def lazy_police(update_steps, t, directions):
if (simulation.getCurrentTime() % 100) % update_steps == 0:
max_halt = max([t.edges[d].edge_status['halt'] for d in directions])
passway = (direction for direction, edge in t.edges.items()
if edge.edge_status['halt'] == max_halt).__next__() # Search keys according to value
print('Haltest: %s' % passway)
t.set_passway(passway)
def run():
global ct
ct = 0
edgesList = []
vehicle_list = []
#junction '386' is of interest to our adaptive traffic control lets subscribe to it
junction_ID = '386'
traci.junction.subscribeContext(junction_ID, tc.CMD_GET_VEHICLE_VARIABLE,
42)
#la route que g cree pour les vehicules sybils
traci.route.add(routeID="r1",
edges=["-479572754#1", "-479572754#0", "-456316923"])
print 'CA CEST LE PROGRAM'
#print traci.trafficlights.getProgram('386')
#A chaque 100 secondes, je genere 6 vehicules sybiles dont les identifiants commencent par 10000000 et a partir de 28000s
d = 28000
z = 0
for i in range(40):
v1 = "10000000" + str(z)
v2 = "10000000" + str(z + 1)
v3 = "10000000" + str(z + 2)
v4 = "10000000" + str(z + 3)
v5 = "10000000" + str(z + 4)
v6 = "10000000" + str(z + 5)
traci.vehicle.add(str(v1), "r1", depart=d, pos=0)
traci.vehicle.add(str(v2), "r1", depart=d, pos=0)
traci.vehicle.add(str(v3), "r1", depart=d, pos=0)
traci.vehicle.add(str(v4), "r1", depart=d, pos=0)
traci.vehicle.add(str(v5), "r1", depart=d, pos=0)
traci.vehicle.add(str(v6), "r1", depart=d, pos=0)
traci.vehicle.setColor(str(v1), (250, 0, 0, 0))
traci.vehicle.setColor(str(v2), (250, 0, 0, 0))
traci.vehicle.setColor(str(v3), (250, 0, 0, 0))
traci.vehicle.setColor(str(v4), (250, 0, 0, 0))
traci.vehicle.setColor(str(v5), (250, 0, 0, 0))
traci.vehicle.setColor(str(v6), (250, 0, 0, 0))
d = d + 100
z = z + 6
while ct < 32400000:
traci.simulationStep()
ct = simulation.getCurrentTime()
#Insertion de vehicules sybiles
p = traci.junction.getContextSubscriptionResults(junction_ID)
if p is not None:
temp = list(p)
for x in temp:
#g des vehicules sybiles que je ne veux pas coller a ma liste
if ((vehicle_list.count(x) == 0) & (int(x) < 10000000)):
vehicle_list.append(x)
outputVehicle = "Sybil_1_A_1/vehicles_around_junction" + junction_ID + str(
opt.run) + ".txt"
with open(outputVehicle, 'w') as out:
for y in vehicle_list:
out.write(y + '\n')
out.close()
traci.close()
sys.stdout.flush()
def getTimeInQueue():
t = sim.getCurrentTime() / 1000
cumTime = 0
for det_id in la.getIDList():
for vid in la.getLastStepVehicleIDs(det_id):
print('vid in getTimeinQueue:', vid)
start = vehicles_in_queue.setdefault(vid, t)
cumTime += t - vehicles_in_queue[vid]
print(vehicles_in_queue)
print(cumTime)
return cumTime
def run():
global ct
ct = 0
edgesList = []
vehicle_list = []
#junctions '386', '428' and '376' is of interest to our adaptive traffic control lets subscribe to it
junction_ID_1 = '386'
junction_ID_2 = '428'
junction_ID_3 = '376'
traci.junction.subscribeContext(junction_ID_1, tc.CMD_GET_VEHICLE_VARIABLE,
42)
traci.junction.subscribeContext(junction_ID_2, tc.CMD_GET_VEHICLE_VARIABLE,
42)
