diff --git a/pyproject.toml b/pyproject.toml
index d86f752..1f11174 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,6 +5,9 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
+    "ipykernel>=7.2.0",
+    "polars>=1.41.2",
     "python-dotenv>=1.2.2",
     "selenium>=4.44.0",
+    "tqdm>=4.68.2",
 ]
diff --git a/python/download-PeMS-data.py b/python/download-PeMS-data.py
index f3aee21..558c283 100644
--- a/python/download-PeMS-data.py
+++ b/python/download-PeMS-data.py
@@ -36,7 +36,7 @@
 
 
 # data files are saved here, in subfolder '[yyyy]\original zipped'
-DESTINATION_DIR = pathlib.Path(".\\data\\")
+DESTINATION_DIR = pathlib.Path(".\\data\\pems\\txt\\")
 # data files are downloaded here but then moved into the DESTINATION_DIR
 DOWNLOADS_DIR = pathlib.Path(f"C:\\Users\\{os.getenv('USERNAME')}\\Downloads")
 
@@ -143,7 +143,15 @@
                     )
 
                 # first check if file is already there
-                unzip_dir = DESTINATION_DIR / year
+                unzip_dir = (
+                    DESTINATION_DIR
+                    / pems_mode
+                    / (
+                        "{:d}/{:02d}".format(int(year), month)
+                        if pems_mode == "station_5min"
+                        else year
+                    )
+                )
                 zip_dir = unzip_dir / "original_zipped"
                 zip_file = zip_dir / element_name
                 if os.path.exists(zip_file):
diff --git a/python/extract_parquet.py b/python/extract_parquet.py
new file mode 100644
index 0000000..b38c1ac
--- /dev/null
+++ b/python/extract_parquet.py
@@ -0,0 +1,184 @@
+"""Functions for extracting PeMS files as parquet."""
+
+from pathlib import Path
+
+import polars as pl
+from tqdm import tqdm
+
+STATION_5MIN_READ_SCHEMA = pl.Schema(
+    {
+        "timestamp": pl.String(),
+        "station": pl.Int64(),
+        "district": pl.Int64(),
+        "freeway": pl.Int64(),
+        "direction_of_travel": pl.Enum(["N", "S", "E", "W"]),
+        "lane_type": pl.Enum(
+            [
+                "CD",
+                "CH",
+                "FF",
+                "FR",
+                "HV",
+                "ML",
+                "OR",
+            ]
+        ),
+        "station_length": pl.Float64(),
+        "samples": pl.Float64(),
+        "percent_observed": pl.Float64(),
+        "total_flow": pl.Float64(),
+        "avg_occupancy": pl.Float64(),
+        "avg_speed": pl.Float64(),
+    }
+    | {
+        f"lane_{i}_{measure}": pl.Int64() if measure in ["observed"] else pl.Float64()
+        for i in range(1, 8 + 1)
+        for measure in ["samples", "flow", "avg_occ", "avg_speed", "observed"]
+    }
+)
+STATION_HOUR_READ_SCHEMA = pl.Schema(
+    {
+        "timestamp": pl.String(),
+        "station": pl.Int64(),
+        "district": pl.Int64(),
+        "freeway": pl.Int64(),
+        "direction_of_travel": pl.Enum(["N", "S", "E", "W"]),
+        "lane_type": pl.Enum(
+            [
+                "CD",
+                "CH",
+                "FF",
+                "FR",
+                "HV",
+                "ML",
+                "OR",
+            ]
+        ),
+        "station_length": pl.Float64(),
+        "samples": pl.Float64(),
+        "percent_observed": pl.Float64(),
+        "total_flow": pl.Float64(),
+        "avg_occupancy": pl.Float64(),
+        "avg_speed": pl.Float64(),
+        "delay_t_35": pl.Float64(),
+        "delay_t_40": pl.Float64(),
+        "delay_t_45": pl.Float64(),
+        "delay_t_50": pl.Float64(),
+        "delay_t_55": pl.Float64(),
+        "delay_t_60": pl.Float64(),
+    }
+    | {
+        f"lane_{i}_{measure}": pl.Float64()
+        for i in range(1, 8 + 1)
+        for measure in ["flow", "avg_occ", "avg_speed"]
+    }
+)
+STATION_DAY_READ_SCHEMA = pl.Schema(
+    {
+        "timestamp": pl.String(),
+        "station": pl.Int64(),
+        "district": pl.Int64(),
+        "freeway": pl.Int64(),
+        "direction_of_travel": pl.Enum(["N", "S", "E", "W"]),
+        "lane_type": pl.Enum(
+            [
+                "CD",
+                "CH",
+                "FF",
+                "FR",
+                "HV",
+                "ML",
+                "OR",
+            ]
+        ),
+        "station_length": pl.Float64(),
+        "samples": pl.Float64(),
