Date of Award

2026

Document Type

Thesis

Degree Name

Master of Science in Engineering (MSE)

Department

Civil Engineering

Committee Chair

Henrick Haule

Committee Member

Michael Anderson

Committee Member

Andrew Davis

Research Advisor

Henrick Haule

Subject(s)

Intelligent transportation systems, Motor vehicle drivers--Psychology, Traffic monitoring, Traffic safety--Research

Abstract

Dynamic Message Signs (DMS) are a part of Intelligent Transportation System networks to inform drivers of roadway conditions. Using surveys and driving simulation, DMS have been shown to positively influence driver behavior during recurring congestion and special roadway conditions, including work zones and traffic incidents; however, the messages on DMSs may vary widely as agencies could aim to display regulatory, warning, and/or guidance information. The lack of standardized guidelines creates uncertainty for agencies about which messages most effectively influence driver behavior. This study aimed to analyze the impact of various messages advising drivers to take actions regarding lane-change maneuvers. The research is based on segments with DMSs along Interstate 565 in Madison and Limestone counties in Alabama, leveraging lane usage and speed data collected from RADAR units. Analyzing the collected data indicates that lane-suggestion messaging does not have a statistically significant impact on drivers’ response towards that messaging on DMS.

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