Activity-based Traveler Agent Behavioural Model for Mixed Traffic Flow

The modeling of traveler’s daily travel behaviours in mixed traffic system is a complex problem, mainly due to the complex nature of travel behaviours and the situations in mixed traffic flow. This paper explores an Activity-Based Traveler Agent behavioural Model (ATAM) for mixed traffic flow, combining the ideas of activity-based traffic demand model, the hierarchical structure in behaviours, agent approach and subjective utility optimisation method. In the case study, A-TAM has been applied to model cyclists’ behaviour at unsignalised intersections under mixed traffic flow conditions, and the validation results of the cyclists’ model which proved A-TAM promising.