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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Bibliografske podrobnosti
Glavni avtor: Ajala Ramos, Santiago Alexander (author)
Format: bachelorThesis
Jezik:eng
Izdano: 2024
Teme:
Online dostop:http://repositorio.yachaytech.edu.ec/handle/123456789/851
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