Capacity estimation of an intelligent Turbo-roundabout: Development of a microscopic traffic simulation in VISSIM

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...

Shift Happens!: A Stated Choice Experiment to measure the influence of private Automated Cars on train usage

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...

Automated car interior layout design based on user activities

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...

Exploring Motion Sickness Mitigation in Self-Driving Vehicles with Anticipatory Interfaces: Flashing and Zooming over the Road: Anticipatory Interfaces Mitigate Motion Sickness

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...

Automated Lane Keep Assist System: A study on the formation and evolution of the mental model of the user of ALKS

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...

Promoting Road Safety Between Automated Vehicles and Cyclists

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...

Design of Control Transfer Rituals for Automated Vehicles

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...

Bio-inspired intent communication for automated vehicles

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....

Does personality affect responses to auditory take-over requests? Validating a simulator experiment setup through a N=1-study

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,...

Safe Reinforcement Learning for Automated Vehicles

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...

How Human-Machine Interaction keeps pace with Automated Vehicles: A systematic review

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...

Hand gestures as a form of communicating crossing intent from pedestrians to Automated Vehicles

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...

The Mobility-Livability Revolution: Engaging Automated Vehicles to Improve Amsterdam's City Centre

The city of Amsterdam has been growing and it continues to grow. While both the amount of visitors and the amount of residents continues to grow, the amount of public space stays approximately the same. This has led to an increasing pressure on livability, accessibility, and public space. Pedestrians, cyclists, and drivers alike often face the...

Maneuvering of Automated Vehicles in an Unsignalized Intersection: A Distributed Control Strategy