C-TAP: Continous Target Based Planning
Project details
Duration
10.2012-09.2015
Sponsor
SNSF Swiss National Science Foundation
Staff
Professor Kay W. Axhausen and M. Janzen
Partner
ILS Verkehrssystemplanung und Verkehrstelematik, TU Berlin
Summary
Travel demand generation has a very important role in transport modeling as it represents the part of a simulation that fills the system with life. In microscopic models, one has the advantage that travel demand can be generated in a intuitive way: People are modeled directly as agents and consequently, the behavior of these can be modeled on an individual basis. Current large-scale agent-based integrated demand models belong to the class of random utility models and use a utility maximization scheme to generate complete activity plans for each agent. These plans are then used in traffic flow simulations. The results from the traffic flow simulation include congestion patterns and time-of-day-dependent travel times. The basic logic behind the utility maximization procedure employed is to assume that agents' behavior is completely rational and globally optimal. As a result, these models can be used to compute the stochastic user equilibrium (SUE). Read more