def get_random_coordinates_sudden_dip(num_coordinates):
result = []
current_coordinate = SEED_COORDINATE
time_stamp = datetime.datetime.now()
first_stamp = time_stamp
unique_id = uuid.uuid4()
first_car_data = []
for i in range(num_coordinates / 3):
distance_travelled = SEED_VELOCITY * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate,
distance_travelled,
SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
for i in range(num_coordinates / 3):
distance_travelled = (SEED_VELOCITY - 10) * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate,
distance_travelled,
SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
for i in range(num_coordinates / 3):
distance_travelled = SEED_VELOCITY * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate,
distance_travelled,
SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
result.append(first_car_data)
return result
def get_motion_for_vehicles(num_vehicles, num_coordinates):
result = {}
# Initialization
for i in range(num_vehicles):
unique_id = uuid.uuid4()
result[unique_id] = []
current_velocity = SEED_VELOCITY
current_coordinate = SEED_COORDINATE
time_stamp = datetime.datetime.now()
first_stamp = time_stamp
# Working
for i in range(num_coordinates):
current_key = "temporary"
changes = {}
for key in result.keys():
current_key = key
random_conditions = randomize_conditions(5)
if current_velocity + random_conditions['velocity_change'] < 55:
current_velocity = current_velocity - random_conditions['velocity_change']
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION)
current_coordinate = next_coordinate
changes['car_id'] = str(key)
changes['latitude'] = current_coordinate[0]
changes['longitude'] = current_coordinate[1]
changes['time_stamp'] = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
#endfor
time_stamp = time_stamp + datetime.timedelta(0, 60)
result[current_key].append(changes)
pass
#endfor
return result
def get_n_car_motion_for_random_coordinates(num_coordinates, num_cars):
result = []
current_velocity = SEED_VELOCITY
current_coordinate = SEED_COORDINATE
time_stamp = datetime.datetime.now()
first_stamp = time_stamp
unique_id = uuid.uuid4()
first_car_data = []
for i in range(num_coordinates):
random_error = random.random()
random_range = random.randint(0, 5)
velocity_change = random_range*random_error
random_direction = random.randint(0, 1)
if random_direction == 0:
current_velocity = current_velocity - velocity_change
elif random_direction == 1:
current_velocity = current_velocity + velocity_change
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = str(time_stamp)
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
result.append(first_car_data)
for i in range(num_cars-1):
secondary_car_data = get_car_motion_for_coordinates(first_car_data, first_stamp)
result.append(secondary_car_data)
return result
def get_random_coordinates_with_accident(num_coordinates): current_velocity = SEED_VELOCITY current_coordinate = SEED_COORDINATE accident = random.randint(1, num_coordinates-1) has_crashed = False for x in xrange(1,num_coordinates): random_dict = randomize_conditions(5) if has_crashed: has_crashed = False current_velocity = SEED_VELOCITY_CRASHED if x == accident: has_crashed = True current_velocity = 0 csv = str(current_coordinate[0]) + ',' + str(current_coordinate[1]) + ', Accident' print(csv) continue if random_dict['direction'] == 0: current_velocity = current_velocity - random_dict['velocity_change'] elif random_dict['direction'] == 1: current_velocity = current_velocity + random_dict['velocity_change'] distance_travelled = current_velocity * SEED_TIME next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION) csv = str(current_coordinate[0]) + ',' + str(current_coordinate[1]) + ' : ' + str(distance_travelled) print(csv)
def get_random_coordinates_sudden_dip(num_coordinates):
result = []
current_coordinate = SEED_COORDINATE
time_stamp = datetime.datetime.now()
first_stamp = time_stamp
unique_id = uuid.uuid4()
first_car_data = []
for i in range(num_coordinates/3):
distance_travelled = SEED_VELOCITY * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = str(time_stamp)
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
for i in range(num_coordinates/3):
distance_travelled = (SEED_VELOCITY-10) * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = str(time_stamp)
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
for i in range(num_coordinates/3):
distance_travelled = SEED_VELOCITY * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = str(time_stamp)
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
result.append(first_car_data)
return result
def get_random_coordinates_positive_acceleration(num_coordinates): current_velocity = SEED_VELOCITY current_coordinate = SEED_COORDINATE for i in range(num_coordinates): random_error = random.random() random_range = random.randint(0, 5) velocity_change = random_range*random_error current_velocity = current_velocity + velocity_change distance_travelled = current_velocity * SEED_TIME next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION) current_coordinate = next_coordinate csv = str(next_coordinate[0]) + ',' + str(next_coordinate[1]) print(csv)
def get_random_coordinates_positive_acceleration(num_coordinates):
current_velocity = SEED_VELOCITY
current_coordinate = SEED_COORDINATE
for i in range(num_coordinates):
random_error = random.random()
random_range = random.randint(0, 5)
velocity_change = random_range * random_error
current_velocity = current_velocity + velocity_change
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate,
distance_travelled,
SEED_DIRECTION)
current_coordinate = next_coordinate
csv = str(next_coordinate[0]) + ',' + str(next_coordinate[1])
print(csv)
def get_weather_dependent_motion_for_vehicles(num_vehicles, num_coordinates):
result = {}
# Initialization
for i in range(num_vehicles):
unique_id = uuid.uuid4()
result[unique_id] = []
current_velocity = SEED_VELOCITY
current_coordinate = SEED_COORDINATE
time_stamp = datetime.datetime.now()
first_stamp = time_stamp
