Comprehensive Analysis of Dynamic Message Sign Impact on Driver Behavior: A Random Forest Approach
This study investigates the potential effect(s) of different dynamic message signs (DMSs) on driver behavior using a full-scale high-fidelity driving simulator. Different DMSs are categorized by their content, structure, and type of messages. A random forest algorithm is used for three separate beha...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
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Series: | Urban Science |
Subjects: | |
Online Access: | https://www.mdpi.com/2413-8851/4/4/49 |