Activity pattern generation using machine learning techniques for transport demand models

Activity pattern generation using machine learning techniques for transport demand models

Activity pattern generation is an essential component in activity-based demand modeling systems, which are fundamental for urban planning and efficient management of transportation systems. Traditionally, this generation has been performed using conventional techniques; however, with the advancement...

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Bibliographic Details
Main Author: Ajala Ramos, Santiago Alexander (author)
Format: bachelorThesis
Language:eng
Published: 2024
Subjects:
Patrones de actividad
Aprendizaje automático
Redes neuronales artificiales
Activity pattern
Machine learning
Artificial neural network
Online Access:http://repositorio.yachaytech.edu.ec/handle/123456789/851
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