def save_timing_performance(timing, filename):
full_timings = [3] * 8
full_timings[0] = timing[0]
full_timings[4] = timing[1]
traffic_light = PhaseModifier("node1")
controller = StaticTrafficLightController(controller=traffic_light,
sequence=list(range(8)),
timings=full_timings)
sim = Simulator()
sim.add_simulation_component(SimulationOutputParser)
sim.add_tickable(controller)
sim.run(sumocfg1, gui=False)
sim.save_results(filename)
def evaluate_timing(timing):
traffic_light = PhaseModifier("node1")
full_timings = [3] * 8
full_timings[0] = timing[0]
full_timings[4] = timing[1]
controller = StaticTrafficLightController(controller=traffic_light,
sequence=list(range(8)),
timings=full_timings)
sim = Simulator()
sim.add_simulation_component(SimulationOutputParser)
sim.add_tickable(controller)
if not sim.run(sumocfg1, time_steps=2000, gui=False):
return sim.results
return False
from reward import RewardCalculator
from simulation import Simulator
import numpy as np
from stats.output_parser import SimulationOutputParser
from gradient_descent.static_controller import StaticTrafficLightController
from action import PhaseModifier
sim = Simulator()
sim.add_simulation_component(SimulationOutputParser)
t = [3]*8
t[0] = 50
t[4] = 50
print(t)
controller = StaticTrafficLightController(PhaseModifier("node1"),list(range(8)),t)
sim.add_tickable(controller)
sumocfg1 = "..\\test_environments\\single_intersection_random_trips\\newnet.sumocfg"
sumocfg2 = "..\\test_environments\\grid_map\\4by4.sumocfg"
sim.run(sumocfg1, gui=False)
print(sim.results["mean_speed"].var()**.5)
print(sim.results["duration"].var()**.5)