Using Machine Learning to Predict Pedestrian Compliance at Crosswalks in Jordan

This study employs machine learning (ML) techniques to predict pedestrian compliance at crosswalks in urban settings in Jordan, aiming to enhance pedestrian safety and traffic management. Utilizing data from 2437 pedestrians at signalized intersections in Amman, Irbid, and Zarqa, four models based o...

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Bibliographic Details
Published in:Applied Sciences
Main Authors: Madhar M. Taamneh, Ahmad H. Alomari, Salah M. Taamneh
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Subjects:
pedestrian
machine learning
artificial neural network
support vector machine
decision tree
random forest
Online Access:https://www.mdpi.com/2076-3417/14/11/4945

Internet

https://www.mdpi.com/2076-3417/14/11/4945

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