Searched for: subject%3A%22automated%255C%252Bvehicles%22
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Andries, Jerom (author)
The field of automated vehicles gains more and more attention each year as the effective implementation of such vehicles in real life is imminent. The increasing amount of scientific studies addressing the impact of automated vehicles on the traffic network shows the same trend. While much research focuses on regular intersections, only a few...
master thesis 2024
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van Zeijl, Lola (author)
The development of automated cars has introduced the potential to reduce global CO2 emissions by enhancing driving efficiency. However, counter-research suggests that this may lead to increased CO2 emissions due to higher speeds and highway congestion. This research examines the impact of automated cars on train travel, focusing on their unique...
master thesis 2023
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Cai, Yujing (author)
The evolution of the automated driving industry liberates users from driving tasks, thus creating more time for Non-Driving-Related activities (NDRAs), thereby transforming the car from a mere mode of transport to a mobile activity platform. This shift presents two main challenges: predicting the type of activities passengers will engage in...
master thesis 2023
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Spek, Wouter (author)
This study explored several anticipatory interfaces as motion sickness mitigation tool in autonomously driving vehicles. The interfaces were designed to lower the mismatch between the expected motion and the sensory input in a moving body, by providing anticipatory information on upcoming vehicle motion. The two proposed interfaces were a Light...
master thesis 2023
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Lingam, Shiva Nischal (author)
Driving involves communicative interactions where human drivers use communication signals to negotiate their right-of-way for road safety. The introduction of automated vehicles (AVs) in mixed-traffic environment, where human drivers will interact with AVs, will affect the nature of these communicative interactions. AVs and human-driven vehicles...
master thesis 2021
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Shivankar, Shantanu (author)
The mental model is a very rarely studied topic when it comes to human-machine interaction. Nearly all the studies that are done in this field are on measuring the actual performance of the human while performing the collaborative task with the automation system rather than understanding the complete picture of how the human is understanding and...
master thesis 2021
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Kotian, Varun (author)
Increased susceptibility to motion sickness, due to the transition away from driving, will be one of the major hurdles in the widespread use of automated vehicles. Sustained exposure to motion sickness can lead to the disuse of automated vehicle technology among users. Thus, there is a need to mitigate motion sickness. To do so, a robust model...
master thesis 2021
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Shan, Yujie (author)
Automated transportation technology has been rapidly evolving across all modes of transportation, with enormous potential to improve road safety and travel comfort. New challenges arose during the transition to full automation, such as increased instances of disagreements between the driver and the automation system over who should take control....
master thesis 2021
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van den Haak, Daniel (author)
Lane change decision-making is an important challenge for automated vehicles, urging the need for high performance algorithms that are able to handle complex traffic situations. Deep reinforcement learning (DRL), a machine learning method based on artificial neural networks, has recently become a popular choice for modelling the lane change...
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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Mallon, Thomas (author)
In 1886, humanity started a great effort to move away from horseback and build a carriage over which they have full control. A century-and-a-half later, we have succeeded to the degree that we are looking for a way to relax in our automobiles. The MEDIATOR project tackles the transitional period between conventional automobiles and fully...
master thesis 2020
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Hooft, Floris (author)
Automated vehicles (AV) are expected to change our future way of transportation and bring many positive effects, such as better road/vehicle safety, reduced environmental costs but also increased on-board productivity. The commonly adopted approach to capture the effect of increased on-board productivity is to reduce the ‘penalty’ associated...
master thesis 2020
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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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van Leeuwen, Bart (author)
The emergence of connected and automated vehicles (CAVs) could have a significant impact on traffic efficiency and safety. The effects of CAVs in regular highway traffic are relatively well represented in scientific research. How these effects change in exceptional situations, such as work zones, and how the infrastructure can influence these...
master thesis 2020
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Oudshoorn, Max (author)
Various visual external human-machine interfaces (eHMIs) have been proposed that communicate the intent of automated vehicles (AVs) to vulnerable road users. However, there is no consensus on which eHMI concept is most suitable for intent communication. In nature, animals have evolved the ability to communicate intent via visual signals....
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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Cornet, R. (author)
Fully automated vehicles have the potential to increase road safety and improve traffic flow by taking the human element out of the driving loop. They can also provide mobility to people who are unable to operate a conventional vehicle. Safe automated vehicles must be able to respond in emergency situations or drive on slippery roads in bad...
master thesis 2020
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Gürses, Sergin (author)
Human Machine Interface (HMI) is a design concept that improves the interaction between the driver and the automated vehicle, which leads to greater safety and comfort for the driver and greater safety for the road user. Therefore, many papers and patents are published every year. Many papers use different methodologies and materials due to some...
master thesis 2020
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Sripada, Anirudh (author)
Highly automated vehicles may lead to vehicle occupants getting distracted from driving-related tasks, so it may be necessary to introduce at new modalities to achieve effective pedestrian-vehicle communication. This research proposes using the lateral deviation of the automated vehicle within its lane as a method to communicate if it is going...
master thesis 2020
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Dijkhuizen, Suzanne (author)
With the arrival of Connected and Automated Vehicles (CAVs) concepts for traffic control systems emerge that let CAVs weave over the crossing area of an intersection. However, in the current literature, the safety of these vehicles is generally an assumption rather than a certainty. Moreover, the time period where CAVs and Human-Driven Vehicles ...
master thesis 2020
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