The ODME techniques attempt to improve the accuracy of a “seed” trip matrix based on information from fragmentary data such as traffic...

DynusT incorporates a breakthrough methodology to enable Dynamic User Equilibrium (DUE) assignments with variable Value-of-Times (VoT),...

We are excited to announce V3.0 which includes various exciting modeling breakthrough and new features. Breakthrough in dynamic traffic...

Legislation over the past few years has placed additional emphasis on a variety of areas including Sustainability, Management and...

In 2017, the University of Arizona restated DynusT’s proprietary software status and licensed DynusT to Metropia Inc. with the goal of...

DynusT is the best DTA model in the marketplace because: DynusT uses the micro-like Anisotropic Mesoscopic Simulation (AMS) model to...

The above map shows the sample footprints of DynusT as of 2016. More than 20 states and 50 models have been created by DynusT users....

DynusT (Dynamic Urban Systems for Transportation) is a simulation-based dynamic traffic assignment (DTA) model with a 15 years...

DynuStudio® is the latest graphical and data management system based on more than 10 years of development to fully support DynusT...

Generally, the input data for DynusT can be classified into four categories: Demand, Supply, Calibration, and Validation. Demand - the...