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Kim, S. (author)
Automated vehicles are anticipated to not only improve safety and comfort but also redefine the nature of driver-vehicle interactions. With these advancements, drivers in automated vehicles share the monitoring and supervising role with the system, creating a unique human-machine team. In this relation, beyond technical excellence, it is...
doctoral thesis 2024
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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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Kotian, V. (author), Pool, D.M. (author), Happee, R. (author)
Users of automated vehicles will move away from being drivers to passengers, preferably engaged in other activities such as reading or using laptops and smartphones, which will strongly increase susceptibility to motion sickness. Similarly, in driving simulators, the presented visual motion with scaled or even without any physical motion causes...
conference paper 2023
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Pöhlmann, Katharina Margareta Theresa (author), Al Taie, Ammar Jamal Said (author), Li, Gang (author), Dam, Abhraneil (author), Wang, Yu Kai (author), Wei, Chun Shu (author), Papaioannou, G. (author)
The adoption of automated vehicles will be a positive step towards road safety and environmental benefits. However, one major challenge that still exist is motion sickness. The move from drivers to passengers who will engage in non-driving related tasks as well as the potential change in the layout of the car interior that will come with...
conference paper 2023
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van Duin, Ron (author), Dharmasastha, Suraj (author), Piest, Sebastian (author)
The application of blockchain has great potential in the logistics industry, especially in because transportation involves multiple actors and a considerable numbers of transactions. This paper presents the results and findings of case study research at XL Businesspark as part of the STEERS project and adds 6 use cases for blockchain technology...
book chapter 2022
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Soni, Shubham (author), Reddy, N. (author), Tsapi, Anastasia (author), van Arem, B. (author), Farah, H. (author)
Advancements in technology are bringing automated vehicles (AVs) closer to wider deployment. However, in the early phases of their deployment, AVs will coexist and frequently interact with human-driven vehicles (HDVs). These interactions might lead to changes in the driving behavior of HDVs. A field test was conducted in the Netherlands with...
journal article 2022
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Farah, H. (author), Postigo, Ivan (author), Reddy, N. (author), Dong, Y. (author), Rydergren, Clas (author), Raju, Narayana (author), Olstam, Johan (author)
The gradual deployment of automated vehicles on the existing road network will lead to a long transition period in which vehicles at different driving automation levels and capabilities will share the road with human driven vehicles, resulting into what is known as mixed traffic. Whether our road infrastructure is ready to safely and efficiently...
journal article 2022
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Pöhlmann, Katharina Margareta Theresa (author), Li, Gang (author), Dam, Abhraneil (author), Wang, Yu Kai (author), Wei, Chun Shu (author), Brietzke, Adrian (author), Papaioannou, G. (author)
The mass adoption of automated vehicles in the near future will benefit safety (of occupants and pedestrians), the environment (low emissions), and society (accessibility, on-demand travel). There are, however, still challenges that need to be addressed, with one of the most crucial being motion sickness. In automated vehicles, the interior...
conference paper 2022
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Reddy, N. (author), Hoogendoorn, S.P. (author), Farah, H. (author)
Future traffic will be composed of both human-driven vehicles (HDVs) and automated vehicles (AVs). To accurately predict the performance of mixed traffic, an important aspect is describing HDV behavior when interacting with AVs. A few exploratory studies show that HDVs change their behavior when interacting with AVs, being influenced by...
journal article 2022
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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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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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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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Epke, Michael Ray (author)
Communication between pedestrians and drivers partially relies on nonverbal communication methods such as eye-contact and gestures. With the transition from manually driven vehicles to automated vehicles (AVs), pedestrians could lose the ability to communicate their intention to the driver. This study investigated the use of hand gestures as a...
master thesis 2019
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