Estimating driver workload with systematically varying traffic complexity using machine learning: Experimental design

Udara E. Manawadu*, Takahiro Kawano, Shingo Murata, Mitsuhiro Kamezaki, Shigeki Sugano

*この研究の対応する著者

研究成果: Conference contribution

11 被引用数 (Scopus)

抄録

Traffic complexity is one of the factors affecting driver workload. In order to study the relationship between traffic complexity levels and workload, a designed experiment is required, especially to vary traffic flow parameters systematically in a simulated environment. This paper describes the experimental design of a simulator study for developing a computational model to estimate the behavior of driver workload based on traffic complexity. Driving simulators allow creating and testing different traffic scenarios and manipulating independent variables to improve the quality of data, as compared to real world experiments. Physiological responses such as heart rate, skin conductance, and pupil size have been found to be related to workload. By adapting a data-driven method, we integrated electrocardiography sensors, electro-dermal activity sensors, and eye-tracker to acquire driver physiological signals and gaze information. Preliminary results show a positive correlation between traffic complexity levels and corresponding physiological responses, performance, and subjective measures.

本文言語English
ホスト出版物のタイトルIntelligent Human Systems Integration - Proceedings of the 1st International Conference on Intelligent Human Systems Integration IHSI 2018
ホスト出版物のサブタイトルIntegrating People and Intelligent Systems
出版社Springer-Verlag
ページ106-111
ページ数6
ISBN(印刷版)9783319738871
DOI
出版ステータスPublished - 2018 1月 1
イベント1st International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, IHSI 2018 - Dubai, United Arab Emirates
継続期間: 2018 1月 72018 1月 9

出版物シリーズ

名前Advances in Intelligent Systems and Computing
722
ISSN(印刷版)2194-5357

Other

Other1st International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, IHSI 2018
国/地域United Arab Emirates
CityDubai
Period18/1/718/1/9

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

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