traci.junction.subscribeContext(junction_ID_3, tc.CMD_GET_VEHICLE_VARIABLE,
42)
while ct < 32400000:
traci.simulationStep()
ct = simulation.getCurrentTime()
#junction 1
p = traci.junction.getContextSubscriptionResults(junction_ID_1)
if p is not None:
temp = list(p)
for x in temp:
if vehicle_list.count(x) == 0:
vehicle_list.append(x)
#junction 2
q = traci.junction.getContextSubscriptionResults(junction_ID_2)
if q is not None:
temp = list(q)
for x in temp:
if vehicle_list.count(x) == 0:
vehicle_list.append(x)
#junction 3
r = traci.junction.getContextSubscriptionResults(junction_ID_3)
if r is not None:
temp = list(r)
for x in temp:
if vehicle_list.count(x) == 0:
vehicle_list.append(x)
outputVehicle = "Normal_3/vehicles_around_junction" + junction_ID_1 + junction_ID_2 + junction_ID_3 + str(
opt.run) + ".txt"
with open(outputVehicle, 'w') as out:
for y in vehicle_list:
out.write(y + '\n')
out.close()
traci.close()
sys.stdout.flush()
def sim_step(self, action):
if action is not None:
for i in range(len(self.tls)):
self.tls[i].set_passway(action[i])
traci.simulationStep()
current_step = int(simulation.getCurrentTime() / 1000)
print("Current Step: %d" % current_step)
log_list = []
reward_list = []
for t in self.tls:
t_log, t_reward = t.update(current_step)
log_list.append(t_log)
reward_list.append(t_reward)
if self.verbose:
t.show()
log = [item for sublist in log_list for item in sublist] # Flatten the log
return log, reward_list
tl_list=[]
for connection in connection_list:
tl_list.append( connection[2])
return tl_list
#lust= import_datasets()
#tls= extract_tl_ids(lust.iloc[0])
#print tls
#connections = dataset[5]==[from,to,tl,dir,state]
if True:
TLSID= "0"
while step < 1000:
simulationStep()
arrived_vehicles_in_last_step= simulation.getArrivedNumber()
departed_vehicles_in_last_step= simulation.getDepartedNumber()
current_simulation_time_ms= simulation.getCurrentTime()
print arrived_vehicles_in_last_step
phase= trafficlights.getPhase(TLSID)
trafficlights.setRedYellowGreenState(TLSID, "grrrrrrrrrrr")
lanes= trafficlights.getControlledLanes(TLSID)
print len(lanes)
#for lane in lanes:
# print lane
print phase
#if traci.inductionloop.getLastStepVehicleNumber("0") > 0:
# traci.trafficlights.setRedYellowGreenState("0", "GrGr")
step += 1
close()
for connection in connection_list:
tl_list.append(connection[2])
return tl_list
#lust= import_datasets()
#tls= extract_tl_ids(lust.iloc[0])
#print tls
#connections = dataset[5]==[from,to,tl,dir,state]
if True:
TLSID = "0"
while step < 1000:
simulationStep()
arrived_vehicles_in_last_step = simulation.getArrivedNumber()
departed_vehicles_in_last_step = simulation.getDepartedNumber()
current_simulation_time_ms = simulation.getCurrentTime()
print arrived_vehicles_in_last_step
phase = trafficlights.getPhase(TLSID)
trafficlights.setRedYellowGreenState(TLSID, "grrrrrrrrrrr")
lanes = trafficlights.getControlledLanes(TLSID)
print len(lanes)
#for lane in lanes:
# print lane
print phase
#if traci.inductionloop.getLastStepVehicleNumber("0") > 0:
# traci.trafficlights.setRedYellowGreenState("0", "GrGr")
step += 1
