Latest revision as of 21:49, 22 March 2021

Abstract

This study aims at investigating the effects of highway landscapes and alignments on drivers’ eye movement behavior and emergency reaction time, based on a driving simulator experiment. In this study, four simulation scenarios are evaluated including open space, semiopen space, semiclosed space, and enclosed space landscapes on highways in Yunnan Province, China. Twenty-four experienced drivers participated in a 6-kilometer driving experiment in each landscape scenario. Each subject was required to drive at 80 km/h in the scenarios and the driving behavior data were collected. Three different data analysis methods were employed: (1) descriptive analysis of the characteristics of drivers’ visual fixation area; (2) statistical tests of emergency reaction time with drivers’ demographic characteristics, highway landscapes, and alignments; and (3) multiple linear regression analysis of emergency reaction time, highway landscapes, and alignments. The results show that emergency reaction time is significantly influenced by highway landscapes and alignments, and the multiple linear regression model built in this experiment could accurately predict drivers’ emergency reaction time in different highway landscapes and alignments.

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The different versions of the original document can be found in:

• http://downloads.hindawi.com/journals/jat/2019/9897831.pdf under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.1155/2019/9897831 under the license cc-by

• http://downloads.hindawi.com/journals/jat/2019/9897831.pdf,

http://downloads.hindawi.com/journals/jat/2019/9897831.xml,

http://dx.doi.org/10.1155/2019/9897831 under the license http://creativecommons.org/licenses/by/4.0

• http://dx.doi.org/10.1155/2019/9897831,

https://doaj.org/toc/0197-6729,

https://doaj.org/toc/2042-3195 under the license http://creativecommons.org/licenses/by/4.0/

• https://www.hindawi.com/journals/jat/2019/9897831,

http://downloads.hindawi.com/journals/jat/2019/9897831.pdf,

https://academic.microsoft.com/#/detail/2946171773