November 26, 2017

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...

November 26, 2017

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...

November 26, 2017

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...

November 26, 2017

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...

November 26, 2017

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...

November 26, 2017

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...

November 26, 2017

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

November 26, 2017

DynusT models various intersection signal controls, ramp meters, and dynamic message signs. 

  • Signals: Pre-timed, actuated, pre-timed coordination, stop signs, yields

  • Ramp meteringFixed, adaptive

  • Dynamic message signs: Congestion warning, mandatory detour...

November 26, 2017

The DynusT research team developed a a two-stage model to calibrate the time-varying origin-destination (OD) matrices.  The first-stage is to estimate O-D trip rates by minimizing link demand deviation with a one-norm formulation approach, aiming to efficiently match t...

November 26, 2017

DynusT vehicular traffic simulation is based on the Anisotropic Mesoscopic Simulation (AMS) invented by Professor Yi-Chang Chiu. The AMS model is micro-like because vehicles are assumed to be moving forward based on the density in the individual vehicles's look-ahead s...

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