#!/usr/bin/env python
import rospy
from geometry_msgs.msg import Pose
from gazebo_msgs.msg import ModelState
from Queue import Queue
from Classes.Simulation import *
if __name__ == "__main__":
sim = Simulation()
sim.r = rospy.Rate(100)
while not rospy.is_shutdown():
sim.r.sleep()
#Choices:
#demand_is = 'Unknown' # 'Unknown' or 'Known'
NumberOfStations = 35 # keep it to 35 for the moment
NumberOfTrucks = 6 # Number of repositioning trucks
TruckCapacity = 40 # Capacity of each repositioning truck
UseMTZ = True # MTZ constraints or DL
ValidInequalities = True # Use of a model with valid inequalities
InitialNoOfBikesPerStation = 5 # Number of bikes at the beginning in each station
NumberOfDays = 3 # Number of days to repeat the simulation
TimeLimit = 1e75 # Maximum seconds to solve the rebalancing model
#Initialise the Rebalancing Operations and simulation classes:
t1 = time.time()
Rebalancing = RebalancingOperations(mtz=UseMTZ, vi=ValidInequalities)
Simulation = Simulation(nSt=NumberOfStations,
FirstBikesPerStation=InitialNoOfBikesPerStation)
#Initialise the results lists
UnknownCost = []
UnknownLostDemandList = []
UnknownConfigIniList = []
UnknownConfigFinList = []
UnknownSimTime = []
UnknownRebTime = []
KnownCost = []
KnownLostDemandList = []
KnownConfigIniList = []
KnownConfigFinList = []
KnownSimTime = []
KnownRebTime = []
Trucks = []
