diff --git a/conflowgen/api/container_dwell_time_distribution_manager.py b/conflowgen/api/container_dwell_time_distribution_manager.py
index 8c60d54d..7fa65bc2 100644
--- a/conflowgen/api/container_dwell_time_distribution_manager.py
+++ b/conflowgen/api/container_dwell_time_distribution_manager.py
@@ -62,7 +62,8 @@ def set_container_dwell_time_distribution(
         )
         DataSummariesCache.reset_cache()
 
-    def get_average_container_dwell_time(self, start_date: datetime.date, end_date: datetime.date) -> float:
+    @staticmethod
+    def get_average_container_dwell_time(start_date: datetime.date, end_date: datetime.date) -> float:
         """
         Uses :class:`.ModeOfTransportDistributionManager` to calculate the expected average container dwell time
         based on the scheduled container flow.
diff --git a/conflowgen/api/truck_arrival_distribution_manager.py b/conflowgen/api/truck_arrival_distribution_manager.py
index 7c1ac4b0..8be94772 100644
--- a/conflowgen/api/truck_arrival_distribution_manager.py
+++ b/conflowgen/api/truck_arrival_distribution_manager.py
@@ -29,7 +29,7 @@ def get_truck_arrival_distribution(self) -> typing.Dict[int, float]:
         """
         return self.truck_arrival_distribution_repository.get_distribution()
 
-    def set_truck_arrival_distribution(self, distribution: typing.Dict[int, float]) -> None:
+    def set_truck_arrival_distribution(self, distribution: typing.Dict[float, float]) -> None:
         """
 
         Args:
@@ -40,7 +40,7 @@ def set_truck_arrival_distribution(self, distribution: typing.Dict[int, float])
         """
         sanitized_distribution = self._normalize_and_validate_distribution_without_dependent_variables(
             distribution,
-            int,
+            float,
             values_are_frequencies=True
         )
         self.truck_arrival_distribution_repository.set_distribution(sanitized_distribution)
diff --git a/conflowgen/domain_models/distribution_models/truck_arrival_distribution.py b/conflowgen/domain_models/distribution_models/truck_arrival_distribution.py
index 955ba18a..048540fb 100644
--- a/conflowgen/domain_models/distribution_models/truck_arrival_distribution.py
+++ b/conflowgen/domain_models/distribution_models/truck_arrival_distribution.py
@@ -1,11 +1,11 @@
-from peewee import FloatField, IntegerField
+from peewee import FloatField
 
 from conflowgen.domain_models.base_model import BaseModel
 
 
 class TruckArrivalDistribution(BaseModel):
     """The truck arrival distribution (both inbound and outbound journeys)"""
-    hour_in_the_week = IntegerField(null=False, primary_key=True, unique=True)
+    hour_in_the_week = FloatField(null=False, primary_key=True, unique=True)
     fraction = FloatField(null=False)
 
     def __repr__(self):
diff --git a/conflowgen/domain_models/distribution_validators.py b/conflowgen/domain_models/distribution_validators.py
index 4dc50c66..dfe9a527 100644
--- a/conflowgen/domain_models/distribution_validators.py
+++ b/conflowgen/domain_models/distribution_validators.py
@@ -135,7 +135,7 @@ def _check_all_keys_are_of_intended_primitive_type(
     return sanitized_distribution
 
 
-SUPPORTED_PRIMITIVE_KEY_TYPES = (int, )
+SUPPORTED_PRIMITIVE_KEY_TYPES = (int, float)
 
 
 def _check_all_required_keys_are_set_in_distribution(
@@ -194,7 +194,7 @@ def _check_value_range_of_frequencies_in_distribution(
 
 def validate_distribution_with_no_dependent_variables(
         distribution: Dict[enum.Enum | int, Any],
-        key_type: Type[enum.Enum] | Type[int],
+        key_type: Type[enum.Enum] | Type[float],
         values_are_frequencies: bool
 ) -> Dict[enum.Enum | int, float]:
     sanitized_distribution = _check_all_required_keys_are_set_in_distribution(distribution, key_type)
diff --git a/conflowgen/previews/truck_gate_throughput_preview_report.py b/conflowgen/previews/truck_gate_throughput_preview_report.py
index 0fe1ed2f..16b1aa88 100644
--- a/conflowgen/previews/truck_gate_throughput_preview_report.py
+++ b/conflowgen/previews/truck_gate_throughput_preview_report.py
@@ -3,6 +3,8 @@
 import pandas as pd
 
