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Title:

Incorporating Saliency Map into Appraisal of Crossing Island Facilities: From Point of View of Drivers’ Visual Attention

Accession Number:

01476898

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

In this study, crossing island facilities are evaluated in conspicuity point of view. This paper provides an evaluation method to determine which kind of facilities can draw visual attention of driver easily with aid of saliency map. The visual scan experiment with the aid of eye tracking system was conducted to collect fixation percentage data. The evaluation method of crossing island facility was conducted based on image characteristics. The saliency-based model which based on model of visual attention built up by Ltti was set up and improved through the process of Gaussian pyramid creation, visual feature extraction and conspicuity map generation as well as the saliency map generation. Mean intensity of salient zone on the saliency map is selected as indicator to calculate fixation percentage of crossing island facility and the regression model is helpful for the evaluation of conspicuity of crossing island facility at pedestrian refuge island together with MATLAB and Photoshop.

Supplemental Notes:

This paper was sponsored by TRB committee ANF10 Pedestrians.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-1724

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Xu, Zhi
Zou, Zhe
Cao, Bohu
Gong, Xiangxing

Pagination:

17p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Visual attention

Subject Areas:

Highways; Pedestrians and Bicyclists; Safety and Human Factors; I83: Accidents and the Human Factor

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-1724

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:25PM