{'fraction_non_alphanumeric': 0.01637852593266606, 'fraction_numerical': 0.01091901728844404, 'mean_word_length': 4.670103092783505, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Analysis of the attention distraction of inexperienced drivers using a fuzzy model – research results

Limiting the number and consequences of the traffic accidents is one of the most important goals of the EU policy for the road transport. Despite significant efforts in this area, the targets set for the 2010-2020 decade are unlikely to be achieved. This may be due to, inter alia, the increasing importance of the driver attention distraction as a factor contributing to their occurrence. In order to limit the effects of distraction, attempts are made to develop a method to detect such a state of a driver. The distraction of the driver affects the way he drives the vehicle. The authors in their earlier work conducted a research aimed at developing model for detecting states of distraction of the driver's attention, based on a change in the method of vehicle steering. The developed model uses fuzzy logic to detect distraction. This paper presents the results of this model's operation on a sample of 72 drivers, including 36 inexperienced drivers who were the main object of the tests.