 import matplotlib
+import matplotlib.ticker
+import matplotlib.axes
 from matplotlib import pyplot as plt
 
 from conflowgen.domain_models.data_types.mode_of_transport import ModeOfTransport
@@ -63,7 +65,7 @@ def get_report_as_text(self, inbound: bool = True, outbound: bool = True, **kwar
         count = 0
         # Find min, max, and average for each day of the week
         for time in sorted(truck_distribution):
-            day = time // 24
+            day = int(time // 24)
             if day == 0:
                 count += 1  # Count the number of data points in a single day
             data[day]['minimum'] = min(data[day]['minimum'], truck_distribution[time])
diff --git a/conflowgen/tests/api/test_truck_arrival_distribution_manager.py b/conflowgen/tests/api/test_truck_arrival_distribution_manager.py
index 2ed2ae5b..8fd0b868 100644
--- a/conflowgen/tests/api/test_truck_arrival_distribution_manager.py
+++ b/conflowgen/tests/api/test_truck_arrival_distribution_manager.py
@@ -5,7 +5,6 @@
 
 
 class TestTruckArrivalDistributionManager(unittest.TestCase):
-
     ARRIVAL_DISTRIBUTION = {
         3: .2,
         4: .8
@@ -24,10 +23,356 @@ def test_get_truck_arrival_distributions(self):
         self.assertEqual(distribution, self.ARRIVAL_DISTRIBUTION)
 
