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Title:

Effectiveness of Diagrammatic Guide Signs on Eye Movements and Driver Behavior

Accession Number:

01660293

Record Type:

Component

Abstract:

Many complex diagrammatic guide signs (DGS) are widely used in China. The cognitive level of drivers to different complexity’s DGS has direct impact on the effectiveness of drivers’ routing and driving security. In order to study the influence of different complex DGS on drivers 'cognition, four kinds of diagrammatic guide signs widely used in urban expressway of Beijing were tested, which are designed and simulated by virtual scenes. In this research, a driving simulator was used to collect the data of driver’s behaviors. Meanwhile, an eye tracker was applied to acquire the eye-movement’s data. The study has revealed that diagrammatic guide signs in different complexity have remarkable influence on the eye movements, such as the number of fixation times, total saccade count and the total fixation time. Besides, the standard deviation of mean speed, average acceleration and throttle point change distance have significant difference for the different complexity signs. What’s more, the driver behavior has a close relation to the eye movements by using the Grey Relational Analysis. This research not only presents the influence of the diagrammatic guide signs on driver behavior and eye movements, but also establishes a influence relation of different DGS. It offers a foundation for further analysis of cognitive characteristics of signs.

Supplemental Notes:

This paper was sponsored by TRB committee AHB50 Standing Committee on Traffic Control Devices.

Report/Paper Numbers:

18-04663

Language:

English

Authors:

Xu, Yachen
Zhao, Xiaohua
Huang, Lihua
Li, Zhenlong

Pagination:

5p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Subject Areas:

Highways; Operations and Traffic Management; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-04663

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:08AM