diff --git a/gtfs_client.py b/gtfs_client.py
index b2f51a1..3ef7ebc 100644
--- a/gtfs_client.py
+++ b/gtfs_client.py
@@ -1,18 +1,16 @@
 from arrival_times import ArrivalTime
 import datetime
+import gc
 import gtfs_kit as gk
 import json
 import os
 import pandas as pd
 import queue
-import re
 import refresh_feed
 import requests
-import tempfile
 import time
 import threading
 import traceback
-import shutil
 import zipfile
 
 class GTFSClient():
@@ -37,6 +35,7 @@ class GTFSClient():
 
         # Load the feed
         self.feed = self._read_feed(feed_name, dist_units='km', stop_codes = stop_codes)
+        gc.collect()
         self.stop_ids = self.__wanted_stop_ids()
         self.deltas = {}
         self.canceled_trips = set()
@@ -71,6 +70,8 @@ class GTFSClient():
         if not path.exists():
             raise ValueError(f"Path {path} does not exist")
 
+        gc.collect()
+
         feed_dict = {table: None for table in gk.cs.GTFS_REF["table"]}
         with zipfile.ZipFile(path) as z:
             for filename in FILES_TO_LOAD:
@@ -81,6 +82,8 @@ class GTFSClient():
                     if not df.empty:
                         feed_dict[table] = gk.cn.clean_column_names(df)
 
+                    gc.collect()
+
             # Finally, load stop_times.txt
             # Obtain the list of IDs of the desired stops. This is similar to what __wanted_stop_ids() does, 
             # but without a dependency on a fully formed feed object
@@ -89,11 +92,16 @@ class GTFSClient():
                 iter_csv = pd.read_csv(f, iterator=True, chunksize=1000, dtype=gk.cs.DTYPE, encoding="utf-8-sig")
                 df = pd.concat([chunk[chunk["stop_id"].isin(wanted_stop_ids)] for chunk in iter_csv])
 
+            gc.collect()
+
             if not df.empty:
                 # Fix arrival and departure times so that comparisons work the way they are expected to
                 df["arrival_time"] = df.apply(lambda row: row["arrival_time"] if len(row["arrival_time"]) == 8 else "0"+row["arrival_time"], axis=1)
+                gc.collect()
                 df["departure_time"] = df.apply(lambda row: row["departure_time"] if len(row["departure_time"]) == 8 else "0"+row["departure_time"], axis=1)
+                gc.collect()
                 feed_dict["stop_times"] = gk.cn.clean_column_names(df)
+                gc.collect()
 
         feed_dict["dist_units"] = dist_units
 
@@ -296,6 +304,8 @@ class GTFSClient():
 
         if self._update_queue:
             self._update_queue.put(arrivals)
+
+        gc.collect()
         return arrivals