Modeling and Evaluating the Impact of Mobile Usage on Pedestrian Behavior at Signalized Intersections: A Machine Learning Perspective

Modeling and Evaluating the Impact of Mobile Usage on Pedestrian Behavior at Signalized Intersections: A Machine Learning Perspective

Pedestrian safety is a growing global concern, particularly in urban areas, where rapid urbanization and increased mobile device usage have led to an increase in distracted walking. This study investigates the impact of technological distractions, specifically mobile usage (MU), on pedestrian behavi...

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Bibliographic Details
Main Authors: Faizanul Haque, Farhan Ahmad Kidwai, Ishwor Thapa, Sufyan Ghani, Lincoln M. Mtapure
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Future Transportation
Subjects:
pedestrian safety
distraction
mobile usage
machine learning
violation behavior
Online Access:https://www.mdpi.com/2673-7590/5/1/11
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