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This commit is contained in:
Varyngoth
253
_source_/simulation.py
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253
_source_/simulation.py
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from typing import Tuple,List,Dict
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import sys
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from datetime import datetime as dt
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import matplotlib
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matplotlib.use('QtAgg')
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import matplotlib.pyplot as plt
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from shapely import Polygon,Point,GeometryCollection,get_coordinates
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from shapely.plotting import plot_polygon
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import jupedsim as jps
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import numpy as np
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import pathlib
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from geometry_setup import GeometrySetup
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from spawning import SpawnManager
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from crosswalk_setup import CrosswalkStatus,CrosswalkController,CrosswalkState,CrosswalkConfig
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from agent_setup import AgentConfig
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from dataclasses import dataclass
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@dataclass
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class SimulationSetup:
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simulation_time:float=200.0
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time_step:float=0.01
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max_iterations:int=50000
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trajectory_file:str="crosswalk_sim.sqlite"
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current_setup:bool=True
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trigger_dist:float=1.0
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activation_time:float=30.0
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cooldown_time:float=10.0
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min_agents_activation:int=1
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activation_delay:float=2.0
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class CrosswalkSimulation:
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def __init__(self,config:SimulationSetup):
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self.config = config
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self.RED = "\033[1;31m"
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self.GREEN = "\033[1;32m"
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self.YELLOW = "\033[1;33m"
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self.BLUE = "\033[1;34m"
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self.PURPLE = "\033[1;35m"
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self.CYAN = "\033[1;36m"
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self.RESET = "\033[0m"
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print(f"{self.YELLOW}\nInitializing Geometry...")
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self.geo = GeometrySetup(self.config.current_setup)
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self.spawn_area = self.geo.spawn()
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self.queue_area = self.geo.queue()
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self.grass_area = self.geo.grass()
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self.crosswalk_area = self.geo.crosswalk()
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self.entry_area = self.geo.entry_polygon()
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self.exit_area = self.geo.exit_polygon()
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self.walkable_area = GeometryCollection([
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self.spawn_area,
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self.queue_area,
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self.grass_area,
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self.crosswalk_area,
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])
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print(f"{self.GREEN}Geometry Configuration Complete!")
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print(f"{self.YELLOW}\nInitializing Agent Setup...")
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self.all_agents, pop_count = AgentConfig()
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self.total_agents = len(self.all_agents)
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self.req_spacing = (max([agent.radius for agent in self.all_agents])*2.2)
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print(f"{self.GREEN}Agent Setup Complete!")
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print(f"{self.RESET}Generated {self.total_agents} Agents")
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print(f"Population Breakdown:\n"+"".join(f"\t{k}: {v}\n" for k,v in pop_count.items()))
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print(f"{self.YELLOW}Initializing Spawn Manager...")
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self.spawn_manager = SpawnManager(self.spawn_area,min_spacing=self.req_spacing)
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self.all_coords = self.spawn_manager.generate_coords()
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print(f"{self.GREEN}Spawn Manager Setup Complete!")
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print(f"{self.RESET}Generated {len(self.all_coords)} Spawn Coordinates")
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print(f"{self.YELLOW}\nInitializing Crosswalk Controller...")
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self.crosswalk_controller = CrosswalkController(
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CrosswalkConfig(
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trigger_dist=self.config.trigger_dist,
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activation_time=self.config.activation_time,
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cooldown_time=self.config.cooldown_time,
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min_agents_activation=self.config.min_agents_activation,
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activation_delay=self.config.activation_delay,
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crosswalk_area=self.crosswalk_area,
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trigger_area=self.entry_area
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),
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self.config.current_setup
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)
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print(f"{self.GREEN}Crosswalk Controller Setup Complete!")
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print(f"{self.YELLOW}\nInitializing JuPedSim Model...")
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self.trajectory_file = self.config.trajectory_file
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self.simulation = jps.Simulation(
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model=jps.CollisionFreeSpeedModel(),
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geometry=self.walkable_area,
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trajectory_writer=jps.SqliteTrajectoryWriter(
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output_file=pathlib.Path(self.trajectory_file)
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),
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dt=self.config.time_step
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)
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self.journey_setup()
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self.jps_agent_ids:Dict[int,int] = {}
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self.iteration_count = 0
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self.current_time = 0.0
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print(f"{self.GREEN}JuPedSim Model Initialized{self.RESET}")
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print(f"\tTime Step: {self.config.time_step}s")
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print(f"\tMax Iterations: {self.config.max_iterations}")
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print(f"\tCrosswalk Activation Length: {self.config.activation_time}s")
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print(f"\tCrosswalk Cooldown Length: {self.config.cooldown_time}s")
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def journey_setup(self):
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self.queue_waiting_coords = self.waiting_coords(
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self.queue_area,
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self.spawn_manager.min_spacing
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)
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self.queue_stage_id = self.simulation.add_waiting_set_stage(
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self.queue_waiting_coords
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)
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self.queue_stage = self.simulation.get_stage(self.queue_stage_id)
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self.queue_stage.state = jps.WaitingSetState.ACTIVE
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self.crosswalk_entry_id = self.simulation.add_waypoint_stage((
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self.entry_area.centroid.x,
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self.entry_area.centroid.y),
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self.spawn_manager.min_spacing
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)
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self.crosswalk_exit_id = self.simulation.add_waypoint_stage((
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self.exit_area.centroid.x,
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self.exit_area.centroid.y),
