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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Bibliografiset tiedot
Päätekijä: Ajala Ramos, Santiago Alexander (author)
Aineistotyyppi: bachelorThesis
Kieli:eng
Julkaistu: 2024
Aiheet:
Linkit:http://repositorio.yachaytech.edu.ec/handle/123456789/851
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