Specific attention to vulnerable drivers makes crucial demands on adaptive design for driving support systems in the early stages of VANETs. This study aims to investigate the relative driving difficulties associated with diagnosed rheumatic diseases subjective symptoms and the use of some medications based on self-reported questionnaires. The survey offers a bridge between medical studies on physical impairments and driving safety for the specific driver group. To further understand the preference heterogeneity of vulnerable drivers, a latent class model for user sensitivity and perception on an adaptive drowsiness detection system was estimated.
Supporting vulnerable drivers with rheumatism
2017-06-01
335492 byte
Conference paper
Electronic Resource
English
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