Stage Routing in a Square Room#
This notebook demonstrates three routing variants in the same \(10 \times 10\) room:
Scenario 1:
distribution -> waiting stage -> stage -> exitScenario 2:
distribution -> waiting stage -> exitScenario 3:
distribution -> exit
The scenario is loaded from scenario_files/stage-routing-square-room.
import logging
from datetime import datetime
# Silence jupedsim-scenarios' INFO/DEBUG output. See the howto
# "How do I inspect a scenario?" for the full list of levels.
logging.getLogger("jupedsim_scenarios").setLevel(logging.WARNING)
print(f"Executed on {datetime.now().strftime('%d.%m.%Y, %H:%M')}")
from pathlib import Path
import matplotlib.patches as patches
import matplotlib.pyplot as plt
import numpy as np
import pedpy
from jupedsim_scenarios import load_scenario, run_scenario, run_sweep
Executed on 21.07.2026, 09:40
plt.rcParams.update(
{
"figure.facecolor": "white",
"axes.facecolor": "#fafafa",
"axes.edgecolor": "#444444",
"axes.labelcolor": "#222222",
"axes.titleweight": "bold",
"xtick.color": "#222222",
"ytick.color": "#222222",
"font.size": 11,
}
)
COLORS = {
"scenario_1": "#4C72B0",
"scenario_2": "#DD8452",
"scenario_3": "#55A868",
}
LABELS = {
"scenario_1": "Wait 5 s at stage 1, then visit stage 2",
"scenario_2": "Wait 5 s at stage 1, then go to exit",
"scenario_3": "Directly go to exit",
}
Load the Base Scenario#
The scenario directory already contains the room geometry, the start distribution, the exit, and both stages. We then clone the loaded scenario data before changing the journey definitions so each routing variant stays independent.
SCENARIO_DIR = Path("scenario_files") / "stage-routing-square-room"
base_scenario = load_scenario(str(SCENARIO_DIR))
print(base_scenario.summary())
Scenario: /home/runner/work/jupedsim-scenarios/jupedsim-scenarios/docs/source/notebooks/cookbook/scenario_files/stage-routing-square-room
Model: CollisionFreeSpeedModel
Seed: 42
Max time: 80s
Exits: 1
Distributions: 1
Stages: 2
Zones: 0
Journeys: 1
Agents: ~10
Journey elems: 4
Route: 1 distribution, 2 checkpoint, 1 exit
Sequence: jps-distributions_0 -> jps-checkpoints_0 -> jps-checkpoints_1 -> jps-exits_0
jps-distributions_0: 10 agents
def make_variant(base, name: str, stages: list[str]):
variant = base.copy()
variant.source_path = name
variant.raw["journeys"] = [
{
"id": "jps-journeys_0",
"stages": ["jps-distributions_0", *stages, "jps-exits_0"],
}
]
return variant
def add_room_markers(ax):
overlays = [
(patches.Rectangle((3.2, -0.9), 1.6, 1.8, facecolor="#CFE8FF", edgecolor="#4C72B0", linewidth=1.5), "Start", (4.0, 1.15)),
(patches.Rectangle((-4.35, -0.85), 0.7, 1.7, facecolor="#D6F5D6", edgecolor="#55A868", linewidth=1.5), "Exit", (-4.0, 1.15)),
(patches.Rectangle((-0.55, 3.45), 1.1, 1.1, facecolor="#FCE3C1", edgecolor="#DD8452", linewidth=1.5), "Stage 1\n(wait 5 s)", (0.0, 4.95)),
(patches.Rectangle((-0.55, -4.55), 1.1, 1.1, facecolor="#E7D9F7", edgecolor="#8172B2", linewidth=1.5), "Stage 2", (0.0, -3.05)),
]
for patch, text, label_xy in overlays:
ax.add_patch(patch)
ax.text(label_xy[0], label_xy[1], text, ha="center", va="center", fontsize=10, weight="bold")
ax.set_xlim(-5.4, 5.4)
ax.set_ylim(-5.4, 5.4)
ax.set_xlabel("x [m]")
ax.set_ylabel("y [m]")
ax.grid(color="#d0d0d0", linestyle="--", linewidth=0.6, alpha=0.5)
ax.spines["top"].set_visible(False)
ax.spines["right"].set_visible(False)
SCENARIOS = {
"scenario_1": make_variant(base_scenario, "scenario_1", ["jps-checkpoints_0", "jps-checkpoints_1"]),
"scenario_2": make_variant(base_scenario, "scenario_2", ["jps-checkpoints_0"]),
"scenario_3": make_variant(base_scenario, "scenario_3", []),
}
for name, scenario in SCENARIOS.items():
print(name)
print(scenario.summary())
print("=====================================================")
scenario_1
Scenario: scenario_1
Model: CollisionFreeSpeedModel
Seed: 42
Max time: 80s
Exits: 1
Distributions: 1
Stages: 2
Zones: 0
Journeys: 1
Agents: ~10
Journey elems: 4
Route: 1 distribution, 2 checkpoint, 1 exit
Sequence: jps-distributions_0 -> jps-checkpoints_0 -> jps-checkpoints_1 -> jps-exits_0
jps-distributions_0: 10 agents
=====================================================
scenario_2
Scenario: scenario_2
Model: CollisionFreeSpeedModel
Seed: 42
Max time: 80s
Exits: 1
Distributions: 1
Stages: 2
Zones: 0
Journeys: 1
Agents: ~10
Journey elems: 3
Route: 1 distribution, 1 checkpoint, 1 exit
Sequence: jps-distributions_0 -> jps-checkpoints_0 -> jps-exits_0
jps-distributions_0: 10 agents
=====================================================
scenario_3
Scenario: scenario_3
Model: CollisionFreeSpeedModel
Seed: 42
Max time: 80s
Exits: 1
Distributions: 1
Stages: 2
Zones: 0
Journeys: 1
Agents: ~10
Journey elems: 2
Route: 1 distribution, 0 checkpoint, 1 exit
Sequence: jps-distributions_0 -> jps-exits_0
jps-distributions_0: 10 agents
=====================================================
Run the Three Variants#
For each scenario we keep one deterministic run for the trajectory plot and run a seed sweep for the evacuation-time histogram.
