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...

• Hlavní autor: Ajala Ramos, Santiago Alexander (author)
• Médium: bachelorThesis
• Jazyk: eng
• Vydáno: 2024
• Témata: Patrones de actividad; Aprendizaje automático; Redes neuronales artificiales; Activity pattern; Machine learning; Artificial neural network
• On-line přístup: http://repositorio.yachaytech.edu.ec/handle/123456789/851