def test2():
# simulation demo
# set up the scenario
scenario = Scenario(Mobility())
scenario.setup_vehicle_pools()
total_sim_rounds = int(
np.ceil(scenario.TOTAL_SIM_TIME / scenario.ONEHOP_DELAY))
input_time_counts = np.zeros((2 * scenario.LANE_NUM_PER_DIRECT, ),
dtype=float)
for time_flag in range(total_sim_rounds):
input_time_counts = input_time_counts \
+ np.ones((2*scenario.LANE_NUM_PER_DIRECT,),dtype=float)*scenario.ONEHOP_DELAY
scenario.update_position()
scenario.communication()
for lane_ID in range(scenario.LANE_NUM_PER_DIRECT):
# right pool
if input_time_counts[lane_ID] >= scenario.right_arrival_dt[lane_ID]:
scenario.input_vehicle(1, lane_ID)
input_time_counts[lane_ID] = 0.0
if input_time_counts[lane_ID +
2] >= scenario.left_arrival_dt[lane_ID]:
scenario.input_vehicle(2, lane_ID)
input_time_counts[lane_ID + 2] = 0.0
This module builds a simulation demo of VANETs based on epidemic routing.
"""
import numpy as np
import matplotlib.animation as animation
import matplotlib.pyplot as plt
from vehicle import Mobility
from scenario import Scenario
# simulation demo
#------------------------------------------------------------------------------
# set up the scenario
scenario = Scenario(
Mobility(),
road_length=10000, # the length of the road in meter
two_direction=True, # bool-type flag indicates the directions
lane_width=5.0, # lane width
lane_num_per_direct=2, # the number of lanes per direction
vehicle_length=5.0, # length of a vehicle in meter
onehop_delay=10.0 *
10**(-3), # the delay in one-hop communication in second
total_sim_time=60.0, # total simulation time in second
scenario_flag="Freeway_Free",
commR=50.0)
scenario.setup_vehicle_pools()
#------------------------------------------------------------------------------
# set up basic plot
total_sim_rounds = int(np.ceil(scenario.TOTAL_SIM_TIME /
def test1():
mobility = Mobility()
scenario = Scenario(mobility)
scenario.setup_vehicle_pools()