match bike speed to survey data

input/v6.4/berlin-v6.4-vehicleTypes.xml

@@ -22,8 +22,11 @@
 		</attributes>
 		<length meter="2.0"/>
 		<width meter="1.0"/>
-		<!-- 15 kmh -->
-		<maximumVelocity meterPerSecond="4.16"/>
+
+		<!-- The speed was set such that the obtained avg. speed per trip matches the one reported in the SrV survey -->
+		<!-- Note that this speed includes all the effects of delays that might occur, such as waiting traffic lights -->
+		<!-- 11.5 kmh -->
+		<maximumVelocity meterPerSecond="3.28"/>
 		<passengerCarEquivalents pce="0.2"/>
 		<networkMode networkMode="bike"/>
 	</vehicleType>

src/main/python/extract_ref_data.py

@@ -43,4 +43,16 @@ def trip_filter(df):
 
     print(result.share)
 
-    print(result.groups)
+    print(result.groups)
+
+    t = result.trips
+
+    # Weighted mean
+    wm = lambda x: np.average(x, weights=t.loc[x.index, "t_weight"])
+
+    t["speed"] = (t.gis_length * 3600) / (t.duration * 60)
+
+    aggr = t.groupby("main_mode").agg(kmh=("speed", wm))
+
+    print("Avg speeds. per mode")
+    print(aggr)