close()
def run(): global ct ct = 0 edgesList = [] vehicle_list = [] #junctions '386', '428' and '376' are of interest to our adaptive traffic control lets subscribe to them junction_ID_1 = '386' junction_ID_2 = '428' junction_ID_3 = '376' traci.junction.subscribeContext(junction_ID_1, tc.CMD_GET_VEHICLE_VARIABLE, 42) traci.junction.subscribeContext(junction_ID_2, tc.CMD_GET_VEHICLE_VARIABLE, 42) traci.junction.subscribeContext(junction_ID_3, tc.CMD_GET_VEHICLE_VARIABLE, 42) #les 3 routes que g cree pour les vehicules sybils traci.route.add(routeID="r1",edges=["-479572754#1","-479572754#0", "-456316923"]) traci.route.add(routeID="r2",edges=["-300627772#1","-479572754#1", "-479572754#0"]) traci.route.add(routeID="r3",edges=["-361607072","361607071", "479572754#0"]) #A chaque 100 secondes, je genere 6 vehicules sybiles dont les identifiants commencent par 10000000 et a partir de 28000s d=28000 z=0 for i in range(40): v1="10000000" + str(z) v2="10000000" + str(z+1) v3="10000000" + str(z+2) v4="10000000" + str(z+3) v5="10000000" + str(z+4) v6="10000000" + str(z+5) v7="10000000" + str(z+6) v8="10000000" + str(z+7) v9="10000000" + str(z+8) v10="10000000" + str(z+9) v11="10000000" + str(z+10) v12="10000000" + str(z+11) v13="10000000" + str(z+12) v14="10000000" + str(z+13) v15="10000000" + str(z+14) v16="10000000" + str(z+15) v17="10000000" + str(z+16) v18="10000000" + str(z+17) traci.vehicle.add(str(v1),"r1",depart=d, pos=0) traci.vehicle.add(str(v2),"r1",depart=d, pos=0) traci.vehicle.add(str(v3),"r1",depart=d, pos=0) traci.vehicle.add(str(v4),"r1",depart=d, pos=0) traci.vehicle.add(str(v5),"r1",depart=d, pos=0) traci.vehicle.add(str(v6),"r1",depart=d, pos=0) traci.vehicle.add(str(v7),"r2",depart=d, pos=0) traci.vehicle.add(str(v8),"r2",depart=d, pos=0) traci.vehicle.add(str(v9),"r2",depart=d, pos=0) traci.vehicle.add(str(v10),"r2",depart=d, pos=0) traci.vehicle.add(str(v11),"r2",depart=d, pos=0) traci.vehicle.add(str(v12),"r2",depart=d, pos=0) traci.vehicle.add(str(v13),"r3",depart=d, pos=0) traci.vehicle.add(str(v14),"r3",depart=d, pos=0) traci.vehicle.add(str(v15),"r3",depart=d, pos=0) traci.vehicle.add(str(v16),"r3",depart=d, pos=0) traci.vehicle.add(str(v17),"r3",depart=d, pos=0) traci.vehicle.add(str(v18),"r3",depart=d, pos=0) traci.vehicle.setColor(str(v1),(250,0,0,0)) traci.vehicle.setColor(str(v2),(250,0,0,0)) traci.vehicle.setColor(str(v3),(250,0,0,0)) traci.vehicle.setColor(str(v4),(250,0,0,0)) traci.vehicle.setColor(str(v5),(250,0,0,0)) traci.vehicle.setColor(str(v6),(250,0,0,0)) traci.vehicle.setColor(str(v7),(0,250,0,0)) traci.vehicle.setColor(str(v8),(0,250,0,0)) traci.vehicle.setColor(str(v9),(0,250,0,0)) traci.vehicle.setColor(str(v10),(0,250,0,0)) traci.vehicle.setColor(str(v11),(0,250,0,0)) traci.vehicle.setColor(str(v12),(0,250,0,0)) traci.vehicle.setColor(str(v13),(0,0,250,0)) traci.vehicle.setColor(str(v14),(0,0,250,0)) traci.vehicle.setColor(str(v15),(0,0,250,0)) traci.vehicle.setColor(str(v16),(0,0,250,0)) traci.vehicle.setColor(str(v17),(0,0,250,0)) traci.vehicle.setColor(str(v18),(0,0,250,0)) d=d+100 