Quadstone Paramics is traffic modeling and simulation software used by transportation planners and engineers. It allows creating detailed microscopic traffic models to test infrastructure changes and impacts.
Traffic modeling and simulation software for transportation planners and engineers, creating detailed microscopic traffic models to test infrastructure changes and impacts.
What is Quadstone Paramics?
Quadstone Paramics is an advanced traffic modeling and simulation software used for a variety of transportation planning and traffic engineering applications. It allows users to create highly detailed microscopic traffic models to simulate the movement and behavior of individual vehicles as they travel through a road network.
Key features and capabilities of Quadstone Paramics include:
Advanced car-following, lane-changing, and gap acceptance models for realistic driver behavior
Detailed modeling of public transit operations, including buses, light rail, and heavy rail
Ability to simulate pedestrians, bicyclists, emergency vehicles with special rights-of-way
Support for evaluating impacts of infrastructure changes, traffic control measures, demand management strategies
Estimation of a wide range of performance metrics like delay, queue lengths, fuel consumption and vehicle emissions
Powerful 3D visualization for animations and dynamic analysis of traffic flows
Customizable programming interface and SDK for additional traffic logic and data output
Quadstone Paramics is used worldwide by transportation agencies, planning organizations, research institutions and consultancies for planning, design and operations analysis of urban and regional transportation networks.
Quadstone Paramics Features
Features
Microscopic traffic simulation
Detailed modeling of individual vehicles
Support for large, complex networks
Modeling of public transit systems
Pedestrian modeling
Emissions and environmental impact modeling
Analysis tools like queue length, density maps, etc.
Pricing
One-time Purchase
Subscription-Based
Pros
Very detailed and accurate models
Can test many what-if scenarios
Wide range of analysis capabilities
Industry standard software used worldwide
Cons
Steep learning curve
Requires large amounts of input data
Model building and calibration can be time consuming
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