DynusT incorporates a breakthrough methodology to enable Dynamic User Equilibrium (DUE) assignments with variable Value-of-Times (VoT), for each vehicle in the system. This feature allows users to incorporate a continuous VOT distribution in evaluating static or dynami...

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

Breakthrough in dynamic traffic assignment with individual Value-of-Time

Version 3.0 incorporates a breakthrough enabling DynusT to perform Dynamic User Equilibr...

Legislation over the past few years has placed additional emphasis on a variety of areas including Sustainability, Management and Operations (M&O), Intelligent Transportation System (ITS) technology applications, Climate Adaptation and Mitigation, and Planning for Oper...

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

Through the DynusT/DynuStudio V2.0 platform, agencies and planners can empl...

DynusT is the best DTA model in the marketplace because:

• DynusT uses the micro-like Anisotropic Mesoscopic Simulation (AMS) model to produce traffic flow dynamics similar to microscopic models, but at 1000 times the speed. 
   

• DynusT software was implement...

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 is the most widely used DTA model with more than 200 projects/publications by users worldwide due to its superior traffic simulat...

DynusT (Dynamic Urban Systems for Transportation) is a simulation-based dynamic traffic assignment (DTA) model with a 15 years development history that can support engineers and planners to address emerging transportation planning and operation challenges. DynusT users...

DynuStudio® is the latest graphical and data management system based on more than 10 years of development to fully support DynusT mesoscopic dynamic traffic assignment (DTA) model. With DynuStudio®, users can convert GIS based planning networks to DynusT, edit networks...

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

Demand - the demand category data is primarily the time-vary origin-destination (O-D) matrices, that is generally put into an hourly interval (can...

See the above chart for details. DynusT/DynuStudio takes roughly 20Gb of data per scenario.