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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.
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.