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DYNAMEQ CONNECT Edition 2022 (4.5.0.11) Win x64
DYNAMEQ CONNECT Edition 2022 (4.5.0.11) | 588.9 mb'
Product:DYNAMEQ
Version:CONNECT Edition 2022 (4.5.0.11)
Supported Architectures:x64
Website Home Page :www.bentley.com
Languages Supported:english
System Requirements:Windows *
Size:588.9 mb
The INRO development team, a part of Bentley Systems, is pleased to announce the availability of DYNAMEQ CONNECT Edition 2022 (4.5.0.11). This software provides an advanced vehicle-based traffic simulation and simulation-based dynamic traffic assignment (DTA) that allows even large, congested applications to be modelled reliably within a single traffic model and at a consistent level of detail throughout the entire network.
Release Notes: DYNAMEQ 4.5.0
DYNAMEQ 4.5.0 is the first CONNECT Edition of DYNAMEQ (DYNAMEQ CE). CONNECT Editions use Bentley's Subscription Entitlement Service (SES) for product licensing and activation. CONNECT Editions also include Bentley's CONNECTION Client, which is a Cloud Services Client that provides runtime components required for applications to access Bentley Cloud Services.
Export trajectories from Animation window
The Data tab in the Animation window now includes an Export Trajectories button. This button becomes active once vehicle trajectory data has been loaded in the Animation window.
Note: Since the trajectories represent a large amount of data, it is recommended to start with a relatively small set of trajectories, for example, just a few minutes worth for a subarea of the network, to get a feel for the file size that will be generated.
Trajectories may be exported in one of two formats (Lat/Long + Azimuth and XYZ + Front/Rear) using a specified timestep resolution level. The larger the timestep, the lower the resolution. The recommended timestep to obtain a good level of visual resolution is 0.1 s. The file containing the exported trajectories is written to the following sub-folder of the Dynameq project folder: Animation / scenario / dta.
For more on exporting vehicle trajectories, refer to the Exporting trajectories in the Dynameq User's Manual (User's Manual → Viewing the Results of a DTA → Vehicle trajectories → Simulation animation → Layers → Vehicles).
DYNAMEQ project dimensions
DYNAMEQ CONNECT Editions, and supported pre-CONNECT Editions when run via LLU, now allow access to maximum dimensions on all projects.
Dynameqis a vehicle-based traffic simulation and dynamic traffic assignment (DTA) that combines mesoscopic and microscopic properties to create traffic simulation fit for planning your city. Dynameq provides scalability from a single congested corridor to an entire city, all without losing detail. Vehicle trajectories over the entire network provide the transparency needed to understand exactly what is happening in the network, wherever and whenever it matters.
DYNAMEQ for CUBE users
DYNAMEQ is now available alongside CUBE within the Bentley Mobility Simulation product portfolio. From CUBE Voyager it's easy to get started with DYNAMEQ for dynamic traffic assignment (DTA) so why not use it on your next study.
Bentley Systems, Incorporatedis the global leader dedicated to providing architects, engineers, constructors, and owner-operators with comprehensive architecture and engineering software solutions for sustaining infrastructure. Founded in 1984, Bentley has nearly 3,000 colleagues in more than 45 countries, $500 million in annual revenues, and, since 2001, has invested more than $1 billion in research, development, and acquisitions.
EXTON, Pa.-(BUSINESS WIRE)-Apr. 14, 2021- Bentley Systems, Incorporated (Nasdaq: BSY), the infrastructure engineering software company, today announced the acquisition of INRO Software, a global leader in multimodal transportation planning, traffic simulation, and mobility visualization software. The acquisition expands Bentley's capabilities in the important growth area of mobility digital twins, just as countries including the U.S. are poised to make a generational investment in infrastructure, and as transportation systems must evolve faster to accommodate both urbanization and carbon reduction goals, and the transition to electric and autonomous vehicles.
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