Searched for: subject:"driving"
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Visser, Peter (author)
Many modern vehicles are equipped with a sport mode, which intends to increase drivers' perceived sportiness of the vehicle, via e.g. power-train enhancement (PTE) or engine sound enhancement (ESE). However, to the best of authors' knowledge, no studies are available that investigated the individual or combined effects of PTE and ESE on...
master thesis 2021
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Stapel, J.C.J. (author)
Problem Definition According to the World Health Organization, traffic injuries have become the eighth cause of death and the leading cause among children and young adults. Human error, and in particular perceptual error, is among the most frequently reported causes of road fatalities. The desire to reduce traffic fatalities has led to the...
doctoral thesis 2021
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Pauwels, Alex (author)
The establishment of areas for safe automated driving in mixed-traffic settings is one major barrier in the development and adoption of Autonomous Vehicles (AVs). This work investigates safety in the interactions between AVs, human-driven vehicles, and vulnerable road users such as cyclists and pedestrians in a simulated urban environment in the...
master thesis 2021
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Vleeshouwer, Tim (author)
Interacting with cyclists is a difficult challenge for Automated Vehicles (AVs). It is important that the introduction of AVs does not lead to a decrease in cyclist safety. This study presents a new methodology that is developed to assess road safety between AVs and cyclists. Surrogate Measures of Safety are identified specifically for the...
master thesis 2021
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Yilmaz, Ozal (author)
The development of a wind farm is a highly sophisticated task, whereby many stakeholders are involved and several unique disciplines come together to form a whole. Commonly, the unique disciplines are optimized individually which leads to sub-optimal windfarm designs. Therefore, it is of great importance that an interdisciplinary approach is...
master thesis 2021
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Winter, M.K.E. (author), Cats, O. (author), Martens, Karel (author), van Arem, B. (author)
With the anticipated introduction of self-driving vehicles, new challenges arise for urban transport- and planning authorities. This study contributes to the efforts of formulating the potential opportunities and threats stemming from the introduction of larger fleets of self-driving vehicles to our cities, and what action could be taken by...
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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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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Soni, Shubham (author)
Advancements in technology are bringing Automated vehicles (AVs) closer to reality and it is not so far in future when these vehicles will have a significant penetration rate in our existing transport network. However, in the early phases of automation, penetration rate of these vehicles will be very low. This would lead to a mixed traffic...
master thesis 2020
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Ebbers, Thijs (author)
Automated vehicles with conditional driving automation (SAE level 3 (SAE, 2018)) will request the human driver to intervene when reaching its system boundaries by issuing a take-over request (TOR). This study is investigating whether a speech-based auditory take-over request is influencing the time it takes from automated to manual driving,...
master thesis 2020
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Eppink, Jesse (author)
Potential usage of the workspace of driving simulators is restricted by a lack of knowledge on oncoming maneuvers, due to the unpredictable nature of human drivers. This research aims to explore the possibility of using information from driver inputs, dynamic vehicle states, and features of the road environment to improve motion cueing through...
master thesis 2020
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Marfoglia, Themis (author)
The development of automated vehicles on the road is in full swing. As vehicles are getting increasingly automated, the human factor is diminished or eventually removed from automated driving. Until then, a combination of human input and automation is necessary during automated driving. This research focuses on the interaction between humans and...
master thesis 2020
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Grazian, B. (author)
This master thesis report gathers the research and design activities executed in 100 working days, in order to investigate the future context of autonomous driving. More specifically, the communication between the human driver and automation during the automated driving modes (Long Out of the Loop and Standby modes) has been investigated to...
master thesis 2020
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Tomy, Abhishek (author)
A human driver can gauge the intention and signals given by other road users indicative of their future behaviour. The intentions and signals are identified by looking at the cues originating from vulnerable road users or their surroundings (hand signals, head orientation, posture, traffic signals, distance to curb, etc.). Taking all these cues...
master thesis 2020
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Rios Lazcano, A.M. (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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Stapel, J.C.J. (author), El Hassnaoui, Mounir (author), Happee, R. (author)
Objective: To investigate how well gaze behavior can indicate driver awareness of individual road users when related to the vehicle’s road scene perception. Background: An appropriate method is required to identify how driver gaze reveals awareness of other road users. Method: We developed a recognition-based method for labeling of driver...
journal article 2020
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Stolk, Maarten (author)
During a vitrectomy procedure vitreous is removed from the eye with a vitreous cutter, called a vitrectome. This instrument is comprised of two needles that move to cut the vitreous into small pieces before aspirating them. Vitreous cutters are complex instruments that are light and small in size to increase their accuracy. Because of their...
master thesis 2020
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van der Drift, Maarten (author)
One of the world’s biggest concerns is global warming, a solution to this can be wind energy. Offshore wind energy has advantages over onshore wind energy, however, the levelized cost of energy is higher. The maintenance costs are a major cost contributor. To lower these costs, research is performed on faults and its detection. Currently, little...
master thesis 2020
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Khusro, Yash Raj (author)
Driving simulators are widely used for understanding Human-Machine Interaction, driver behavior and driver training. The effectiveness of such simulators in this process depends largely on their ability to generate realistic motion cues. Though the conventional filter-based motion cueing strategies have provided reasonable results, these methods...
master thesis 2020
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Vermeer, R.F.T. (author)
In this thesis, we consider the problem of controlling multiple autonomous vehicles in a highway scenario, via MPC. By iteratively solving a motion planning OCP, MPC is perfectly suited for unknown dynamic environments, while optimally computing path and vehicle inputs. Moreover, MPC can ensure the satisfaction of collision avoidance constraints...
master thesis 2020
Searched for: subject:"driving"
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