Title

Driver Behavior And Preferences For Changeable Message Signs And Variable Speed Limits In Reduced Visibility Conditions

Keywords

Changeable message signs; Driver behavior; Probit model; Reduced visibility; Variable speed limit

Abstract

This article investigates the factors affecting drivers' stated behavior in adverse visibility conditions and examines whether drivers rely on and follow advisory or warning messages displayed on portable changeable message signs (CMS) and/or variable speed limit (VSL) signs in different visibility and traffic conditions, and on two types of roadways: freeways and two-lane roads. A multiple-approach survey was designed to collect opinions and stated data from Central Florida drivers. Categorical data analysis techniques such as conditional distribution, odds ratio, and chi-squared tests were applied. In addition, two modeling approaches, bivariate and multivariate probit models, were estimated. The results revealed that gender, age, road type, visibility condition, and familiarity with VSL sign were the significant factors affecting the stated likelihood of reducing speed following CMS/VSL instructions in reduced visibility conditions. Other objectives of this study were to determine the content of messages that would achieve the best perceived safety and drivers' compliance and to examine the best way to improve safety during these adverse visibility conditions. The results indicated that respondents thought that "Caution-fog ahead-reduce speed" was the best message and that using that CMS and VSL signs together was the best way to improve safety during such inclement weather situations. Based on the findings of the present study, several recommendations are suggested as guidelines to improve safety in reduced visibility conditions. Copyright © Taylor and Francis Group, LLC.

Publication Date

10-11-2012

Publication Title

Journal of Intelligent Transportation Systems: Technology, Planning, and Operations

Volume

16

Issue

3

Number of Pages

132-146

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/15472450.2012.691842

Socpus ID

84867185592 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84867185592

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