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A Quantification of the Operation of ADAS while Driving and the Potential Associated Risks : Assessing the probability of distraction

Ven, B.A.A. van de (2024) A Quantification of the Operation of ADAS while Driving and the Potential Associated Risks : Assessing the probability of distraction.

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Abstract:The rapidly increasing prevalence and use of Advanced Driver Assistance Systems (ADAS) results in growing attention on how users interact with these different systems. Research in the human factor area of ADAS becomes more and more pressing with this increase in use, and it is important to focus on the users’ perspective and their behaviour regarding ADAS usage on the road. This study aims to quantify the operation of ADAS (e.g., turning the systems on/off or adjusting settings) in the Netherlands and assess the associated risk. Previous research namely suggests that operating ADAS can lead to distractions, which can decrease road safety. A questionnaire was conducted, involving 212 participants, to gain prevalence data on the operation of six different ADAS in the Netherlands, including Adaptive Cruise Control (ACC), Lane Keeping Assistance (LKA), Blind Spot Warning (BSW), Forward Collision Warning (FCW), Indirect Driver Monitoring System (IDMS), and Intelligent Speed Assistance (ISA). Next to quantifying this data, statistical models (Generalized Linear Mixed Models (GLMM)) were fitted to the data to assess the potential associated risk. The results show that ACC and LKA are operated to the highest extent, and the operation of some ADAS (e.g. IDMS, LKA, FCW, BSW) happens quite frequently on the dashboard screen. If all cars on the road have these systems, 1 out of 2 drivers could likely get distracted by the operation of ADAS. Regarding the severity of this distracting task, this study found that drivers spend around 0.1% of their driving time on the operation (also in case all cars on the road have the systems in their car). Those results mainly raise concerns about the design of ADAS operations and future research is recommended to address those human­machine interaction issues to understand and mitigate distractions while operating ADAS.
Item Type:Essay (Master)
Clients:
Goudappel, Deventer, Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:55 traffic technology, transport technology, 77 psychology
Programme:Psychology MSc (66604)
Link to this item:https://purl.utwente.nl/essays/99140
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