Pedestrian Dynamics 3.1 now available!
12 june 2017
INCONTROL is proud to announce the release of Pedestrian Dynamics 3.1 crowd simulation software!
In close collaboration with our professional – and academic user community we significantly improved the crowd simulation software, Pedestrian Dynamics. To meet our customers’ needs we focus on increasing the user-friendliness of the software.
The new version enables to:
- Do a more detailed analysis with additional output statistics
- Develop railway station models quicker
- Edit and save agent profiles or use default profiles based on literature
- Simulate agent flow on Meso or Macro level
The release of Pedestrian Dynamics 3.1 contains the following New Features and Improvements:
Take a look at the video or continue reading underneath.
Demand profiles and routing based on origin destination matrices
Next to the activity based routing, agents can now also be routed based on origin destination matrices. The origin destination Matrix (OD Matrix) is entered as a table in an agent activity. Beside street entries and exits, also specific bus lines or trains defined in the transportation input can used as origin or destination. More functionality is introduced in the agent generator to easily create demand profiles based on the agent activities. This makes it easy to create demand based on an origin destination matrix.
Default and editable agent profiles
Default sets of predefined profiles based on well-known academic research papers (e.g. Fruin, Daamen, IMO) can now be loaded and edited by the user. Using agent profiles you can define the walking behaviour of groups such as, tourist, persons of restricted mobility and commuters. It is now possible to save profiles created by the user and load them in another model or to share them with other users.
The user can now also model a wide range spiral stairs. The user can set the size, inner radius, start- and end-angle and the size of steps.
|Simulate in Meso or Macro mode
The option to model at meso level is improved. At meso level agents walk the shortest path to their destination and do not avoid other agents. To do a high level analysis new functionality to model at macro level is introduced. In macro mode agents have no interaction and move in straight lines from one activity location to another.
New output statistics are added to do an even more detailed crowd flow analysis to evaluate not only the accessibility and safety of planned environments but also to analyze the usability and cost. You can create heat maps that can be either grid- or agent based.Cumulative mean density
Show the average density (in colour) of an area in a certain time interval.
|Space utilization maps (time occupied)
Showing the use (in colour) of the area as time occupied.
|Cumulative high density (time above)
Show the time (in colour) that an area density has exceeded the threshold value.
|Density of selected area
Showing the average and maximum density in a selected area over time.
|Social cost settings
The user can set the value and weight of the parameters for social cost functions.
|Content of selected area
Showing the amount of agent in a selected area over time.
Shows the social cost of agents in a (by the user selected) currency and a breakdown of the result over different functional areas.
|Generalized journey times
Shows the histogram of the generalized journey time of agents.
|Generalized journey times (per group)
Shows the generalized journey time of agents and a breakdown of different functional groups.
Curious about the possibilities Pedestrian Dynamics could provide for your company?
Download the 30-day free Pedestrian Dynamics trial, download the What’s New brochure or contact one of our experts for further information.