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Characteristic Analysis on Drivers` Glance Durations with Different Running Speeds on the Expressway
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 Title & Authors
Characteristic Analysis on Drivers` Glance Durations with Different Running Speeds on the Expressway
Sim, Hyeon-Jeong; Do, Myung-sik; Chong, Kyu-soo;
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 Abstract
Drivers can receive diverse types of traffic information through a number of methods. However, there are not enough information services considering human factors. In this study, as a basic research on human factors of the drivers, characteristic analysis on drivers` mean glance (fixation) durations with different running speeds on the expressway was performed under diverse running environments. To control variables other than running speeds, running environments were categorized into 4 types: `daytime running without preceding vehicles`, `daytime running with preceding vehicles`, `nighttime running without preceding vehicles`, and `nighttime running with preceding vehicles`. Furthermore, ANOVA Test was used to divide speed groups. As a result of performing a multiple comparison to compare differences in glance behavior per each group, the road item and the preceding vehicles item showed an increase in mean glance durations as the speed increased, while the front view showed a decrease in mean glance durations. It was confirmed that the road sign showed no statistically significant difference in glance durations as the speed varied.
 Keywords
driver`s glance behavior;ANOVA Test;driver`s human factor;TalkEye Lite;running speed;
 Language
Korean
 Cited by
 References
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