+        "percent_observed": pl.Float64(),
+        "total_flow": pl.Float64(),
+        "avg_occupancy": pl.Float64(),
+        "avg_speed": pl.Float64(),
+        "delay_t_35": pl.Float64(),
+        "delay_t_40": pl.Float64(),
+        "delay_t_45": pl.Float64(),
+        "delay_t_50": pl.Float64(),
+        "delay_t_55": pl.Float64(),
+        "delay_t_60": pl.Float64(),
+    }
+    | {
+        f"lane_{i}_{measure}": pl.Float64()
+        for i in range(1, 8 + 1)
+        for measure in ["flow", "avg_occ", "avg_speed"]
+    }
+)
+
+
+def extract_station_5min(txt_path: Path) -> pl.DataFrame:
+    station_5minute = pl.read_csv(
+        txt_path,
+        schema=STATION_5MIN_READ_SCHEMA,
+        has_header=False,
+    ).with_columns(timestamp=pl.col("timestamp").str.to_datetime("%m/%d/%Y %T"))
+    return station_5minute
+
+
+def extract_station_hour(txt_path: Path) -> pl.DataFrame:
+    station_hour = pl.read_csv(
+        txt_path,
+        schema=STATION_HOUR_READ_SCHEMA,
+        has_header=False,
+    ).with_columns(timestamp=pl.col("timestamp").str.to_datetime("%m/%d/%Y %T"))
+    return station_hour
+
+
+def extract_station_day(txt_path: Path) -> pl.DataFrame:
+    station_day = pl.read_csv(
+        txt_path,
+        schema=STATION_DAY_READ_SCHEMA,
+        has_header=False,
+    ).with_columns(timestamp=pl.col("timestamp").str.to_datetime("%m/%d/%Y %T"))
+    return station_day
+
+
+if __name__ == "__main__":
+    # TODO: Base hardcoded loop on some kind of config/environment variable
+    for year in [2025, 2026]:
+        for month in range(1, 13):
+            txt_paths = [
+                path
+                for path in Path(
+                    f"./data/pems/txt/station_5min/{year}/{month:02}/"
+                ).iterdir()
+                if path.suffix == ".txt"
+            ]
+            for txt_path in tqdm(txt_paths):
+                df = extract_station_5min(txt_path)
+                parquet_name = txt_path.stem + ".parquet"
+                dir_ = Path(
+                    f"./data/pems/parquet/station_5min/{year}/{df['timestamp'].dt.month().first():02}/"
+                )
+                dir_.mkdir(parents=True, exist_ok=True)
+                df.write_parquet(dir_ / f"{parquet_name}")
+
+        txt_paths = [
+            path
+            for path in Path(f"./data/pems/txt/station_hour/{year}").iterdir()
+            if path.suffix == ".txt"
+        ]
+        for txt_path in tqdm(txt_paths):
+            df = extract_station_hour(txt_path)
+            parquet_name = txt_path.stem + ".parquet"
+            dir_ = Path(f"./data/pems/parquet/station_hour/{year}/")
+            dir_.mkdir(parents=True, exist_ok=True)
+            df.write_parquet(dir_ / f"{parquet_name}")
+
+        txt_paths = [
+            path
+            for path in Path(f"./data/pems/txt/station_day/{year}").iterdir()
+            if path.suffix == ".txt"
+        ]
+        for txt_path in tqdm(txt_paths):
+            df = extract_station_day(txt_path)
+            parquet_name = txt_path.stem + ".parquet"
+            dir_ = Path(f"./data/pems/parquet/station_day/{year}/")
+            dir_.mkdir(parents=True, exist_ok=True)
+            df.write_parquet(dir_ / f"{parquet_name}")
diff --git a/uv.lock b/uv.lock
index 92da944..d5d5f6b 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,6 +2,24 @@ version = 1
 revision = 2
 requires-python = ">=3.13"
 
+[[package]]
+name = "appnope"
+version = "0.1.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170, upload-time = "2024-02-06T09:43:11.258Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" },
+]
+
+[[package]]
+name = "asttokens"
+version = "3.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/be/a5/8e3f9b6771b0b408517c82d97aed8f2036509bc247d46114925e32fe33f0/asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7", size = 62308, upload-time = "2025-11-15T16:43:48.578Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d2/39/e7eaf1799466a4aef85b6a4fe7bd175ad2b1c6345066aa33f1f58d4b18d0/asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a", size = 27047, upload-time = "2025-11-15T16:43:16.109Z" },
+]
+
 [[package]]
 name = "attrs"
 version = "26.1.0"
@@ -29,17 +47,95 @@ dependencies = [
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" }
 wheels = [
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