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Dynameq is software for multiscale traffic simulation. It 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. High-performance animations provide a 3D visualization and analysis framework that can be used for clear, detailed and intuitive presentations to both technical and non-technical audiences.
Dynameq traffic simulation is applicable to a wide range of operational and travel forecasting applications, is scalable across wide-area urban networks and provides comprehensive vehicle-level detail throughout the model. Dynameq is based on peer-reviewed research and state-of-the-art computational innovation.
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 what is happening, wherever it matters. There is no need to resort to hybrid approaches in order to ensure model stability and fast run times. There are no boundaries to define between separate micro and meso areas of your network, nor concerns about how the choice of those boundaries may impact model results.
When you want to run demand scenarios reaching out ten, twenty, or thirty years, the adaptive traffic simulation in Dynameq keeps the traffic in your model moving, virtually guaranteeing stable, converged results even in highly congested scenarios and without sacrificing model detail. The adaptive traffic simulation also provides new simulation outputs which identify critical bottlenecks to facilitate calibration and analysis.
Dynameq traffic simulation moves individual vehicles on lanes, with car following, lane changing and gap acceptance models and explicit signal control. This is the only way to capture the true causes of congestion – the crossing and merging of vehicle trajectories, turn pockets that overflow, late merging and queue jumping – which are part of the real traffic environment and which have a major impact on actual traffic conditions and travel costs. Modeling these complex traffic phenomena naturally leads to realistic emergent capacities and throughputs.
Dynameq is extensively multithreaded for up to 4x speedup on a typical DTA run, and is optimized both for lower RAM requirements and faster run times. A Dynameq model of the entire city of San Francisco, including all vehicle road classifications and ~620,000 vehicles of demand, runs to dynamic user equilibrium in 50 iterations in less than 4 hours and under 14GB of RAM.
High-performance 3D animations illustrate detailed vehicle trajectories and traffic signal states, permitting visualization at the individual vehicle level across the entire model area. Quickly select or screenline vehicles. Use random access to instantly access any moment in time and to fast-forward, rewind or reproduce the animation at any speed.
Dynameq dynamic user equilibrium (DUE) routing reflects how real drivers make decisions based on day-to-day learning and experienced travel times: by anticipating congestion on alternative routes. Drivers make predictive route choices, rather than just reacting to congestion in real time as it occurs, ensuring reliable route choices even when modelling wide-area impacts due to bridge closures and freeway reconstruction. And with multiscale traffic simulation Dynameq produces a better DTA, providing greater precision for scenario comparisons and improved stability for travel forecasting applications.
Dynameq helps you streamline the process of preparing your network. Smart logic and intelligent defaults drastically reduce the effort required to code large networks. Extensive network validation procedures identify potential errors even before a first model run. Add time-varying network events to define time-dependent lane closures, turn alignments and class permissions or time-of-day tolls. Get started quickly from Emme including OpenStreetMap imports. Or import from GIS networks or other formats including Synchro, Saturn, Visum and others.
Dynameq provides a generalized-cost assignment which makes it easy to create fixed or time-of-day tolls by vehicle class. Python APIs provide the flexibility to model a variety of congestion-responsive toll schemes, including HOT lanes.
Dynameq explicitly models transit-actuated signal priority and pre-emption using early/late green and phase insertion logic. And more actuated control features are on the way.
Use Dynameq's signal plan generator to produce signals for future scenarios or to fill in information missing from existing signal plans. The signal plan generator can design phases, compute timing parameters and define and synchronize corridors. The timing parameters and offsets can also be computed for existing phases and corridors.
Dynameq includes lots of other desktop features and productivity tools designed to keep your project moving:
Worksheets. View network details and simulation results on links, lanes, nodes, movements, turns and paths.
Editor. An Intuitive editing interface with lots of productivity boosters.
Charting. Built-in histograms, scatterplots and time-series to visualize and analyze network data and results.
Select-link and path analysis. Gain insight into route choices.
Python API. Comprehensive Python API for automation.
Subarea, traversal and network merge. Cut out subareas, generate dynamic traversal demand or merge scenarios together for large-scale models.
Speed contour plots. Generate high-resolution speed contour plots on corridors from detailed vehicle trajectories.
Basemaps. Add context to maps and 3D scenes with responsive basemaps. Choose from world imagery, world street, topographic, transportation or OpenStreetMap layers.
Operational Modeling Applications. Dynameq is an ideal choice for a range of operational model applications and evaluations including congestion relief strategies, corridor and lane management, construction mitigation, transit design including transit signal priority schemes, traffic impact studies, emissions modelling, event planning and much more.
Travel Forecasting Applications. The improved stability, reliability and computational efficiency of Dynameq simulation-based dynamic traffic assignment provides a strong foundation for integrated DTA and travel forecasting applications. Please contact us to learn more.
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