- complex traveler choice behavior locations of activities, travel frequency, automobile ownership and license holding, choice of destinations and activities; choice of mode, submode and route and the choice of when to travel.
- choice aggregation combine the effects of individual choice for such things as travel destination, time of day, cost and parking to provide aggregate representations.
- provide useful outputs : incorporation of information useful for subsequent analyses of land use, system performance, air quality emissions, financial feasibility and other issues.

click to enlarge Cube Voyager comes with a set of model templates allowing you to quickly make travel forecasting model streams. The Cube Voyager scripting language allows you to easily design and represent any model methodology. Models can be of any form and feedback looping and branching can be implemented wherever you choose.

Models built with Cube Voyager can be of many forms:
- Four-step models commonly used in urban areas: Cube Voyager includes easy-to-use templates for developing generation, distribution, mode choice and assignment structures
- Modified four-step with feedback: hybrids of four-step models designed to improve of the weaknesses of pure four-step models. Such modifications include car ownership models, combined mode and destination choice and iterative feedback for model equilibrium.
- Activity-based demand: Cube Voyager provides the flexibility to incorporate most of these techniques. It is simple to incorporate specifically designed modules for the analysis and estimation of activity patterns.
- Combined equilibrium models : Cube Voyager provides a complete scripting and equilibrium feedback language allowing models of this form to be implemented.

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