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...

• Glavni avtor: Ajala Ramos, Santiago Alexander (author)
• Format: bachelorThesis
• Jezik: eng
• Izdano: 2024
• Teme: Patrones de actividad; Aprendizaje automático; Redes neuronales artificiales; Activity pattern; Machine learning; Artificial neural network
• Online dostop: http://repositorio.yachaytech.edu.ec/handle/123456789/851