def clustering_data(testset="./testing/testroutes/test400-%d/", nr=5):
fuel_savings = []
for method in [
GreedyPlatooning(),
SubModularityPlatooning(True),
SubModularityPlatooning(False)
]:
fuel_savings.append(
average_fuel_savings(method,
[testset % (x + 1) for x in range(nr)],
interval=600))
print fuel_savings
email_settings.mail("*****@*****.**", "Partial results",
str(fuel_savings))
return fuel_savings
def test_100_1_sub_deterministic(self):
result = simulation("./testroutes/test100-1/",
SubModularityPlatooning())
self.assertAlmostEqual(result["f_relat_before_convex"],
0.0273863272861,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_after_convex"],
0.0338613632423,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_spont_plat"],
0.00570467709984,
delta=10**-10)
self.assertAlmostEqual(result["f_total_before_convex"],
11583.2867619,
delta=10**-5)
self.assertAlmostEqual(result["f_total_after_convex"],
11506.1726925,
delta=10**-5)
self.assertAlmostEqual(result["f_total_default"],
11909.4426563,
delta=10**-5)
self.assertEqual(
str(result["leaders"]),
"{0: -1, 1: -1, 2: -1, 3: -1, 4: -1, 5: 50, 6: -1, 7: -1, 8: -1, 9: -1, 10: -1, 11: -1, 12: -1, 13: -1, 14: -1, 15: 16, 16: -1, 17: -1, 18: -1, 19: 2, 20: -1, 21: 17, 22: 2, 23: 17, 24: -1, 25: -1, 26: -1, 27: 36, 28: -1, 29: -1, 30: -1, 31: 80, 32: 97, 33: -1, 34: -1, 35: -1, 36: -1, 37: -1, 38: -1, 39: -1, 40: 13, 41: 17, 42: -1, 43: -1, 44: -1, 45: 38, 46: -1, 47: -1, 48: 76, 49: 91, 50: -1, 51: -1, 52: -2, 53: 38, 54: -1, 55: 86, 56: -1, 57: 97, 58: -2, 59: -1, 60: -1, 61: -2, 62: -2, 63: 13, 64: 76, 65: 2, 66: -1, 67: 76, 68: -1, 69: 13, 70: -1, 71: 25, 72: 14, 73: -1, 74: -1, 75: -1, 76: -1, 77: -1, 78: -2, 79: 87, 80: -1, 81: -1, 82: 75, 83: -1, 84: 17, 85: -1, 86: -1, 87: -1, 88: 7, 89: -1, 90: -1, 91: -1, 92: 18, 93: -1, 94: 75, 95: 42, 96: -1, 97: -1, 98: -1, 99: 34}"
)
self.assertEqual(
str(result["size_stats"]),
"{1: 20600342.78173627, 2: 8440275.6222278755, 3: 5991308.5154216019, 4: 721856.07384094852, 5: 536825.43752831628}"
)
pass
def test_100_3_sub_stochastic(self):
result = simulation("./testroutes/test100-3/",
SubModularityPlatooning(False))
self.assertAlmostEqual(result["f_relat_before_convex"],
0.0285522448279,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_after_convex"],
0.0350465994424,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_spont_plat"],
0.00154438410258,
delta=10**-10)
self.assertAlmostEqual(result["f_total_before_convex"],
12002.0361247,
delta=10**-5)
self.assertAlmostEqual(result["f_total_after_convex"],
11921.7997164,
delta=10**-5)
self.assertAlmostEqual(result["f_total_default"],
12354.7932051,
delta=10**-5)
self.assertEqual(
str(result["leaders"]),
