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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yazar: Ajala Ramos, Santiago Alexander (author)
Materyal Türü: bachelorThesis
Dil:eng
Baskı/Yayın Bilgisi: 2024
Konular:
Online Erişim:http://repositorio.yachaytech.edu.ec/handle/123456789/851
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!