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- Title
基于驾驶员脑电微状态分析的草原公路交叉口 交通设施组合研究.
- Authors
屈冉; 苏杭; 李航天; 戚春华
- Abstract
In order to solve the existing problem of the combination of traffic signs at typical grassland highway intersections, the combination setting of intersection traffic engineering facilities was optimized. Through simulation experiments, the electroencephalogram (EEG) signals of 40 drivers were collected, clustered into 5 (MS1—MS5) microstate topographic maps, and the reaction time and duration, coverage, frequency of occurrence and conversion probability of the drivers were statistically analyzed. The experimental results showed that the default network and the dorsal attention network in the driver's EEG microstate played a major role in the cognitive process of the combination of traffic facilities at the grassland highway intersection. The duration of MS4 and the conversion probability of MS1—MS3 increased with the increase of transportation facilities, which can be used as direct indicators to evaluate driver's cognitive load. Microstate indicators and reaction time trend analysis found that at the information level C, that was, the combination of four traffic engineering facilities, the driver's brain state had the best performance, the strongest cognitive ability, the smaller load and the fastest response.
- Subjects
TRAFFIC engineering; GRASSLANDS; ROADS; FACILITIES
- Publication
Forest Engineering, 2024, Vol 40, Issue 2, p207
- ISSN
1006-8023
- Publication type
Article
- DOI
10.3969/j.issn.1006-8023.2024.01.024