The road choice behavior of travelers is closely related to their activity planning and location choice. This approach has led to the increasing development of multi-agent and activity-oriented modeling. This work attempts to model travelers’ dynamic departure time/route/destination choice behavior in a queuing network. In this respect, we propose an activity-based predictive dynamic traffic as...

Dynamic road traffic assignment models can be used explicitly to represent and analyse route choice and travel times in networks for which the demand for travel varies over time and congestion arises. Static models cannot represent this phenomenon in a satisfactory manner. Despite the long-term research activity and the several approaches that have been introduced, no dominant approach has emer...

Intelligent Transportation Systems (ITS) have received a great deal of attention in overcoming traffic-associated problems by implementing online traffic management, which inevitably depends on the accurate dynamic traffic demand. Dynamic Traffic Demand is a fundamental input for simulation-based Dynamic Traffic Assignment (DTA) models to describe and predict traffic conditions on the network o...