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sumo-emissions/sumo_project/emissions.py

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"""
Created on 17 oct. 2018
@author: Axel Huynh-Phuc, Thibaud Gasser
"""
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"""
This module defines the entry point of the application
"""
import argparse
import csv
import datetime
import itertools
import os
import sys
import time
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import traci
from typing import List
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import jsonpickle
from parse import search
from shapely.geometry import LineString
import actions
from config import Config
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from data import Data
from model import Area, Vehicle, Lane, TrafficLight, Phase, Logic, Emission
def compute_vehicle_emissions(veh_id):
"""
Recover the emissions of different pollutants from a vehicle and create an Emission instance
:param veh_id: The vehicle ID
:return: A new Emission instance
"""
co2 = traci.vehicle.getCO2Emission(veh_id)
co = traci.vehicle.getCOEmission(veh_id)
nox = traci.vehicle.getNOxEmission(veh_id)
hc = traci.vehicle.getHCEmission(veh_id)
pmx = traci.vehicle.getPMxEmission(veh_id)
return Emission(co2, co, nox, hc, pmx)
def get_all_vehicles() -> List[Vehicle]:
"""
Recover all useful information about vehicles and creates a vehicles list
:return: A list of vehicles instances
"""
vehicles = list()
for veh_id in traci.vehicle.getIDList():
veh_pos = traci.vehicle.getPosition(veh_id)
vehicle = Vehicle(veh_id, veh_pos)
vehicle.emissions = compute_vehicle_emissions(veh_id)
vehicles.append(vehicle)
return vehicles
def get_emissions(grid: List[Area], vehicles: List[Vehicle], current_step, config, logger):
"""
For each area retrieves the acquired emissions in the window,
and acts according to the configuration chosen by the user
:param grid: The list of areas
:param vehicles: The list of vehicles
:param current_step: The simulation current step
:param config: The simulation configuration
:param logger: The simulation logger
:return:
"""
for area in grid:
total_emissions = Emission()
for vehicle in vehicles:
if vehicle.pos in area:
total_emissions += vehicle.emissions
# Adding of the total of emissions pollutant at the current step into memory
area.emissions_by_step.append(total_emissions)
# If the sum of pollutant emissions (in mg) exceeds the threshold
if area.sum_emissions_into_window(current_step) >= config.emissions_threshold:
if config.limit_speed_mode and not area.limited_speed:
logger.info(f'Action - Decreased max speed into {area.name} by {config.speed_rf * 100}%')
actions.limit_speed_into_area(area, config.speed_rf)
if config.adjust_traffic_light_mode and not area.tls_adjusted:
logger.info(
f'Action - Decreased traffic lights duration by {config.trafficLights_duration_rf * 100}%')
actions.adjust_traffic_light_phase_duration(area, config.trafficLights_duration_rf)
if config.lock_area_mode and not area.locked:
if actions.count_vehicles_in_area(area):
logger.info(f'Action - {area.name} blocked')
actions.lock_area(area)
if config.weight_routing_mode and not area.weight_adjusted:
actions.adjust_edges_weights(area)
traci.polygon.setFilled(area.name, True)
else:
actions.reverse_actions(area)
traci.polygon.setFilled(area.name, False)
def get_reduction_percentage(ref, total):
"""
Return the reduction percentage of total emissions between reference and an other simulation
:param ref: The sum of all pollutant emissions (in mg) for the simulation of reference
:param total: The sum of all pollutant emissions (in mg) for the current simulation launched
:return:
"""
return (ref - total) / ref * 100
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def export_data_to_csv(config, conf, grid, dump_name):
"""
Export all Emission objects as a CSV file into the csv directory
:param config: The simulation configuration
:param grid: The list of areas
:return:
"""
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csv_dir = 'files/csv'
if not os.path.exists(csv_dir):
os.mkdir(csv_dir)
now = datetime.datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
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with open(f'files/csv/{dump_name}_{conf}_{now}.csv', 'w') as f:
writer = csv.writer(f)
# Write CSV headers
writer.writerow(itertools.chain(('Step',), (a.name for a in grid)))
# Write all areas emission value for each step
for step in range(config.n_steps):
em_for_step = (f'{a.emissions_by_step[step].value():.3f}' for a in grid)
writer.writerow(itertools.chain((step,), em_for_step))