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Network nodes in pedestrian models

Network nodes are used to graphically define the following things in pedestrian dynamics models:

  • A place where pedestrians appear in the simulated space (referred by PedSource or PedEnter)
  • The destination of the pedestrian movement (referred by PedGoTo)
  • The pedestrians waiting location (referred by PedWait)

You can also use an area to define:

  • a place with a different pedestrians speed
  • a place with restricted access: by throughput, condition, etc. This can be needed e.g. to model a revolving door.

Pedestrian Library works with the following two network nodes:

Use Polygonal node when your area has complex form. If your area is rectangular, use Rectangular node instead.

You can make the area sloped, for example, to model stairs. See the following demo model:

Speed and access restrictions for pedestrians

Pedestrians will try to avoid closed nodes (if Avoid area if closed option is selected in the node's properties), as long as they have a different route option. They perceive the changes in the node's state (closed/open) and can recalculate their route accordingly. If they encounter a closed node, they will handle it like an obstacle, just like they handle walls and space markup elements of Material Handling Library.

When a restricted node and service lines overlap, pedestrians will choose the line that is not restricted by the closed node.

When a route is created for pedestrian groups, all members of the group receive the same instructions on how to handle the closed nodes: either all of them wait until the node opens or all of them bypass the node.

When the members of the group get into a queue to enter a node, every member is handled individually: they enter the node one by one.

To avoid situations where agents may remain in the queue indefinitely, we recommend disassembling groups before they have to pass through such nodes, and reassembling them after.

Exceptions

Access restrictions do not apply to pedestrians that appear inside the restricted nodes, such as:

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