Combining a traffic microsimulation model with a fully featured free space agent model allows Paramics to accurately reproduce a wide range of scenarios. Paramics can be used to model vehicle and agent interaction or it can be used to model each component separately with no dependency on the other
Integrating pedestrians and vehicles in and around public transport terminals is an every task for traffic engineers and urban planners; Paramics allows both these modes of transport to be evaluated in a single environment.
The floor plan of the terminal can be recreated allowing Paramics to examine transfer times between, or exit/entry delays to, public transport terminals. Paramics can also be used to assess safety issues for kerbside drop off points and dynamic signalling strategies allowing high volumes of pedestrians to be processed safely through the study during peak commuting hours.
Integrating pedestrian and traffic components lets the user test alternative scenarios. For example, having a buffer period between pedestrian and vehicular traffic leaving the study area or temporarily allocating a section of road network to the pedestrian crowd allowing a faster and safer exit from the study area.
The car is no longer king, people want to reclaim their streets and urban areas to use and enjoy. A growing trend throughout Europe and more recently in North America is to consider pedestrians as a primary mode of transportation; people can get there under their own steam and are increasingly happy to do so.
All of the detailed agent and spatial analytics tools provide in Paramics operate at run time so there is no need for time consuming post processing of data; in Paramics all the key metrics you need are available whenever you need them.
The Agent Metrics tool allows us to colour code agents based on Level of Service (LOS) style bandings; default LOS bandings based on Fruin’s methodology for the HCM are provided in all analytics tools in Paramics.
Spatial Metrics tools record the footsteps of each agent as they move through the free space recording the agent's "experience" and how the space dictates their quality of service. The Spatial Metrics Tool can be used to create coloured maps of complex spatial data including agent speed, density, delay, and space utilisation each of which can be used to examine causality for collisions and Level of Service for pedestrian movement.
The Region Metrics Tool allows the user to define data collection regions of any shape and record the flow/count in and out of that region aggregated by a user definable time period while Connector Metrics allows us to query key agent metrics such as speed, travel time, flow/count and delay sampled between waypoints as each agent makes their way through the agent space. As with all Paramics analytics tools comprehensive graphics and reporting options are provided to maximise the value users can get from this tool.