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...

• 第一著者: Ajala Ramos, Santiago Alexander (author)
• フォーマット: bachelorThesis
• 言語: eng
• 出版事項: 2024
• 主題: Patrones de actividad; Aprendizaje automático; Redes neuronales artificiales; Activity pattern; Machine learning; Artificial neural network
• オンライン･アクセス: http://repositorio.yachaytech.edu.ec/handle/123456789/851