"{0: -2, 1: -2, 2: 41, 3: -2, 4: -2, 5: 17, 6: -2, 7: 22, 8: 58, 9: 74, 10: 28, 11: -2, 12: -2, 13: -2, 14: 83, 15: 70, 16: 73, 17: -1, 18: 83, 19: 88, 20: -2, 21: -2, 22: -1, 23: -2, 24: -2, 25: -2, 26: -2, 27: 83, 28: -1, 29: -2, 30: 95, 31: -2, 32: 28, 33: 58, 34: -2, 35: -2, 36: 91, 37: -2, 38: -2, 39: 81, 40: -2, 41: -1, 42: 66, 43: 45, 44: 65, 45: -1, 46: 41, 47: 56, 48: -2, 49: -2, 50: -2, 51: -2, 52: -2, 53: 87, 54: 94, 55: 22, 56: -1, 57: 22, 58: -1, 59: 45, 60: -2, 61: 70, 62: -2, 63: -2, 64: 70, 65: -1, 66: -1, 67: -2, 68: -2, 69: 81, 70: -1, 71: 77, 72: 94, 73: -1, 74: -1, 75: 74, 76: -1, 77: -1, 78: 99, 79: 81, 80: 70, 81: -1, 82: -2, 83: -1, 84: -1, 85: -2, 86: -2, 87: -1, 88: -1, 89: -2, 90: -2, 91: -1, 92: -2, 93: -2, 94: -1, 95: -1, 96: -2, 97: -2, 98: -2, 99: -1}"
)
self.assertEqual(
str(result["size_stats"]),
"{1: 34117317.054063261, 2: 11598995.187892754, 3: 3801114.0503829536, 4: 1727890.3481982246, 5: 629625.18908578646}"
)
pass
def test_100_3_sub_deterministic(self):
result = simulation("./testroutes/test100-3/",
SubModularityPlatooning())
self.assertAlmostEqual(result["f_relat_before_convex"],
0.0258677692977,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_after_convex"],
0.0318540683147,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_spont_plat"],
0.00154438410258,
delta=10**-10)
self.assertAlmostEqual(result["f_total_before_convex"],
12035.2022647,
delta=10**-5)
self.assertAlmostEqual(result["f_total_after_convex"],
11961.2427783,
delta=10**-5)
self.assertAlmostEqual(result["f_total_default"],
12354.7932051,
delta=10**-5)
self.assertEqual(
str(result["leaders"]),
"{0: -1, 1: -2, 2: -1, 3: -1, 4: -1, 5: 17, 6: -2, 7: -1, 8: -1, 9: -1, 10: -1, 11: -2, 12: -1, 13: -1, 14: -1, 15: -1, 16: -1, 17: -1, 18: 89, 19: -1, 20: -1, 21: -2, 22: 7, 23: -1, 24: -2, 25: -1, 26: -1, 27: 83, 28: 10, 29: -1, 30: -1, 31: -1, 32: -1, 33: 8, 34: -1, 35: -1, 36: 91, 37: -1, 38: -1, 39: -1, 40: -1, 41: 2, 42: 66, 43: -1, 44: 65, 45: 43, 46: 2, 47: -1, 48: -1, 49: -1, 50: -2, 51: -1, 52: -1, 53: 87, 54: -1, 55: -1, 56: 47, 57: 7, 58: 8, 59: 43, 60: -1, 61: -1, 62: -1, 63: -2, 64: 15, 65: -1, 66: -1, 67: -1, 68: -1, 69: -1, 70: 61, 71: -1, 72: 54, 73: 16, 74: 9, 75: -1, 76: -1, 77: 71, 78: -1, 79: 69, 80: 61, 81: 69, 82: -1, 83: -1, 84: -1, 85: -1, 86: -1, 87: -1, 88: 19, 89: -1, 90: -1, 91: -1, 92: -1, 93: -2, 94: 54, 95: 30, 96: -1, 97: -1, 98: 9, 99: 78}"
)
self.assertEqual(
str(result["size_stats"]),
"{1: 25766567.702515189, 2: 11550479.778420774, 3: 5309360.7035690071}"
)
pass
def test_100_2_sub_stochastic(self):
result = simulation("./testroutes/test100-2/",
SubModularityPlatooning(False))
self.assertAlmostEqual(result["f_relat_before_convex"],
0.030729417679,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_after_convex"],
0.0366896249595,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_spont_plat"],
0.00231776588647,
delta=10**-10)
self.assertAlmostEqual(result["f_total_before_convex"],