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self.spawn_manager.min_spacing
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)
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self.exit_stage_id = self.simulation.add_waypoint_stage((
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self.grass_area.centroid.x,
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self.grass_area.centroid.y),
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self.spawn_manager.min_spacing
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)
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self.journey = jps.JourneyDescription([
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self.queue_stage_id,
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self.crosswalk_entry_id,
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self.crosswalk_exit_id,
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self.exit_stage_id
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])
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self.journey.set_transition_for_stage(
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self.queue_stage_id,
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jps.Transition.create_fixed_transition(
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self.crosswalk_entry_id
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))
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self.journey.set_transition_for_stage(
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self.crosswalk_entry_id,
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jps.Transition.create_fixed_transition(
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self.crosswalk_exit_id
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))
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self.journey.set_transition_for_stage(
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self.crosswalk_exit_id,
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jps.Transition.create_fixed_transition(
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self.exit_stage_id
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))
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self.journey_id = self.simulation.add_journey(
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self.journey)
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def waiting_coords(self,area:Polygon,spacing:float)->List[Tuple[float,float]]:
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min_x,min_y,max_x,max_y = area.bounds
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points = []
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x = (min_x+spacing)/2
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while x<max_x:
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y = (min_y+spacing)/2
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while y < max_y:
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if area.contains(Point(x, y)):
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points.append((x,y))
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y += spacing
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x += spacing
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return points if points else [(min_x+0.5, min_y+0.5)]
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def run(self):
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print(f"{self.CYAN}\nStarting Simulation")
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print(f"Target Agents: {len(self.all_agents)}\n{self.RESET}")
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while self.iteration_count < self.config.max_iterations:
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if self.spawn_manager.check_spawn_complete(self.all_agents):
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new_agent = self.spawn_manager.spawn_agent(self.all_agents)
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if new_agent:
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jps_agent_params = jps.CollisionFreeSpeedModelAgentParameters(
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journey_id=self.journey_id,
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stage_id=self.queue_stage_id,
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position=self.spawn_manager.get_agent_pos(new_agent.id),
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desired_speed=new_agent.speed,
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radius=new_agent.radius
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)
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jps_agent_id = self.simulation.add_agent(jps_agent_params)
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self.jps_agent_ids[new_agent.id] = jps_agent_id
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#if self.iteration_count % 100 ==0:
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# print(f"{self.YELLOW}[Iteration: {self.iteration_count:05d}]{self.RESET} Total Agents Spawned {len(self.jps_agent_ids)}")
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print(f"{self.YELLOW}[Iteration: {self.iteration_count:05d}]{self.RESET} Total Agents Spawned {len(self.jps_agent_ids)}")
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current_agent_pos = {}
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for spawn_id,jps_id in self.jps_agent_ids.items():
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try:
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agent = self.simulation.agent(jps_id)
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current_agent_pos[spawn_id] = (agent.position[0],agent.position[1])
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except RuntimeError:
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continue
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crosswalk_state = self.crosswalk_controller.update(
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current_agent_pos,
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self.config.time_step,
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self.current_time
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)
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if crosswalk_state.is_active:
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if self.queue_stage.state != jps.WaitingSetState.INACTIVE:
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self.queue_stage.state = jps.WaitingSetState.INACTIVE
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print(f"{self.YELLOW}[Iteration: {self.iteration_count:05d}]{self.RESET} Crosswalk ACTIVATED")
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else:
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if self.queue_stage.state != jps.WaitingSetState.ACTIVE:
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self.queue_stage.state = jps.WaitingSetState.ACTIVE
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self.simulation.iterate()
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self.current_time += self.config.time_step
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self.iteration_count +=1
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agents_to_remove = []
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for spawn_id, jps_id in list(self.jps_agent_ids.items()):
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try:
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_ = self.simulation.agent(jps_id)
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except RuntimeError:
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agents_to_remove.append(spawn_id)
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for spawn_id in agents_to_remove:
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self.spawn_manager.unfill_coords(spawn_id)
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del self.jps_agent_ids[spawn_id]
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print(f"{self.YELLOW}[Iteration: {self.iteration_count:05d}]{self.RESET} JOURNEY COMPLETE: Agent {spawn_id}")
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if (len(self.jps_agent_ids) ==0 and not self.spawn_manager.check_spawn_complete(self.all_agents)):
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print(f"{self.GREEN}\nSimulation Completed at Iteration: {self.iteration_count}")
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print(f"Total Simulation Time: {self.current_time:.2f} s")
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break
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print("\n")
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print(f"{self.GREEN}=== SIMULATION COMPLETE ===")
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stats = self.crosswalk_controller.get_statistics()
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print(f"{self.YELLOW}Crosswalk Activations: {self.RESET}{stats['total_activations']}")
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print(f"{self.YELLOW}Agents Served: {self.RESET}{stats['agents_served']}")
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print(f"{self.PURPLE}Trajectory File:\n{self.trajectory_file}{self.RESET}\n")
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return
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def main():
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config = SimulationSetup(
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simulation_time=200.0,
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time_step=0.01,
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max_iterations=50000,
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trajectory_file=f"_SRS_sim_{dt.now().strftime("%H%M%S")}_.sqlite",
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current_setup=True,
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trigger_dist=1.0,
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activation_time=30.0,
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cooldown_time=10.0,
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min_agents_activation=1,
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activation_delay=2.0,
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)
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sim = CrosswalkSimulation(config)
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sim.run()
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if __name__ == "__main__":
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main()
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