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321 lines
11 KiB
Python
321 lines
11 KiB
Python
"""
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Created on 17 oct. 2018
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@author: Axel Huynh-Phuc, Thibaud Gasser
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"""
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import argparse
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import csv
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import datetime
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import itertools
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import os
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import sys
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import time
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from typing import List
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import actions
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import traci
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from config import Config
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from model import Area, Vehicle, Lane, TrafficLight, Phase, Logic, Emission
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from parse import search
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from shapely.geometry import LineString
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"""
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This module defines the entry point of the application
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"""
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def init_grid(simulation_bounds, areas_number, window_size):
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"""
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Initialize the grid of the loaded map from the configuration
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:param simulation_bounds: The map bounds
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:param areas_number: The number of areas
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:param window_size: The size of the acquisition window
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:return: A list of areas
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"""
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grid = list()
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width = simulation_bounds[1][0] / areas_number
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height = simulation_bounds[1][1] / areas_number
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for i in range(areas_number):
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for j in range(areas_number):
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# bounds coordinates for the area : (xmin, ymin, xmax, ymax)
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ar_bounds = ((i * width, j * height), (i * width, (j + 1) * height),
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((i + 1) * width, (j + 1) * height), ((i + 1) * width, j * height))
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name = 'Area ({},{})'.format(i, j)
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area = Area(ar_bounds, name, window_size)
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grid.append(area)
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traci.polygon.add(area.name, ar_bounds, (255, 0, 0))
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return grid
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def get_all_lanes() -> List[Lane]:
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"""
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Recover and creates a list of Lane objects
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:return: The lanes list
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"""
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lanes = []
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for lane_id in traci.lane.getIDList():
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polygon_lane = LineString(traci.lane.getShape(lane_id))
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initial_max_speed = traci.lane.getMaxSpeed(lane_id)
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lanes.append(Lane(lane_id, polygon_lane, initial_max_speed))
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return lanes
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def parse_phase(phase_repr):
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"""
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Because the SUMO object Phase does not contain accessors,
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we parse the string representation to retrieve data members.
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:param phase_repr: The Phase string representation
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:return: An new Phase instance
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"""
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duration = search('duration: {:f}', phase_repr)
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min_duration = search('minDuration: {:f}', phase_repr)
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max_duration = search('maxDuration: {:f}', phase_repr)
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phase_def = search('phaseDef: {}\n', phase_repr)
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if phase_def is None:
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phase_def = ''
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else:
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phase_def = phase_def[0]
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return Phase(duration[0], min_duration[0], max_duration[0], phase_def)
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def add_data_to_areas(areas: List[Area]):
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"""
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Adds all recovered data to different areas
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:param areas: The list of areas
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:return:
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"""
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lanes = get_all_lanes()
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for area in areas:
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for lane in lanes: # add lanes
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if area.rectangle.intersects(lane.polygon):
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area.add_lane(lane)
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for tl_id in traci.trafficlight.getIDList(): # add traffic lights
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if lane.lane_id in traci.trafficlight.getControlledLanes(tl_id):
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logics = []
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for l in traci.trafficlight.getCompleteRedYellowGreenDefinition(tl_id): # add logics
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phases = []
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for phase in traci.trafficlight.Logic.getPhases(l): # add phases to logics
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phases.append(parse_phase(phase.__repr__()))
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logics.append(Logic(l, phases))
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area.add_tl(TrafficLight(tl_id, logics))
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def compute_vehicle_emissions(veh_id):
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"""
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Recover the emissions of different pollutants from a vehicle and create an Emission instance
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:param veh_id:
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:return: A new Emission instance
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"""
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co2 = traci.vehicle.getCO2Emission(veh_id)
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co = traci.vehicle.getCOEmission(veh_id)
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nox = traci.vehicle.getNOxEmission(veh_id)
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hc = traci.vehicle.getHCEmission(veh_id)
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pmx = traci.vehicle.getPMxEmission(veh_id)
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return Emission(co2, co, nox, hc, pmx)
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def get_all_vehicles() -> List[Vehicle]:
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"""
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Recover all useful information about vehicles and creates a vehicles list
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:return: A list of vehicles instances
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"""
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vehicles = list()
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for veh_id in traci.vehicle.getIDList():
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veh_pos = traci.vehicle.getPosition(veh_id)
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vehicle = Vehicle(veh_id, veh_pos)
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vehicle.emissions = compute_vehicle_emissions(veh_id)
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vehicles.append(vehicle)
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return vehicles
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def get_emissions(grid: List[Area], vehicles: List[Vehicle], current_step, config, logger):
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"""
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For each area retrieves the acquired emissions in the window,
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and acts according to the configuration chosen by the user
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:param grid: The list of areas
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:param vehicles: The list of vehicles
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:param current_step: The simulation current step
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:param config: The simulation configuration
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:param logger: The simulation logger
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:return:
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"""
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for area in grid:
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total_emissions = Emission()
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for vehicle in vehicles:
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if vehicle.pos in area:
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total_emissions += vehicle.emissions
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area.emissions_by_step.append(total_emissions)
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if area.sum_emissions_into_window(current_step) >= config.emissions_threshold:
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if config.limit_speed_mode and not area.limited_speed:
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logger.info(f'Action - Decreased max speed into {area.name} by {config.speed_rf * 100}%')
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actions.limit_speed_into_area(area, config.speed_rf)
