Praetorius, Leonard (2020) An Integrative Model of Drivers’ Take-over Time in Semi-Automated Driving. Master's Thesis / Essay, Human-Machine Communication.
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Abstract
Introduction: The take-over process from autonomous to manual driving in semi-automated vehicles introduces a new critical moment for road safety. Although previous work has investigated extensively what factors affect the necessary time for a successful take-over by the driver, less is known about how specific stages within the take-over process are affected by those factors. Model: An interactive model was developed to investigate how specific factors as reported in the literature (e.g., alert modality, alert onset time) impact four distinct stages of the take-over process. The model uses a database based on previous studies, which can be used to integrate findings across studies. Using an interactive visual interface, the end-user can systematically comb through the database and compare results for different settings of these factors. Testing: The model was used to study the effect of different factors on the transition of control, which provided valuable insight in the take-over process. For example, the model showed that visual-auditory bi-modal alerts resulted in a faster initial response to the alert than purely visual or purely auditory alerts, and that the timing of the alert has a significant impact on the occurrence of last-second take-overs. Discussion: The model can help to reveal how different factors affect specific stages of the take-over process. This can aid in the design and testing of new interventions and policies.
| Item Type: | Thesis (Master's Thesis / Essay) |
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| Supervisor name: | Borst, J.P. |
| Degree programme: | Human-Machine Communication |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 19 Oct 2020 09:09 |
| Last Modified: | 19 Oct 2020 09:09 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/23501 |
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