z=z+18 while ct < 32400000: traci.simulationStep() ct = simulation.getCurrentTime() #Insertion de vehicules sybiles p=traci.junction.getContextSubscriptionResults(junction_ID_1) if p is not None: temp=list(p) for x in temp: #g des vehicules sybiles que je ne veux pas coller a ma liste if ((vehicle_list.count(x)==0) & (int(x)<10000000)): vehicle_list.append(x) q=traci.junction.getContextSubscriptionResults(junction_ID_2) if q is not None: temp=list(q) for x in temp: #g des vehicules sybiles que je ne veux pas coller a ma liste if ((vehicle_list.count(x)==0) & (int(x)<1000000)): vehicle_list.append(x) r=traci.junction.getContextSubscriptionResults(junction_ID_3) if r is not None: temp=list(r) for x in temp: #g des vehicules sybiles que je ne veux pas coller a ma liste if ((vehicle_list.count(x)==0) & (int(x)<1000000)): vehicle_list.append(x) outputVehicle = "Sybil_3_A_2/vehicles_around_junction" + junction_ID_1 + junction_ID_2 + junction_ID_3+ str(opt.run) +".txt" with open(outputVehicle,'w') as out: for y in vehicle_list: out.write(y + '\n') out.close() traci.close() sys.stdout.flush()
def run(models, state_fn, action_time=12, learn=True, writer=None):
print("File beginning", flush=True)
tls_ids = tl.getIDList()
step() #traci.simulationStep()
s = [None for i in range(len(tls_ids))]
a = [None for i in range(len(tls_ids))]
r = [None for i in range(len(tls_ids))]
s_ = [None for i in range(len(tls_ids))]
next_action_times = np.zeros(len(tls_ids), dtype=int)
for t, tls_id in enumerate(tls_ids):
tl.setPhase(tls_id, 2)
# Find current states
s[t] = state_fn(tls_id)
checkpoint = False
while sim.getMinExpectedNumber() > 0:
if not checkpoint and "2000" in veh.getIDList():
writer.add_text("Rate switch", "Vehicle 2000 encountered",
sim.getCurrentTime())
checkpoint = True
for t, tls_id in enumerate(tls_ids):
db("Phase duration for " + tls_id, tl.getPhaseDuration(tls_id))
if next_action_times[t] > 0:
continue
tl.setPhaseDuration(tls_id, 10000)
# Take actions
a[t] = models[t].select_action(s[t])
current_phase = tl.getPhase(tls_id)
if a[t] * 2 != current_phase: # Change action
db('Change to other green light')
tl.setPhase(tls_id, (current_phase + 1) % 4)
#print("phase:", tl.getPhase("0"))
yellow_time = (tl.getNextSwitch(tls_id) -
sim.getCurrentTime()) // 1000
else:
yellow_time = 0
next_action_times[t] = action_time + yellow_time
db('actions:', a)
db("-" * 10)
# Move simulation forward one step and obtain reward
#db(action_time + yellow_time)
step_size = min(next_action_times)
for j in range(step_size):
step() #traci.simulationStep()
if sim.getMinExpectedNumber() <= 0:
return
next_action_times -= step_size
# Get some kind of reward signal from the E2 loops
# Let's say its negative of the number of cars on the loop
for t, tls_id in enumerate(tls_ids):
if next_action_times[t] > 0:
continue
r[t] = getReward(tls_id)
if writer:
writer.add_scalar('reward', r[t], sim.getCurrentTime())
rewards_t.append(r)
db("reward:", r)
s_[t] = state_fn(tls_id)
if learn:
models[t].update(s[t], a[t], r[t], s_[t], alpha)
s[t] = s_[t]