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if config.adjust_traffic_light_mode and not area.tls_adjusted:
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logger.info(
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f'Action - Decreased traffic lights duration by {config.trafficLights_duration_rf * 100}%')
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actions.adjust_traffic_light_phase_duration(area, config.trafficLights_duration_rf)
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if config.lock_area_mode and not area.locked:
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if actions.count_vehicles_in_area(area):
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logger.info(f'Action - {area.name} blocked')
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actions.lock_area(area)
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if config.weight_routing_mode and not area.weight_adjusted:
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actions.adjust_edges_weights(area)
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traci.polygon.setFilled(area.name, True)
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else:
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actions.reverse_actions(area)
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traci.polygon.setFilled(area.name, False)
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def get_reduction_percentage(ref, total):
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"""
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Return the reduction percentage of total emissions between reference and an other simulation
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:param ref:
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:param total:
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:return:
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"""
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return (ref - total) / ref * 100
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def export_data_to_csv(config, grid):
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"""
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Export all Emission objects as a CSV file into the csv directory
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:param config: The simulation configuration
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:param grid: The list of areas
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:return:
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"""
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csv_dir = 'csv'
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if not os.path.exists(csv_dir):
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os.mkdir(csv_dir)
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now = datetime.datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
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with open(f'csv/{now}.csv', 'w') as f:
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writer = csv.writer(f)
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# Write CSV headers
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writer.writerow(itertools.chain(('Step',), (a.name for a in grid)))
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# Write all areas emission value for each step
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for step in range(config.n_steps):
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em_for_step = (f'{a.emissions_by_step[step].value():.3f}' for a in grid)
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writer.writerow(itertools.chain((step,), em_for_step))
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def run(config, logger):
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"""
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Run the simulation with the configuration chosen
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:param config: The simulation configuration
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:param logger: The simulation logger
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:return:
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"""
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grid = list()
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try:
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traci.start(config.sumo_cmd)
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logger.info(f'Loaded simulation file : {config._SUMOCFG}')
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logger.info('Loading data for the simulation')
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start = time.perf_counter()
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grid = init_grid(traci.simulation.getNetBoundary(), config.areas_number, config.window_size)
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add_data_to_areas(grid)
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loading_time = round(time.perf_counter() - start, 2)
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logger.info(f'Data loaded ({loading_time}s)')
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logger.info('Simulation started...')
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step = 0
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while step < config.n_steps: # traci.simulation.getMinExpectedNumber() > 0:
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traci.simulationStep()
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vehicles = get_all_vehicles()
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get_emissions(grid, vehicles, step, config, logger)
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step += 1
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print(f'step = {step}/{config.n_steps}', end='\r')
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finally:
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traci.close(False)
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export_data_to_csv(config, grid)
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simulation_time = round(time.perf_counter() - start, 2)
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logger.info(f'End of the simulation ({simulation_time}s)')
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logger.info(f'Real-time factor : {config.n_steps / simulation_time}')
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total_emissions = Emission()
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for area in grid:
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total_emissions += area.sum_all_emissions()
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logger.info(f'Total emissions = {total_emissions.value()} mg')
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if not config.without_actions_mode:
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ref = config.get_ref_emissions()
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if not (ref is None):
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global_diff = (ref.value() - total_emissions.value()) / ref.value()
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logger.info(f'Global reduction percentage of emissions = {global_diff * 100} %')
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logger.info(f'-> CO2 emissions = {get_reduction_percentage(ref.co2, total_emissions.co2)} %')
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logger.info(f'-> CO emissions = {get_reduction_percentage(ref.co, total_emissions.co)} %')
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logger.info(f'-> Nox emissions = {get_reduction_percentage(ref.nox, total_emissions.nox)} %')
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logger.info(f'-> HC emissions = {get_reduction_percentage(ref.hc, total_emissions.hc)} %')
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logger.info(f'-> PMx emissions = {get_reduction_percentage(ref.pmx, total_emissions.pmx)} %')
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def add_options(parser):
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"""
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Add command line options
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:param parser: The command line parser
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:return:
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"""
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parser.add_argument("-f", "--configfile", type=str, default='configs/default_config.json', required=False,
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help='Choose your configuration file from your working directory')
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parser.add_argument("-save", "--save", action="store_true",
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help='Save the logs into the logs folder')
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parser.add_argument("-steps", "--steps", type=int, default=200, required=False,
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help='Choose the simulated time (in seconds)')
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parser.add_argument("-ref", "--ref", action="store_true",
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help='Launch a reference simulation (without acting on areas)')
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parser.add_argument("-gui", "--gui", action="store_true",
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help="Set GUI mode")
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def main(args):
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"""
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The entry point of the application
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:param args: Command line options
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:return:
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"""
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parser = argparse.ArgumentParser(description="")
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add_options(parser)
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args = parser.parse_args(args)
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config = Config()
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config.import_config_file(args.configfile)
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config.init_traci()
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logger = config.init_logger(save_logs=args.save)
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if args.ref:
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config.without_actions_mode = True
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logger.info(f'Reference simulation')
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if args.steps:
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config.n_steps = args.steps
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if args.gui:
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config._SUMOCMD = "sumo-gui"
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config.check_config()
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logger.info(f'Loaded configuration file : {args.configfile}')
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logger.info(f'Simulated time : {args.steps}s')
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run(config, logger)
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if __name__ == '__main__':
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main(sys.argv[1:])
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