Error message

A DynusT overview document and DynuStudio tutorial videos to get you started


The Anisotropic Mesoscopic Simulation (AMS) model departs from previous models in that it is a vehicle-based mesoscopic traffic simulation approach that explicitly considers the anisotropic property of traffic flow into the vehicle state update at each simulation step.


The gap function vehicle-based (GFV) solution algorithm is a computationally efficient procedure for solving the simulation-based dynamic traffic assignment problem.


DynusT is the only simulation-based DTA model capable of performing mesoscopic simulation and assignment for large-scale, regional networks for long time periods (e.g. 24-hr or greater).

What is DynusT

Dynamic Urban Systems for Transportation

DynusT is a dynamic traffic simulation and assignment (DTA) software designed to support engineers and planners in addressing emerging issues in transportation planning and traffic operations. With DynusT, engineers and planners can estimate the evolution of system-wide traffic flow dynamics patterns resulted from individual drivers seeking the best routes to their destinations as traffic responds to changing network demand/supply conditions.

An objective of DynusT is aimed at integrating with travel demand models and microscopic simulation models, supporting application areas in which realistic traffic dynamic representation is needed for a large-scale regional or corridor network. Mesoscopic and microscopic models are complementary to each other, and with proper integration, both can jointly accomplish optimal modeling capabilities.

DynusT Benefits

Dynamic Traffic Assignment

Dynamic Traffic Assignment (DTA) models have become a viable modeling option. DTA models supplement existing travel forecasting models and microscopic traffic simulation models. Travel forecasting models represent the static regional travel analysis capability, whereas microscopic traffic simulation models are superior for dynamic corridor level travel analysis. DTA models fill in the gap by enabling dynamic traffic to be modeled at a range of scales from the corridor level to the regional with expanded and unique functional capabilities enabled by the DTA methodology.

Demand/Supply Interactions

The advantage of using a traffic simulation model such as DynusT is the ability to capture complex and dynamical interactions between various entities that are found in the real world. These entities can be generally characterized as “demand” and “supply”. The total number of travelers, the intended destinations, departure patterns, and the chosen routes determine the “desires” of travelers to request the service of the transportation system. On the “supply” side the network topology, capacity, configurations and traffic controls limits the amount of “available service” can be used by travelers.