# Working
for i in range(num_coordinates):
current_key = "temporary"
changes = {}
for key in result.keys():
current_key = key
random_conditions = randomize_conditions(5)
weather = weather_conditions(current_coordinate, datetime.now())
current_velocity = get_speed_change(current_velocity, weather, result[key][-1])
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION)
current_coordinate = next_coordinate
changes['car_id'] = str(key)
changes['latitude'] = current_coordinate[0]
changes['longitude'] = current_coordinate[1]
changes['time_stamp'] = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
changes['windspeed'] = weather['wind']
changes['snow'] = weather['snow']
changes['tmin'] = weather['tmin']
vehicle_set[key] = (changes['latitude'], changes['longitude'])
accident_vehicle = check_accident(key)
#endfor
time_stamp = time_stamp + datetime.timedelta(0, 60)
result[current_key].append(changes)
pass
#endfor
return result
def get_n_car_motion_for_random_coordinates(num_coordinates, num_cars):
result = []
current_velocity = SEED_VELOCITY
current_coordinate = SEED_COORDINATE
time_stamp = datetime.datetime.now()
first_stamp = time_stamp
unique_id = uuid.uuid4()
first_car_data = []
for i in range(num_coordinates):
random_error = random.random()
random_range = random.randint(0, 5)
velocity_change = random_range * random_error
random_direction = random.randint(0, 1)
if random_direction == 0:
current_velocity = current_velocity - velocity_change
elif random_direction == 1:
current_velocity = current_velocity + velocity_change
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate,
distance_travelled,
SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
result.append(first_car_data)
for i in range(num_cars - 1):
secondary_car_data = get_car_motion_for_coordinates(
first_car_data, first_stamp)
result.append(secondary_car_data)
return result
def get_random_coordinates_sudden_dip_varying(num_coordinates):
result = []
current_coordinate = SEED_COORDINATE
time_stamp = datetime.datetime.now()
first_stamp = time_stamp
unique_id = uuid.uuid4()
first_car_data = []
current_velocity = SEED_VELOCITY
for i in range(num_coordinates / 3):
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate,
distance_travelled,
SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
random_dict = randomize_conditions(2)
print(i, current_velocity)
if random_dict['direction'] == 1:
current_velocity = current_velocity + random_dict['velocity_change']
if random_dict['direction'] == 0:
if current_velocity + random_dict['velocity_change'] > 10:
current_velocity = current_velocity - random_dict[
'velocity_change']
current_velocity = current_velocity - 8
for i in range(num_coordinates / 3):
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate,
distance_travelled,
SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
random_dict = randomize_conditions(2)
print(i, current_velocity)
if random_dict['direction'] == 1:
current_velocity = current_velocity + random_dict['velocity_change']
if random_dict['direction'] == 0:
if current_velocity + random_dict['velocity_change'] > 6:
current_velocity = current_velocity - random_dict[
'velocity_change']
current_velocity = current_velocity + 8
for i in range(num_coordinates / 3):
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate,
distance_travelled,
SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = time_stamp.strftime("%Y-%m-%d %H:%M:%S")
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
random_dict = randomize_conditions(2)
print(i, current_velocity)
if random_dict['direction'] == 1:
current_velocity = current_velocity + random_dict['velocity_change']
if random_dict['direction'] == 0:
if current_velocity + random_dict['velocity_change'] > 10:
current_velocity = current_velocity - random_dict[
'velocity_change']
result.append(first_car_data)
return result
def get_random_coordinates_sudden_dip_varying(num_coordinates):
result = []
current_coordinate = SEED_COORDINATE
time_stamp = datetime.datetime.now()
first_stamp = time_stamp
unique_id = uuid.uuid4()
first_car_data = []
current_velocity = SEED_VELOCITY
for i in range(num_coordinates/3):
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = str(time_stamp)
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
random_dict = randomize_conditions(2)
print(i, current_velocity)
if random_dict['direction'] == 1:
current_velocity = current_velocity + random_dict['velocity_change']
if random_dict['direction'] == 0:
if current_velocity + random_dict['velocity_change'] > 10:
current_velocity = current_velocity - random_dict['velocity_change']
current_velocity = current_velocity - 8
for i in range(num_coordinates/3):
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = str(time_stamp)
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
random_dict = randomize_conditions(2)
print(i, current_velocity)
if random_dict['direction'] == 1:
current_velocity = current_velocity + random_dict['velocity_change']
if random_dict['direction'] == 0:
if current_velocity + random_dict['velocity_change'] > 6:
current_velocity = current_velocity - random_dict['velocity_change']
current_velocity = current_velocity + 8
for i in range(num_coordinates/3):
distance_travelled = current_velocity * SEED_TIME
next_coordinate = geo.predict_next_coordinate(current_coordinate, distance_travelled, SEED_DIRECTION)
current_coordinate = next_coordinate
json_object = {}
json_object['car_id'] = str(unique_id)
json_object['latitude'] = current_coordinate[0]
json_object['longitude'] = current_coordinate[1]
json_object['time_stamp'] = str(time_stamp)
first_car_data.append(json_object)
time_stamp = time_stamp + datetime.timedelta(0, 300)
random_dict = randomize_conditions(2)
print(i, current_velocity)
if random_dict['direction'] == 1:
current_velocity = current_velocity + random_dict['velocity_change']
if random_dict['direction'] == 0:
if current_velocity + random_dict['velocity_change'] > 10:
current_velocity = current_velocity - random_dict['velocity_change']
result.append(first_car_data)
return result