     def test_set_truck_arrival_distributions(self):
-
         with unittest.mock.patch.object(
                 self.truck_arrival_distribution_manager.truck_arrival_distribution_repository,
                 'set_distribution',
                 return_value=None) as mock_method:
             self.truck_arrival_distribution_manager.set_truck_arrival_distribution(self.ARRIVAL_DISTRIBUTION)
         mock_method.assert_called_once_with(self.ARRIVAL_DISTRIBUTION)
+
+    def test_set_truck_arrival_distribution_with_half_hour_windows(self):
+        tad = {
+            0.0: 0.0,
+            0.5: 0.0,
+            1.0: 0.0,
+            1.5: 0.0,
+            2.0: 0.0,
+            2.5: 0.0,
+            3.0: 0.0,
+            3.5: 0.0,
+            4.0: 0.0,
+            4.5: 0.0,
+            5.0: 0.0,
+            5.5: 0.0,
+            6.0: 0.0,
+            6.5: 0.0,
+            7.0: 0.0,
+            7.5: 0.0,
+            8.0: 0.005847356259863457,
+            8.5: 0.005847356259863457,
+            9.0: 0.006884424813828916,
+            9.5: 0.006884424813828916,
+            10.0: 0.008240784915529742,
+            10.5: 0.008240784915529742,
+            11.0: 0.010754542541876863,
+            11.5: 0.010754542541876863,
+            12.0: 0.009065614385411223,
+            12.5: 0.009065614385411223,
+            13.0: 0.00956682661232754,
+            13.5: 0.00956682661232754,
+            14.0: 0.009676877930280697,
+            14.5: 0.009676877930280697,
+            15.0: 0.007198538886305298,
+            15.5: 0.007198538886305298,
+            16.0: 0.008977906910623057,
+            16.5: 0.008977906910623057,
+            17.0: 0.0069943804588238085,
+            17.5: 0.0069943804588238085,
+            18.0: 0.005381820143341635,
+            18.5: 0.005381820143341635,
+            19.0: 0.004515467462119917,
+            19.5: 0.004515467462119917,
+            20.0: 0.003327233560870352,
+            20.5: 0.0,
+            21.0: 0.0,
+            21.5: 0.0,
+            22.0: 0.0,
+            22.5: 0.0,
+            23.0: 0.0,
+            23.5: 0.0,
+            24.0: 0.0,
+            24.5: 0.0,
+            25.0: 0.0,
+            25.5: 0.0,
+            26.0: 0.0,
+            26.5: 0.0,
+            27.0: 0.0,
+            27.5: 0.0,
+            28.0: 0.0,
+            28.5: 0.0,
+            29.0: 0.0,
+            29.5: 0.0,
+            30.0: 0.0,
+            30.5: 0.0,
+            31.0: 0.0,
+            31.5: 0.0,
+            32.0: 0.006041312488159616,
+            32.5: 0.006041312488159616,
+            33.0: 0.007328821183642256,
+            33.5: 0.007328821183642256,
+            34.0: 0.008852314535559925,
+            34.5: 0.008852314535559925,
+            35.0: 0.00838027636330664,
+            35.5: 0.00838027636330664,
+            36.0: 0.009907439316224021,
+            36.5: 0.009907439316224021,
+            37.0: 0.009169313456252479,
+            37.5: 0.009169313456252479,
+            38.0: 0.009614722815201775,
+            38.5: 0.009614722815201775,
+            39.0: 0.00787503623358249,
+            39.5: 0.00787503623358249,
+            40.0: 0.007824251062007128,
+            40.5: 0.007824251062007128,
+            41.0: 0.00705486596186395,
+            41.5: 0.00705486596186395,
+            42.0: 0.004398697886964745,
+            42.5: 0.004398697886964745,
+            43.0: 0.003750005820315642,
+            43.5: 0.003750005820315642,
+            44.0: 0.0034171233780298876,
+            44.5: 0.0,
+            45.0: 0.0,
+            45.5: 0.0,
+            46.0: 0.0,
+            46.5: 0.0,
+            47.0: 0.0,
+            47.5: 0.0,
+            48.0: 0.0,
+            48.5: 0.0,
+            49.0: 0.0,
+            49.5: 0.0,
+            50.0: 0.0,
+            50.5: 0.0,
+            51.0: 0.0,
+            51.5: 0.0,
+            52.0: 0.0,
+            52.5: 0.0,
+            53.0: 0.0,
+            53.5: 0.0,
+            54.0: 0.0,
+            54.5: 0.0,
+            55.0: 0.0,
+            55.5: 0.0,
+            56.0: 0.006745061258333995,
+            56.5: 0.006745061258333995,
+            57.0: 0.007679410701646271,
+            57.5: 0.007679410701646271,
+            58.0: 0.008482538433133749,
+            58.5: 0.008482538433133749,
+            59.0: 0.009062186684434759,
+            59.5: 0.009062186684434759,
+            60.0: 0.00909081220731496,
+            60.5: 0.00909081220731496,
+            61.0: 0.011583665479640732,
+            61.5: 0.011583665479640732,
+            62.0: 0.009624665427407022,
+            62.5: 0.009624665427407022,
+            63.0: 0.008408359880097303,
+            63.5: 0.008408359880097303,
+            64.0: 0.007806016845642667,
+            64.5: 0.007806016845642667,
+            65.0: 0.006535274260445081,
+            65.5: 0.006535274260445081,
+            66.0: 0.0057751620805421774,
+            66.5: 0.0057751620805421774,
+            67.0: 0.004285593715597633,
+            67.5: 0.004285593715597633,
+            68.0: 0.002796016187253771,
+            68.5: 0.0,
+            69.0: 0.0,
+            69.5: 0.0,
+            70.0: 0.0,
+            70.5: 0.0,
+            71.0: 0.0,
+            71.5: 0.0,
+            72.0: 0.0,
+            72.5: 0.0,
+            73.0: 0.0,
+            73.5: 0.0,
+            74.0: 0.0,
+            74.5: 0.0,
+            75.0: 0.0,
+            75.5: 0.0,
+            76.0: 0.0,
+            76.5: 0.0,
+            77.0: 0.0,
+            77.5: 0.0,
+            78.0: 0.0,
+            78.5: 0.0,
+            79.0: 0.0,
+            79.5: 0.0,
+            80.0: 0.00668500119579781,
+            80.5: 0.00668500119579781,
+            81.0: 0.008059864990389558,
+            81.5: 0.008059864990389558,
+            82.0: 0.009857405383896607,
+            82.5: 0.009857405383896607,
+            83.0: 0.00989603470422583,
+            83.5: 0.00989603470422583,
+            84.0: 0.012743096638284358,
