def findConfidenceIntervalData():
n_people = 800
numberOfRuns = 5
timeNeededOfficerList = []
for i in range(0, numberOfRuns):
(exiting_list, entering_list, edge_list, parkingLots) = createMap("../GTMap.csv", n_people)
timeNeededOfficerList.append(
simulate(
exiting_list,
entering_list,
edge_list,
parkingLots,
"UGA Officer",
debug=True,
clock_tick_time=10,
output="dirty",
)
)
timeDifferentList = []
timeGreedyList = []
for i in range(0, numberOfRuns):
(exiting_list, entering_list, edge_list, parkingLots) = createMap("../GTMap.csv", n_people)
greedyTime = simulate(
exiting_list,
entering_list,
edge_list,
parkingLots,
"Greedy",
debug=True,
clock_tick_time=10,
output="dirty",
)
officerTime = timeNeededOfficerList[i]
timeGreedyList.append(greedyTime)
timeDifferentList.append(greedyTime - officerTime)
print "timeDifferentList: ", timeDifferentList
print "timeGreedyList: ", timeGreedyList
print "Police officer time list: ", timeNeededOfficerList
def main():
n_people = 800
numberOfRuns = 5
timeNeededOfficerList = []
for i in range(0, numberOfRuns):
(exiting_list, entering_list, edge_list, parkingLots) = createMap("../GTMap.csv", n_people)
timeNeededOfficerList.append(
simulate(
exiting_list,
entering_list,
edge_list,
parkingLots,
"UGA Officer",
debug=True,
clock_tick_time=10,
output="dirty",
)
)
def compareNumCarsToEvacTime():
n_people = 200
numberOfRuns = 1
times = []
while n_people <= 1000:
temp = []
for i in range(0, numberOfRuns):
(exiting_list, entering_list, edge_list, parkingLots) = createMap("../GTMap.csv", n_people)
temp.append(
simulate(
exiting_list,
entering_list,
edge_list,
parkingLots,
"UGA Officer",
debug=True,
clock_tick_time=10,
output="dirty",
)
)
times.append(temp)
n_people += 200
print "[ [200 people], [400 people], [600 people], [800 people], [1000 people]]: ", times
def compareGaussianAndExponential():
"""Note: not quite working"""
n_people = 800
numberOfRuns = 5
times = []
temp = []
# #run with normal distribution
# for i in range(0,numberOfRuns):
# (exiting_list, entering_list, edge_list, parkingLots) = createMap("../GTMap.csv",n_people, 'normal')
# temp.append(simulate(exiting_list, entering_list, edge_list, parkingLots, "UGA Officer",debug=True,clock_tick_time=10
# ,output='dirty'))
# times.append(temp)
# run with exponential distribution
temp = []
for i in range(0, numberOfRuns):
(exiting_list, entering_list, edge_list, parkingLots) = createMap("../GTMap.csv", n_people, "exponential")
people = 0
for lot in parkingLots:
people += lot.capacity
# if people > 14000 and people < 15000:
temp.append(
simulate(
exiting_list,
entering_list,
edge_list,
parkingLots,
"UGA Officer",
debug=True,
clock_tick_time=10,
output="dirty",
)
)
times.append(temp)
print "[ [five times for gaussian], [five times for exponential] ]: ", times
