithms focus on electrocardiogram (ECG) data, which has very different signal properties and morphology, creating a problem with analysis. ECG-based algorithms generally don’t...
journal article 2019
document
van Gent, P. (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)
Persuasive in-vehicle systems aim to intuitively influence the attitudes and/or behaviour of a driver (i.e. without forcing them). However, the challenge in using these systems in a driving setting, is to maximise the persuasive effect without infringing upon the driver's safety. This paper proposes a conceptual model for driver persuasion at...
journal article 2019
document
Reddy, N. (author), Farah, H. (author), Dekker, Thijs (author), Huang, Yilin (author), van Arem, B. (author)
There is a pressing need for road authorities to take a proactive role in the deployment of automated vehicles on the existing road network. This requires a comprehensive understanding of the road infrastructure requirements that would lead to safe operation of automated vehicles. In this context, a field test with Lane Departure Warning and...
poster 2020
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Farah, H. (author), Bhusari, Shubham (author), van Gent, P. (author), Mullakkal-Babu, F.A. (author), Morsink, Peter (author), Happee, R. (author), van Arem, B. (author)
Lower levels of automation are designed to work in specific conditions referred to as the Operational Design Domain (ODD). Beyond these conditions, the human driver is expected to take control. A mismatch between a driver's understanding and expectations of the automated vehicle capabilities and its actual capabilities as prescribed in the...
journal article 2020
document
Varotto, S.F. (author), Farah, H. (author), Bogenberger, Klaus (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Adaptive Cruise Control (ACC) can reduce traffic congestion and accidents. In dense traffic flow conditions and when changing lanes, drivers prefer to deactivate the ACC. These control transitions between automation and manual driving could impact driver behaviour characteristics. However, few studies have analysed the magnitude and duration of...
journal article 2020
document
Razmi Rad, S. (author), Farah, H. (author), Taale, Henk (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Dedicated Lanes (DLs) have been proposed as a potential scenario for the deployment of Automated and/or Connected Vehicles (C/AVs) on the road network. However, evidence-based knowledge regarding the impacts of different design configurations, utilization policies, and the design of their access/egress on traffic safety and efficiency is...
journal article 2020
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