%%capture
def run_variant(scenario, demo_seed=42, seeds=range(40, 55)):
print("=================================================")
demo_result = run_scenario(scenario, seed=demo_seed)
demo_df = demo_result.trajectory_dataframe()[["id", "frame", "x", "y"]].copy()
demo_traj = pedpy.TrajectoryData(demo_df, frame_rate=demo_result.frame_rate)
demo_metrics = dict(demo_result.metrics)
demo_result.cleanup()
sweep = run_sweep(scenario, seeds=list(seeds), workers=4)
evac_times = sweep.to_dataframe()["evacuation_time"].to_numpy()
sweep.cleanup()
return {
"demo_seed": demo_seed,
"demo_traj": demo_traj,
"demo_metrics": demo_metrics,
"evac_times": evac_times.astype(float),
}
results = {name: run_variant(scenario) for name, scenario in SCENARIOS.items()}
walkable_area = pedpy.WalkableArea(base_scenario.walkable_polygon)
summary_rows = []
for name, result in results.items():
evac_times = result["evac_times"]
summary_rows.append(
{
"scenario": name,
"routing": LABELS[name],
"demo evacuation time [s]": result["demo_metrics"]["evacuation_time"],
"mean evacuation time [s]": evac_times.mean(),
"std [s]": evac_times.std(ddof=0),
}
)
summary_rows
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using fallback logic: No journeys defined
INFO - Using fallback logic: No journeys defined
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
INFO - Using fallback logic: No journeys defined
INFO - Processing with parameters: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number'}
INFO - Using default parameters: v0=1.2, radius=0.18, n_agents=10
INFO - Distribution jps-distributions_0: {'number': 10, 'radius': 0.18, 'v0': 1.2, 'distribution_mode': 'by_number', 'percentage': None, 'use_flow_spawning': False, 'flow_start_time': 0, 'flow_end_time': 10, 'strict_spawning': False, 'use_premovement': False, 'premovement_distribution': 'gamma', 'premovement_param_a': None, 'premovement_param_b': None, 'premovement_seed': None, 'radius_distribution': 'constant', 'radius_std': None, 'v0_distribution': 'constant', 'v0_std': None}
INFO - Added 10 agents using fallback logic (immediate), prepared 0 flow sources
fig = plt.figure(figsize=(18, 10))
grid = fig.add_gridspec(2, 3, height_ratios=[1.4, 0.9], hspace=0.28)
for col, name in enumerate(["scenario_1", "scenario_2", "scenario_3"]):
ax = fig.add_subplot(grid[0, col])
pedpy.plot_trajectories(
traj=results[name]["demo_traj"],
walkable_area=walkable_area,
axes=ax,
alpha=0.75,
linewidth=0.8,
color=COLORS[name],
).set_aspect("equal")
add_room_markers(ax)
ax.set_title(
f"{name.replace('_', ' ').title()}\n"
f"demo evacuation time = {results[name]['demo_metrics']['evacuation_time']:.1f} s",
pad=14,
)
hist_ax = fig.add_subplot(grid[1, :])
bins = np.linspace(
min(result["evac_times"].min() for result in results.values()) - 0.5,
max(result["evac_times"].max() for result in results.values()) + 0.5,
12,
)
for name in ["scenario_1", "scenario_2", "scenario_3"]:
evac_times = results[name]["evac_times"]
hist_ax.hist(
evac_times,
bins=bins,
color=COLORS[name],
alpha=0.6,
edgecolor="white",
linewidth=1.0,
label=f"{LABELS[name]} (mean = {evac_times.mean():.1f} s)",
)
hist_ax.set_title("Evacuation Time Distribution Across Seeds", pad=15)
hist_ax.set_xlabel("Evacuation time [s]")
hist_ax.set_ylabel("Count")
hist_ax.grid(axis="y", linestyle="--", alpha=0.4)
hist_ax.spines["top"].set_visible(False)
hist_ax.spines["right"].set_visible(False)
hist_ax.legend(frameon=False, ncol=1, loc="upper right")
fig.suptitle("Stage Routing Comparison in a 10 x 10 Square Room", fontsize=18, y=0.98)
plt.show()
