diff --git a/analysis/calculations.py b/analysis/calculations.py
new file mode 100644
index 0000000..abfa20e
--- /dev/null
+++ b/analysis/calculations.py
@@ -0,0 +1,68 @@
+import logging
+from shapely.geometry import Point, LineString
+from shapely import wkb
+from db_connector import RemoteDB
+import pandas as pd
+
+speedLimits = ["T0", "T20", "T30", "T50","T60", "T80", "T100"]
+
+
+def is_point_near_multilinestring(point, multilinestring, threshold_distance):
+    point_geometry = Point(point)
+    return point_geometry.distance(multilinestring) < threshold_distance
+
+
+def get_data(db):
+    get_speeds_sql = """
+    SELECT wkb_geometry,
+       temporegime_technical
+    FROM signaled_speeds;
+    """
+
+    result = db.execute_query(get_speeds_sql)
+    sig_speed_df = pd.DataFrame(result)
+    sig_speed_df.rename(columns={'wkb_geometry': 'geometry'}, inplace=True)
+    sig_speed_df['geometry'] = sig_speed_df['geometry'].apply(lambda x: wkb.loads(x, hex=True))
+
+    get_accidents = """
+    SELECT geometry
+    FROM accidents;
+    """
+    result = db.execute_query(get_accidents)
+    accident_df = pd.DataFrame(result)
+    accident_df['geometry'] = accident_df['geometry'].apply(lambda x: wkb.loads(x, hex=True))
+
+    process_data(sig_speed_df, accident_df)
+
+
+def process_data(sig_speed_df, accident_df):
+    result_df = pd.DataFrame(columns= ['TempoLim', 'Accidents_total'])
+    for speed in speedLimits:
+        print("Checking for zone: " + speed)
+        filtered_df = sig_speed_df[sig_speed_df["temporegime_technical"].str.contains(speed, case=False, na=False)]
+        current_result = count_points_near_multilinestrings(accident_df, filtered_df, 0.000005)
+        result_df.loc[len(result_df)] = {'TempoLim': speed, 'Accidents_total': current_result}
+    print("FINAL RESULT")
+    print(result_df)
+
+
+def count_points_near_multilinestrings(points_df, multilinestrings_df, threshold_distance):
+    result_counts = []
+
+    for idx, multilinestring_row in multilinestrings_df.iterrows():
+        multilinestring = multilinestring_row['geometry']
+        count_near = sum(points_df['geometry'].apply(
+            lambda point: is_point_near_multilinestring(point, multilinestring, threshold_distance)))
+        result_counts.append({'temporegime_technical': multilinestring_row['temporegime_technical'], 'CountNear': count_near})
+    result_df = pd.DataFrame(result_counts)
+    return result_df['CountNear'].sum()
+
+
+if __name__ == "__main__":
+    remote_db = RemoteDB()
+    try:
+        get_data(remote_db)
+    except Exception as e:
+        print(f"Exception {e} in plots.py")
+    finally:
+        remote_db.close()