Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition Behavior

Variable message signs (VMS) are widely employed to offer drivers dynamic traffic information. However, it is still lacking practical guidance about the information volume displayed on a graphical VMS. Building on the result of the subjective questionnaire survey, a static cognitive experiment was c...

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Main Authors: Yiping Wu, Zilong Zhao, Fuwei Wu, Jian Rong
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2022/7693492
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author Yiping Wu
Zilong Zhao
Fuwei Wu
Jian Rong
author_facet Yiping Wu
Zilong Zhao
Fuwei Wu
Jian Rong
author_sort Yiping Wu
collection DOAJ
description Variable message signs (VMS) are widely employed to offer drivers dynamic traffic information. However, it is still lacking practical guidance about the information volume displayed on a graphical VMS. Building on the result of the subjective questionnaire survey, a static cognitive experiment was conducted to analyze the influence of volume information (i.e., elements and displaying the number of roads) of graphical VMS on drivers’ visual cognition characteristics and then determine the threshold number of roads displayed on VMS. Forty-five drivers participated in the static cognitive experiment. Five indicators, including visual cognition time, cognition accuracy, comprehension accuracy, general assessment, and information acceptance, were used to estimate the influences of graphical VMS. Study results by descriptive statistics and statistical hypothesis testing indicated that drivers also preferred auxiliary elements (i.e., distance or time information) besides basic design elements (i.e., driving direction, current position, and road name) displayed on graphical VMS. With the increase in information volume, driver visual cognition time increased while other companion indexes (i.e., visual cognition accuracy and comprehension accuracy) generally worsened. Combining the data of drivers’ objective behavior and subjective scoring, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method revealed that the number of roads shown on the graphical VMS should be no greater than five. The study results were verified by dynamic simulation experiments. This finding provides a supplement for the design standards and usage specifications for VMS.
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spelling doaj-art-c6b0a89ffaa34e6fb7a7bb5c57a5cbc82025-02-03T00:59:37ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/7693492Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition BehaviorYiping Wu0Zilong Zhao1Fuwei Wu2Jian Rong3Beijing Engineering Research Center of Urban Transport Operation GuaranteeBeijing Engineering Research Center of Urban Transport Operation GuaranteeKey Laboratory of Transportation Industry of Automotive Transportation Safety Enhancement TechnologyBeijing Engineering Research Center of Urban Transport Operation GuaranteeVariable message signs (VMS) are widely employed to offer drivers dynamic traffic information. However, it is still lacking practical guidance about the information volume displayed on a graphical VMS. Building on the result of the subjective questionnaire survey, a static cognitive experiment was conducted to analyze the influence of volume information (i.e., elements and displaying the number of roads) of graphical VMS on drivers’ visual cognition characteristics and then determine the threshold number of roads displayed on VMS. Forty-five drivers participated in the static cognitive experiment. Five indicators, including visual cognition time, cognition accuracy, comprehension accuracy, general assessment, and information acceptance, were used to estimate the influences of graphical VMS. Study results by descriptive statistics and statistical hypothesis testing indicated that drivers also preferred auxiliary elements (i.e., distance or time information) besides basic design elements (i.e., driving direction, current position, and road name) displayed on graphical VMS. With the increase in information volume, driver visual cognition time increased while other companion indexes (i.e., visual cognition accuracy and comprehension accuracy) generally worsened. Combining the data of drivers’ objective behavior and subjective scoring, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method revealed that the number of roads shown on the graphical VMS should be no greater than five. The study results were verified by dynamic simulation experiments. This finding provides a supplement for the design standards and usage specifications for VMS.http://dx.doi.org/10.1155/2022/7693492
spellingShingle Yiping Wu
Zilong Zhao
Fuwei Wu
Jian Rong
Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition Behavior
Journal of Advanced Transportation
title Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition Behavior
title_full Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition Behavior
title_fullStr Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition Behavior
title_full_unstemmed Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition Behavior
title_short Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition Behavior
title_sort information volume threshold for graphical variable message signs based on drivers visual cognition behavior
url http://dx.doi.org/10.1155/2022/7693492
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AT zilongzhao informationvolumethresholdforgraphicalvariablemessagesignsbasedondriversvisualcognitionbehavior
AT fuweiwu informationvolumethresholdforgraphicalvariablemessagesignsbasedondriversvisualcognitionbehavior
AT jianrong informationvolumethresholdforgraphicalvariablemessagesignsbasedondriversvisualcognitionbehavior