diff --git a/bus_extraction.py b/bus_extraction.py
index d604a127f..f37f060ed 100644
--- a/bus_extraction.py
+++ b/bus_extraction.py
@@ -5,6 +5,9 @@
 from datetime import datetime, timedelta
 import re
 import psycopg2
+import random
+from traffic_api import get_traffic_level
+
 
 # Create an unverified SSL context to bypass SSL certificate errors
 try:
@@ -74,6 +77,45 @@
 
 vehicles = json.loads(data.decode("utf-8"))
 
+# sample stops for Gold route
+stops_dict = {
+    "Marta": (33.78124531457225, -84.38609515855521),
+    "Technology square": (33.77693168042234, -84.38985431852313),
+    "5th Street WB": (33.77696524446127, -84.39177713175643),
+    "Russ Chandler Stadium": (33.77700226733594, -84.39405232716865),
+    "Klaus Building WB": (33.77750297477602, -84.3955435318594),
+    "Nanotechnology": (33.778361110340406, -84.39806140119877),
+    "Kendeda Building": (33.7784220826717, -84.39957983900081),
+    "Couch Park": (33.77804350814352, -84.4020813989256),
+    "CRC & Stamps Health": (33.7750633043881, -84.40272409315902),
+    "Ferst Drive & Campus Center": (33.7733218207678, -84.39921557992542),
+    "Transit Hub": (33.77314438101725, -84.39700294107278),
+    "Campus Center": (33.77347874294925, -84.3991488920771),
+    "Exhibition Hall": (33.77508233091718, -84.40238068190583),
+    "Ferst Dr & Hemphill Ave": (33.778433040576374, -84.40085640923526),
+    "Cherry Emerson": (33.77822274400314, -84.3973364838895),
+    "Klaus Building EB": (33.77715065747476, -84.39554176833916),
+    "Ferst Dr & Fowler St": (33.776870955985096, -84.39380500062757),
+    "5th Street Bridge EB": (33.7768316079988, -84.39190623554501),
+    "Technology Square EB": (33.77679019002961, -84.38972625670338),
+    "College of Business": (33.77675787854372, -84.38777167574695),
+    "Academy of Medicine": (33.77848885105469, -84.38719153190587)
+}
+
+# random origin stop choice
+origin_stop = random.choice(list(stops_dict.keys()))
+# its coordinates
+origin_coords = stops_dict[origin_stop]
+#print(origin_stop)
+
+# random destination stop choice
+destination_stop = random.choice(list(stops_dict.keys()))
+# its coordinates 
+destination_coords = stops_dict[destination_stop]
+#print(destination_stop)
+
+#print(get_traffic_level(origin_coords, destination_coords))
+
 bus_data = []
 "RouteID"
 for vehicle in vehicles:
@@ -108,7 +150,7 @@
             "Month": month,
             "Time_Of_Day": time,
             "Bus_Line": vehicle["RouteID"],
-            "Traffic_Patterns": "N/A",
+            "Traffic_Patterns": get_traffic_level(origin_coords, destination_coords),
             "Bus_Speed": vehicle["GroundSpeed"]
             })
 
diff --git a/traffic_api.py b/traffic_api.py
new file mode 100644
index 000000000..e06d90bd8
--- /dev/null
+++ b/traffic_api.py
@@ -0,0 +1,50 @@
+import requests
+import pytz
+from datetime import datetime
+import random
+
+TRAFFIC_API_KEY = "key"  # Replace with Traffic API key in google cloud platform starting with AIza
+
+
+# upon calling should return a level of traffic - low, medium, high OR a message indicating the origin and destination are the same
+def get_traffic_level(origin, destination):
+    url = "https://maps.googleapis.com/maps/api/distancematrix/json"
+
+    params = {
+        "origins": f"{origin[0]},{origin[1]}",  # Convert tuple to lat,lng format
+        "destinations": f"{destination[0]},{destination[1]}",  # Convert tuple to lat,lng format
+        "departure_time": 'now',  
+        "traffic_model": "best_guess",
+        "key": TRAFFIC_API_KEY
+    }
+
+    try:
+        response = requests.get(url, params=params)
+        response.raise_for_status()  # Raise an error for bad status codes (e.g., 400, 500)
+        data = response.json()
+
+        # Check if the API returns valid data
+        if data.get("status") != "OK":
+            print("Error: API response status is not OK")
+            return None
+
+        element = data["rows"][0]["elements"][0]
+        normal_duration = element["duration"]["value"]
+        traffic_duration = element.get("duration_in_traffic", {}).get("value", normal_duration)
+        
+        if origin == destination:
+            return "Origin and destination are the same."
+
+        if traffic_duration <= normal_duration:
+            #print('Low')
+            return "Low"
+        elif traffic_duration <= 1.3 * normal_duration:
+            #print('Medium')
+            return "Medium"
+        else:
+            #print('High')
+            return "High"
+    
+    except requests.exceptions.RequestException as e:
+        print(f"Error making API request: {e}")
+        return None