+            84.5: 0.012743096638284358,
+            85.0: 0.010655364933628404,
+            85.5: 0.010655364933628404,
+            86.0: 0.010917545311219544,
+            86.5: 0.010917545311219544,
+            87.0: 0.010015960025975905,
+            87.5: 0.010015960025975905,
+            88.0: 0.00955277551986375,
+            88.5: 0.00955277551986375,
+            89.0: 0.007851974044966025,
+            89.5: 0.007851974044966025,
+            90.0: 0.005257200592342844,
+            90.5: 0.005257200592342844,
+            91.0: 0.004092778923079977,
+            91.5: 0.004092778923079977,
+            92.0: 0.003939305601388119,
+            92.5: 0.0,
+            93.0: 0.0,
+            93.5: 0.0,
+            94.0: 0.0,
+            94.5: 0.0,
+            95.0: 0.0,
+            95.5: 0.0,
+            96.0: 0.0,
+            96.5: 0.0,
+            97.0: 0.0,
+            97.5: 0.0,
+            98.0: 0.0,
+            98.5: 0.0,
+            99.0: 0.0,
+            99.5: 0.0,
+            100.0: 0.0,
+            100.5: 0.0,
+            101.0: 0.0,
+            101.5: 0.0,
+            102.0: 0.0,
+            102.5: 0.0,
+            103.0: 0.0,
+            103.5: 0.0,
+            104.0: 0.006851392669705531,
+            104.5: 0.006851392669705531,
+            105.0: 0.010274798552864527,
+            105.5: 0.010274798552864527,
+            106.0: 0.011685874595427376,
+            106.5: 0.011685874595427376,
+            107.0: 0.01058627130541297,
+            107.5: 0.01058627130541297,
+            108.0: 0.010527093567814597,
+            108.5: 0.010527093567814597,
+            109.0: 0.012387483771322302,
+            109.5: 0.012387483771322302,
+            110.0: 0.010640715187610906,
+            110.5: 0.010640715187610906,
+            111.0: 0.00882546777802846,
+            111.5: 0.00882546777802846,
+            112.0: 0.008153561979994874,
+            112.5: 0.008153561979994874,
+            113.0: 0.006259105707922169,
+            113.5: 0.006259105707922169,
+            114.0: 0.005860855283263588,
+            114.5: 0.005860855283263588,
+            115.0: 0.0028579368743328936,
+            115.5: 0.0028579368743328936,
+            116.0: 0.002756732334354128,
+            116.5: 0.0,
+            117.0: 0.0,
+            117.5: 0.0,
+            118.0: 0.0,
+            118.5: 0.0,
+            119.0: 0.0,
+            119.5: 0.0,
+            120.0: 0.0,
+            120.5: 0.0,
+            121.0: 0.0,
+            121.5: 0.0,
+            122.0: 0.0,
+            122.5: 0.0,
+            123.0: 0.0,
+            123.5: 0.0,
+            124.0: 0.0,
+            124.5: 0.0,
+            125.0: 0.0,
+            125.5: 0.0,
+            126.0: 0.0,
+            126.5: 0.0,
+            127.0: 0.0,
+            127.5: 0.0,
+            128.0: 0.0009936554715091123,
+            128.5: 0.0009936554715091123,
+            129.0: 0.0009210861041335698,
+            129.5: 0.0009210861041335698,
+            130.0: 0.0004654632814999111,
+            130.5: 0.0004654632814999111,
+            131.0: 0.0003279024939137455,
+            131.5: 0.0003279024939137455,
+            132.0: 0.00029778216297555397,
+            132.5: 0.00029778216297555397,
+            133.0: 0.0,
+            133.5: 0.0,
+            134.0: 0.0,
+            134.5: 0.0,
+            135.0: 0.0,
+            135.5: 0.0,
+            136.0: 0.0,
+            136.5: 0.0,
+            137.0: 0.0,
+            137.5: 0.0,
+            138.0: 0.0,
+            138.5: 0.0,
+            139.0: 0.0,
+            139.5: 0.0,
+            140.0: 0.0,
+            140.5: 0.0,
+            141.0: 0.0,
+            141.5: 0.0,
+            142.0: 0.0,
+            142.5: 0.0,
+            143.0: 0.0,
+            143.5: 0.0,
+            144.0: 0.0,
+            144.5: 0.0,
+            145.0: 0.0,
+            145.5: 0.0,
+            146.0: 0.0,
+            146.5: 0.0,
+            147.0: 0.0,
+            147.5: 0.0,
+            148.0: 0.0,
+            148.5: 0.0,
+            149.0: 0.0,
+            149.5: 0.0,
+            150.0: 0.0,
+            150.5: 0.0,
+            151.0: 0.0,
+            151.5: 0.0,
+            152.0: 0.0,
+            152.5: 0.0,
+            153.0: 0.0,
+            153.5: 0.0,
+            154.0: 0.0,
+            154.5: 0.0,
+            155.0: 0.0,
+            155.5: 0.0,
+            156.0: 0.0,
+            156.5: 0.0,
+            157.0: 0.0,
+            157.5: 0.0,
+            158.0: 0.0,
+            158.5: 0.0,
+            159.0: 0.0,
+            159.5: 0.0,
+            160.0: 0.0,
+            160.5: 0.0,
+            161.0: 0.0,
+            161.5: 0.0,
+            162.0: 0.0,
+            162.5: 0.0,
+            163.0: 0.0,
+            163.5: 0.0,
+            164.0: 0.0,
+            164.5: 0.0,
+            165.0: 0.0,
+            165.5: 0.0,
+            166.0: 0.0,
+            166.5: 0.0,
+            167.0: 0.0,
+            167.5: 0.0
+        }
+
+        with unittest.mock.patch.object(
+                self.truck_arrival_distribution_manager.truck_arrival_distribution_repository,
+                'set_distribution',
+                return_value=None) as mock_method:
+            self.truck_arrival_distribution_manager.set_truck_arrival_distribution(tad)
+        mock_method.assert_called_once_with(tad)
diff --git a/conflowgen/tests/domain_models/distribution_repositories/test_truck_arrival_distribution_repository.py b/conflowgen/tests/domain_models/distribution_repositories/test_truck_arrival_distribution_repository.py
index 363c5932..f1aeb495 100644
--- a/conflowgen/tests/domain_models/distribution_repositories/test_truck_arrival_distribution_repository.py
+++ b/conflowgen/tests/domain_models/distribution_repositories/test_truck_arrival_distribution_repository.py
@@ -178,6 +178,345 @@ class TestTruckArrivalDistributionRepository(unittest.TestCase):
         166: 0.0,
         167: 0.0}
 
