Comprehensive Analysis of Dynamic Message Sign Impact on Driver Behavior: A Random Forest Approach

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...

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Bibliographic Details
Main Authors: Snehanshu Banerjee, Mansoureh Jeihani, Danny D. Brown, Samira Ahangari
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Urban Science
Subjects:
driving simulator
random forest
diversion
route choice
compliance
colorblind
Online Access:https://www.mdpi.com/2413-8851/4/4/49

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https://www.mdpi.com/2413-8851/4/4/49

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