12921.3676419,
delta=10**-5)
self.assertAlmostEqual(result["f_total_after_convex"],
12841.9119864,
delta=10**-5)
self.assertAlmostEqual(result["f_total_default"],
13331.0221909,
delta=10**-5)
self.assertEqual(
str(result["leaders"]),
"{0: 81, 1: -2, 2: -2, 3: 85, 4: 95, 5: -2, 6: 41, 7: -2, 8: -2, 9: -1, 10: -2, 11: -2, 12: -2, 13: 44, 14: -2, 15: 37, 16: 44, 17: 37, 18: -2, 19: -1, 20: 80, 21: 41, 22: 95, 23: -2, 24: -2, 25: -2, 26: 28, 27: 98, 28: -1, 29: -1, 30: 99, 31: -2, 32: -2, 33: -2, 34: -2, 35: -2, 36: 90, 37: -1, 38: -2, 39: -2, 40: 90, 41: -1, 42: 54, 43: -2, 44: -1, 45: -2, 46: 72, 47: -2, 48: -2, 49: 98, 50: -2, 51: -2, 52: 98, 53: -2, 54: -1, 55: 80, 56: -2, 57: 68, 58: -2, 59: -2, 60: -2, 61: 91, 62: 81, 63: -2, 64: -2, 65: -2, 66: -1, 67: 68, 68: -1, 69: -2, 70: 80, 71: -2, 72: -1, 73: -2, 74: 88, 75: -2, 76: -2, 77: -2, 78: 88, 79: 86, 80: -1, 81: -1, 82: 80, 83: -2, 84: 44, 85: -1, 86: -1, 87: -2, 88: -1, 89: -2, 90: -1, 91: -1, 92: -2, 93: 88, 94: -2, 95: -1, 96: -2, 97: 37, 98: -1, 99: -1}"
)
self.assertEqual(
str(result["size_stats"]),
"{1: 35758096.643980756, 2: 7755905.8848997885, 3: 8152817.3966050958, 4: 2897775.1861005165, 5: 115098.54569184608}"
)
pass
def test_100_2_sub_deterministic(self):
result = simulation("./testroutes/test100-2/",
SubModularityPlatooning())
self.assertAlmostEqual(result["f_relat_before_convex"],
0.0273089531856,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_after_convex"],
0.0354236491422,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_spont_plat"],
0.00231776588647,
delta=10**-10)
self.assertAlmostEqual(result["f_total_before_convex"],
12966.96593,
delta=10**-5)
self.assertAlmostEqual(result["f_total_after_convex"],
12858.7887381,
delta=10**-5)
self.assertAlmostEqual(result["f_total_default"],
13331.0221909,
delta=10**-5)
self.assertEqual(
str(result["leaders"]),
"{0: -1, 1: -1, 2: -1, 3: -1, 4: -1, 5: -1, 6: -1, 7: -1, 8: -1, 9: -1, 10: -1, 11: -1, 12: -1, 13: -1, 14: -2, 15: -1, 16: 13, 17: 15, 18: -1, 19: 6, 20: -1, 21: 6, 22: 4, 23: -2, 24: -1, 25: -1, 26: 28, 27: -1, 28: -1, 29: -1, 30: -1, 31: -2, 32: -2, 33: -1, 34: -1, 35: -1, 36: -1, 37: 15, 38: -2, 39: -1, 40: 36, 41: 6, 42: 54, 43: -1, 44: 13, 45: -1, 46: 72, 47: -1, 48: -1, 49: 27, 50: -1, 51: -1, 52: 27, 53: -1, 54: -1, 55: -1, 56: -1, 57: -1, 58: -1, 59: -1, 60: -1, 61: 91, 62: 81, 63: -1, 64: -1, 65: -1, 66: -1, 67: 68, 68: -1, 69: -1, 70: 55, 71: -1, 72: -1, 73: -1, 74: -1, 75: -1, 76: -1, 77: -1, 78: 74, 79: -1, 80: 55, 81: -1, 82: 55, 83: -1, 84: 13, 85: 3, 86: 79, 87: -1, 88: 74, 89: -2, 90: -1, 91: -1, 92: -2, 93: 74, 94: -1, 95: 4, 96: -2, 97: 15, 98: 27, 99: 30}"
)
self.assertEqual(
str(result["size_stats"]),
"{1: 23713844.123447031, 2: 7420319.3830553191, 3: 6587465.0402527712, 4: 3150574.1376828845}"
)
pass