+    half_hourly_data = {
+        0.0: 0.0,
+        0.5: 0.0,
+        1.0: 0.0,
+        1.5: 0.0,
+        2.0: 0.0,
+        2.5: 0.0,
+        3.0: 0.0,
+        3.5: 0.0,
+        4.0: 0.0,
+        4.5: 0.0,
+        5.0: 0.0,
+        5.5: 0.0,
+        6.0: 0.0,
+        6.5: 0.0,
+        7.0: 0.0,
+        7.5: 0.0,
+        8.0: 0.005847356259863457,
+        8.5: 0.005847356259863457,
+        9.0: 0.006884424813828916,
+        9.5: 0.006884424813828916,
+        10.0: 0.008240784915529742,
+        10.5: 0.008240784915529742,
+        11.0: 0.010754542541876863,
+        11.5: 0.010754542541876863,
+        12.0: 0.009065614385411223,
+        12.5: 0.009065614385411223,
+        13.0: 0.00956682661232754,
+        13.5: 0.00956682661232754,
+        14.0: 0.009676877930280697,
+        14.5: 0.009676877930280697,
+        15.0: 0.007198538886305298,
+        15.5: 0.007198538886305298,
+        16.0: 0.008977906910623057,
+        16.5: 0.008977906910623057,
+        17.0: 0.0069943804588238085,
+        17.5: 0.0069943804588238085,
+        18.0: 0.005381820143341635,
+        18.5: 0.005381820143341635,
+        19.0: 0.004515467462119917,
+        19.5: 0.004515467462119917,
+        20.0: 0.003327233560870352,
+        20.5: 0.0,
+        21.0: 0.0,
+        21.5: 0.0,
+        22.0: 0.0,
+        22.5: 0.0,
+        23.0: 0.0,
+        23.5: 0.0,
+        24.0: 0.0,
+        24.5: 0.0,
+        25.0: 0.0,
+        25.5: 0.0,
+        26.0: 0.0,
+        26.5: 0.0,
+        27.0: 0.0,
+        27.5: 0.0,
+        28.0: 0.0,
+        28.5: 0.0,
+        29.0: 0.0,
+        29.5: 0.0,
+        30.0: 0.0,
+        30.5: 0.0,
+        31.0: 0.0,
+        31.5: 0.0,
+        32.0: 0.006041312488159616,
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+        160.0: 0.0,
+        160.5: 0.0,
+        161.0: 0.0,
+        161.5: 0.0,
+        162.0: 0.0,
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+        165.0: 0.0,
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+        166.0: 0.0,
+        166.5: 0.0,
+        167.0: 0.0,
+        167.5: 0.0
+    }
+
     def setUp(self) -> None:
         """Create container database in memory"""
         sqlite_db = setup_sqlite_in_memory_db()
@@ -205,6 +544,15 @@ def test_happy_path(self):
             self.repository.get_distribution()
         )
 
+    def test_happy_path_with_half_hourly_data(self):
+        self.repository.set_distribution(
+            self.half_hourly_data
+        )
+        self.assertDictEqual(
+            self.half_hourly_data,
+            self.repository.get_distribution()
+        )
+
     def test_set_twice(self):
         """e.g., no exception is thrown while refreshing the data in the database.
         """