A MICROSIMULATION MODEL OF ACTIVITY PATTERNS

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.

Autorentext
Ondrej Pribyl graduated in the field of transportation planning at the PennState University in USA. His main research interest is in the area of artificial intelligence, data analysis and modeling, and study of travel behavior. Nowadays he teaches at the faculty of transportation sciences at the Czech technical University in Prague.

Klappentext
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.