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Transportation Letters
The International Journal of Transportation Research
Volume 11, 2019 - Issue 10
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Articles

Effects of roadway factors and demographic characteristics on drivers’ perceived complexity of simulated roadway videos

F. Atiyya ShawSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8717-5118View further author information
ORCID Icon,
Aaron T. GreenwoodSchool of Civil and Environmental Engineering, University of Texas, Brownsville, TXView further author information
,
JongIn BaeSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GAView further author information
,
Gregory M. CorsoDepartment of Psychology, Morehead State University, Morehead, KYView further author information
,
Michael O. RodgersSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GAView further author information
&
Michael P. HunterSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GAView further author information
Pages 589-598 | Published online: 09 Jul 2018

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Yilun Xing, Sami Park, Kumar Akash, Teruhisa Misu & Linda Ng Boyle. (2023) The Impact of Environmental Features on Drivers’ Situation Awareness Using Real-World Driving Scenarios. International Journal of Human–Computer Interaction 39:16, pages 3203-3212.
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Weixin Hua, Xuesong Feng, Chuanchen Ding & Zejing Ruan. (2021) Bayesian network modeling analyzes of perceived urban rail transfer time. Transportation Letters 13:7, pages 514-521.
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Articles from other publishers (1)

Hao Tan & Yuyue Hao. (2023) How does people's trust in automated vehicles change after automation errors occur? An empirical study on dynamic trust in automated driving. Human Factors and Ergonomics in Manufacturing & Service Industries.
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