def pheromone_update():
global pheromone
received = request.args
global request_queue
request_queue.append({
"timestamp":
datetime.datetime.now().strftime("%H:%M:%S"),
"type":
"broadcastPheromone"
})
centroids_new = []
route = received["route"]
route = [list(map(float, i.split(','))) for i in route.split(";")]
for i in route:
pos = aco.convert_to_xy(i)
pt = aco.get_nearest_centroid(pos)
centroids_new.append(pt)
for i in range(1, len(centroids_new)):
try:
pheromone[centroids_new[i - 1]][centroids_new[i]] = (
1 - evaporation_factor) * pheromone[centroids_new[i - 1]][
centroids_new[i]] + evaporation_factor / float(
received["cost"])
except ZeroDivisionError:
pheromone[centroids_new[i - 1]][centroids_new[i]] = (
1 - evaporation_factor) * pheromone[centroids_new[i - 1]][
centroids_new[i]] + evaporation_factor / 999
print("pheromone matrix updated for taxi id:", taxi["id"])
return ("Broadcasting Done.")
def get_nearest_taxis():
recieved = request.args
passLoc = [float(recieved['src_lat']), float(recieved['src_lon'])]
grid_no = aco.get_nearest_centroid(aco.convert_to_xy(passLoc))
if grid_no in taxis_in_grids:
return (json.dumps({'taxis': taxis_in_grids[grid_no]}))
else:
return (json.dumps({'taxis': []}))
def pheromone_update():
global pheromone
received = request.args
centroids_new = []
route = received["route"]
route = [list(map(float,i.split(','))) for i in route.split(";")]
for i in route:
pos = aco.convert_to_xy(i)
pt = aco.get_nearest_centroid(pos)
centroids_new.append(pt)
for i in range(1,len(centroids_new)):
pheromone[centroids_new[i-1]][centroids_new[i]] = (1-evaporation_factor)*pheromone[centroids_new[i-1]][centroids_new[i]] + evaporation_factor / float(received["cost"])
print("pheromone matrix updated for taxi id:",taxi["id"])
return("Broadcasting Done.")
def update_my_pheromone(cost_params):
global pheromone
received = cost_params
centroids_new = []
route = received["route"]
route = [list(map(float,i.split(','))) for i in route.split(";")]
for i in route:
pos = aco.convert_to_xy(i)
pt = aco.get_nearest_centroid(pos)
centroids_new.append(pt)
for i in range(1,len(centroids_new)):
try:
pheromone[centroids_new[i-1]][centroids_new[i]] = (1-evaporation_factor)*pheromone[centroids_new[i-1]][centroids_new[i]] + evaporation_factor / float(received["cost"])
except ZeroDivisionError:
pheromone[centroids_new[i-1]][centroids_new[i]] = (1-evaporation_factor)*pheromone[centroids_new[i-1]][centroids_new[i]] + evaporation_factor / 999
print("pheromone matrix updated for taxi id:",taxi["id"])
return("Broadcasting Done.")
def update_taxi_location():
global taxi_locations
global t
print("updating...")
temp_taxi_locations = []
for i in range(start_port, start_port + taxi_id - 1):
r = requests.get(url=url_taxi + str(i) + "/liveTrack")
data = r.json()
taxiLoc = data['curr']
grid_no = aco.get_nearest_centroid(
aco.convert_to_xy([float(taxiLoc[0]),
float(taxiLoc[1])]))
temp_taxi_locations.append([float(taxiLoc[0]), float(taxiLoc[1])])
remove_previous_grid_loc(int(i) - start_port + 1)
if grid_no in taxis_in_grids:
taxis_in_grids[grid_no].append(int(i) - start_port + 1)
else:
taxis_in_grids[grid_no] = [int(i) - start_port + 1]
taxi_locations = temp_taxi_locations
if (t.is_alive):
t.cancel()
t = Timer(int(params['update_taxi_location_timer']),
update_taxi_location)
t.start()
params = get_parameters()
centroids = np.load(params["centroids_file"])
n_grids = centroids.shape[0]
no_of_taxis = int(params["no_of_taxis"])
start_port = int(params["start_port"])
url_taxi = params["url_taxi_ip"]
with open(params["taxi_init_file"]) as taxi:
csv_reader = csv.reader(taxi, delimiter=',')
taxi_id = 1
for row in csv_reader:
taxi_locations.append([float(row[0]), float(row[1])])
grid_no = aco.get_nearest_centroid(
aco.convert_to_xy([float(row[0]), float(row[1])]))
if grid_no in taxis_in_grids:
taxis_in_grids[grid_no].append(taxi_id)
else:
taxis_in_grids[grid_no] = [taxi_id]
taxi_id += 1
def remove_previous_grid_loc(taxi_no):
for i in taxis_in_grids:
if (taxi_no in taxis_in_grids[i]):
taxis_in_grids[i].remove(taxi_no)
break
def update_taxi_location():
