Relationship between Information Quantity of Bicycle Guide Signs and Cognition
The concept of green traffic has gradually come into acceptance, and the emergence of shared bicycles has increased the proportion of bicycle travel, but studies of bicycle system guide signs are few. This study looks at signs with differing quantities information and uses 3D virtual reality software UC-Win/Road to develop a complete urban road model. The software simulated the riding process and collected visual time data. Experimental data were excluded, and a non-parametric test was used to determine the effect of gender on time of cognition. A mathematical model of information entries and recognition was established. Finally, a limit on information on bicycle guiding signs was obtained through model analysis.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784481523
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Supplemental Notes:
- © 2018 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Peng, Hui
- Shao, Tingting
- Pei, Yan
- Hu, Zhanghao
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Conference:
- 18th COTA International Conference of Transportation Professionals
- Location: Beijing , China
- Date: 2018-7-5 to 2018-7-8
- Publication Date: 2018-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 695-702
- Monograph Title: CICTP 2018: Intelligence, Connectivity, and Mobility
Subject/Index Terms
- TRT Terms: Bicycling; Cognition; Gender; Guide signs; Virtual reality
- Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors;
Filing Info
- Accession Number: 01868103
- Record Type: Publication
- ISBN: 9780784481523
- Files: TRIS, ASCE
- Created Date: Dec 21 2022 9:16AM