def test_100_1_sub_stochastic(self):
result = simulation("./testroutes/test100-1/",
SubModularityPlatooning(False))
self.assertAlmostEqual(result["f_relat_before_convex"],
0.0291954758373,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_after_convex"],
0.0346069214157,
delta=10**-10)
self.assertAlmostEqual(result["f_relat_spont_plat"],
0.00570467709984,
delta=10**-10)
self.assertAlmostEqual(result["f_total_before_convex"],
11561.740811,
delta=10**-5)
self.assertAlmostEqual(result["f_total_after_convex"],
11497.2935102,
delta=10**-5)
self.assertAlmostEqual(result["f_total_default"],
11909.4426563,
delta=10**-5)
self.assertEqual(
str(result["leaders"]),
"{0: -2, 1: -2, 2: 65, 3: -1, 4: -2, 5: -2, 6: -1, 7: 88, 8: -2, 9: -2, 10: -2, 11: 97, 12: -2, 13: 40, 14: 72, 15: 16, 16: -1, 17: 23, 18: 92, 19: 65, 20: -2, 21: 23, 22: 65, 23: -1, 24: -2, 25: 76, 26: -2, 27: 36, 28: -2, 29: -2, 30: -2, 31: -2, 32: 97, 33: -2, 34: 99, 35: 91, 36: -1, 37: -2, 38: 45, 39: -2, 40: -1, 41: 23, 42: 95, 43: -2, 44: -1, 45: -1, 46: -2, 47: -2, 48: 76, 49: 91, 50: -2, 51: -2, 52: -2, 53: 45, 54: -2, 55: 86, 56: -2, 57: 97, 58: -2, 59: -1, 60: -2, 61: -2, 62: -2, 63: 40, 64: 76, 65: -1, 66: -2, 67: 76, 68: -2, 69: 40, 70: -2, 71: -2, 72: -1, 73: -2, 74: -2, 75: 94, 76: -1, 77: -2, 78: -2, 79: 87, 80: -2, 81: -2, 82: 94, 83: -2, 84: -2, 85: -2, 86: -1, 87: -1, 88: -1, 89: -2, 90: -2, 91: -1, 92: -1, 93: -2, 94: -1, 95: -1, 96: -2, 97: -1, 98: -2, 99: -1}"
)
self.assertEqual(
str(result["size_stats"]),
"{1: 31634554.829269029, 2: 6913786.7017660597, 3: 7032369.4490456125, 4: 2238474.3314653146}"
)
pass
def interval_data():
total = []
for method in [
GreedyPlatooning(),
RandomPlatooning(0),
SubModularityPlatooning(True),
SubModularityPlatooning(False)
]:
savings = []
for interval in range(600, 14410, 600):
print "%d/14400" % interval
fuel_savings = average_fuel_savings(method, [
'./testing/testroutes/test400-1/',
'./testing/testroutes/test400-2/',
'./testing/testroutes/test400-3/',
'./testing/testroutes/test400-4/',
'./testing/testroutes/test400-5/'
],
interval=interval)
savings.append(fuel_savings)
print fuel_savings
total.append(savings)
print total
return total
def test_100_3_sub_stochastic(self):
result = dynamic_simulation(SubModularityPlatooning(False), folder='./testroutes/test100-3/')
fuel_saving = sum([x.current_fuel_consumption() for x in result]) / sum([x.default_plan.fuel for x in result])
print fuel_saving
self.assertAlmostEqual(0.970021555973, fuel_saving, delta=10 ** -10)
def test_100_2_sub_deterministic(self):
result = dynamic_simulation(SubModularityPlatooning(), folder='./testroutes/test100-2/')
fuel_saving = sum([x.current_fuel_consumption() for x in result]) / sum([x.default_plan.fuel for x in result])
print fuel_saving
self.assertAlmostEqual(0.968308771047, fuel_saving, delta=10 ** -10)
