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2. eHMI on the Vehicle or on the Infrastructure? A Driving Simulator Study.

Author

Lingam, Shiva Nischal, de Winter, Joost, Yongqi Dong, Tsapi, Anastasia, van Arem, Bart, and Farah, Haneen

Subjects
AUTOMOBILE driving simulators, VIRTUAL reality, AUTONOMOUS vehicles, BRAKE systems, INTENTION
Abstract

Automated vehicles (AVs) may require the implementation of an external human-machine interface (eHMI) to communicate their intentions to human-driven vehicles. The optimal placement of the eHMI, either on the AV itself or as part of the road infrastructure, remains undetermined. The current driving simulator study investigated the effect of eHMI positioning on human driving behaviour, during the approach and execution of right turns at Tintersections. Forty-three participants drove under three conditions: absence of eHMI, eHMI on the AV (eHMIv), and eHMI integrated into the infrastructure (eHMIi). Participants encountered AVs that either yielded or did not yield to their vehicles. The results regarding the placement of the eHMI showed that both concepts are advantageous, but for different reasons. eHMIv was appreciated because implicit and explicit communication are congruent, although the AV must first be visually identified to respond to it. eHMIi was appreciated because a familiar cue is always at a known location in the environment; as a result, participants braked earlier for the intersection and came less close to the AV (which can be interpreted as a safety advantage or an efficiency disadvantage). Although there are limitations to the current driving simulator study, this research provides important insights into the fundamental question of how information placement affects drivers’ visual attention demands and driving behaviour, topics that are important in view of the development of future cities. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Behavioral adaptations of human drivers interacting with automated vehicles

Author

Soni, Shubham (author), Reddy, N. (author), Tsapi, Anastasia (author), van Arem, B. (author), Farah, H. (author), Soni, Shubham (author), Reddy, N. (author), Tsapi, Anastasia (author), van Arem, B. (author), and Farah, H. (author)

Abstract

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 18 participants focusing on gap acceptance, car-following, and overtaking behaviors to understand such behavioral adaptations. The participants were asked to drive their vehicles in a controlled environment, interacting with an HDV and a Wizard of Oz AV. The effects of positive and negative information regarding AV behavior on the participants’ driving behavior and their trust in AVs were also studied. The results show that human drivers adopted significantly smaller critical gaps when interacting with the approaching AV as compared to when interacting with the approaching HDV. Drivers also maintained a significantly shorter headway after overtaking the AV in comparison to overtaking the HDV. Positive information about the behavior of the AV led to closer interactions in comparison to HDVs. Additionally, drivers showed higher trust in the interacting AV when they were provided with positive information regarding the AV in comparison to scenarios where no information was provided. These findings suggest the potential exploitation of AV technology by HDV drivers., Transport and Planning

Published
2022
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6. Advanced Driver Assistence Systems (ADAS) in rijopleiding en rijexamen

Author

Tsapi, Anastasia (author), Gorter, C.M. (author), Morsink, P (author), Hagenzieker, M.P. (author), Farah, H. (author), Claesen, R. (author), Tsapi, Anastasia (author), Gorter, C.M. (author), Morsink, P (author), Hagenzieker, M.P. (author), Farah, H. (author), and Claesen, R. (author)

Abstract

In Nederland is het ongevalsrisico voor beginnende automobilisten hoog. Advanced Driver Assistance Systems kunnen mogelijk bijdragen aan het verminderen van ongelukken onder beginnende bestuurders. Deze studie onderzocht de perceptie van leerling-bestuurders van Adaptive Cruise Control (ACC) en Blind Spot Detection (BSD) en de introductie hiervan in de rijopleiding en -examen. Gegevens zijn verzameld met een online enquête en persoonlijke interviews. Het BSD-systeem wordt beschouwd als een systeem dat de veiligheid verbetert, terwijl het ACC-systeem wordt beschouwd als een luxe-systeem, dat kan helpen bij constant en relaxed rijden. Daarom gaven leerling-bestuurders aan dat BSD in de rijopleiding geïmplementeerd moet worden., Transport and Planning

Published
2016

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