diff --git a/starling_sim/basemodel/agent/agent.py b/starling_sim/basemodel/agent/agent.py
index 87c3180..d29e1df 100644
--- a/starling_sim/basemodel/agent/agent.py
+++ b/starling_sim/basemodel/agent/agent.py
@@ -32,6 +32,12 @@ class Agent(Traced):
                 "description": "Road network used by the agent",
             },
             "icon": {"type": "string", "title": "Agent icon", "description": "Display icon"},
+            "duplicates": {
+                "title": "Agent duplicates",
+                "description": "Generate duplicates of this agent",
+                "type": "integer",
+                "minimum": 1
+            }
         },
         "required": ["agent_id", "agent_type", "mode", "icon"],
     }
diff --git a/starling_sim/basemodel/input/dynamic_input.py b/starling_sim/basemodel/input/dynamic_input.py
index 224719a..6cc426a 100644
--- a/starling_sim/basemodel/input/dynamic_input.py
+++ b/starling_sim/basemodel/input/dynamic_input.py
@@ -1,3 +1,5 @@
+import copy
+
 from starling_sim.basemodel.trace.trace import Traced
 from starling_sim.basemodel.trace.events import InputEvent
 from starling_sim.basemodel.agent.operators.operator import Operator
@@ -21,6 +23,8 @@ class DynamicInput(Traced):
     dynamically adds agents in the environment during the simulation.
     """
 
+    DUPLICATE_AGENT_ID_FORMAT = "{original_id}.{index}"
+
     def __init__(self, agent_type_dict):
         super().__init__("INPUT")
 
@@ -160,13 +164,40 @@ def new_agent_input(self, feature):
         """
         Create and initialise a new agent, and add it to the simulation environment.
 
-        :param feature:
-        :return:
+        :param feature: agent feature (GeoJSON Feature)
+
+        :return: created agent or list of agents in case of "duplicates"
         """
 
         # get the agent input dict
         input_dict = feature["properties"]
 
+        # if 'duplicates', run new_agent_input recursively on duplicated features and return a list of new agents
+        if "duplicates" in input_dict:
+            new_agents = []
+            nb_duplicates = input_dict["duplicates"]
+            # check agent properties
+            assert (
+                isinstance(nb_duplicates, int) and nb_duplicates > 0
+            ), "'duplicates' attribute must be a strictly positive integer"
+            assert "agent_id" in input_dict, "Duplicated agent misses agent_id attribute"
+
+            # create a new agent feature for each duplicate
+            for i in range(nb_duplicates):
+                duplicated_feature = copy.deepcopy(feature)
+                del duplicated_feature["properties"]["duplicates"]
+                # create a new id using the original agent id and the duplicate index
+                duplicated_feature["properties"][
+                    "agent_id"
+                ] = self.DUPLICATE_AGENT_ID_FORMAT.format(
+                    original_id=input_dict["agent_id"], index=i
+                )
+
+                new_agents.append(self.new_agent_input(duplicated_feature))
+
+            # return a list of agents instead of a single object
+            return new_agents
+
         if "operator_id" in input_dict:
             # link with operator
             self.add_key_operator(input_dict)