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138 lines
4.6 KiB
Python
138 lines
4.6 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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"""
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This module defines the entry point of the application
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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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import traci
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from typing import List
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import jsonpickle
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from parse import search
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from shapely.geometry import LineString
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import actions
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from config import Config
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from data import Data
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from model import Area, Vehicle, Lane, TrafficLight, Phase, Logic, Emission
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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: The vehicle 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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# Adding of the total of emissions pollutant at the current step into memory
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area.emissions_by_step.append(total_emissions)
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# If the sum of pollutant emissions (in mg) exceeds the threshold
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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: The sum of all pollutant emissions (in mg) for the simulation of reference
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:param total: The sum of all pollutant emissions (in mg) for the current simulation launched
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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,dump_name):
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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 = 'files/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'files/csv/{dump_name}_{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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