Activity-based approaches to travel demand analysis have gained increasing attention over the past decades. This manuscript aims to propose an algorithm that belongs to this field. Its objective is to simulate individual’s daily activity-travel patterns, and to incorporate the interactions among members of particular household. This model uses several tools to simulate the activity patterns. A lot of effort has been dedicated to cluster analysis of activity patterns. The methodology has been studied and an approach that suits this problem is suggested. Decision trees, particularly the CHAID algorithm, are used to take into account the personal and household characteristics.

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