config.ini

[Simulation]
gui = False
env_name = SUMOGLOSAEnv
sumo_cfg = config_a9-thi.sumocfg
ego_acc = 0.8
max_speed = 13.89
min_speed = 6.94
ego_route = 327975022 39704919#0 542650138 542650138.26 266507547#0 -266507550#0 -308849647#1 -308849647#0 -201789794#3 -201789794#2 -201789794#1 -202070429#13 -202070429#12 -202070429#12.49 -202070429#11 -202070429#8 -202070429#5 -202070429#4 -202070429#2 -202070429#1 -202070429#0 151167728 151167728.19 257907860 814691984#0 814691984#1 305390325#0 305390325#2 305390325#3 266567304#0 64464420 25955089 64464430 814691990 814691990.7 -24991571 -24991571.15 -24991573 -11014139#1 145069303#1
base_starttime = 39600

[GLOSA_general]
evaluations = [10, 500, 1000, 1500, 2000, 2500, 3000, 3500, 4000, 4500]
glosa_agent = classic #classic, rl
steps = 1

[Classic-Configs]
#or WAITING for considering queue information
algo_queue = BASIC
delay = 15
activation_distance = 1000


[RL-Training]
num_steps = 100000
rl_agent = SAC

[RL-State]
depth = 1
phase_arrival = True
next_green_red_switch = True
distance = True
cars_on_lane = True
speed = True
leader_distance = False
leader_speed = False
leader = False

[RL-Reward]
waiting = True
waiting_factor = 1
keep_speed = True
keep_speed_factor = 0.01
co2 = False
co2_factor = 0
traveltime = False
traveltime_factor = 0
keep_action = True
keep_action_factor = 10

[wandb]
project = glosa
mode = disabled