[PYTHON] I want to plot the location information of GTFS Realtime on Jupyter! (With balloon)
Introduction
The current location of the bus can be seen from Google Map, but let's map it by yourself. Let's display it on python using a web map display plugin called folium. The map icon is clickable and can also display detailed information.
Implementation
realtimebus.py3
from google.transit import gtfs_realtime_pb2
import urllib.request, urllib.error
import folium
import pandas as pd
#GTFS-Public URL of RT(Uno Bus)
url ='http://www3.unobus.co.jp/GTFS/GTFS_RT-VP.bin'
#Declaration of column name
list_df = pd.DataFrame(columns=['id' , 'vehicle_id', 'trip_id','vehicle_timestamp','longitude','latitude','occupancy_status'])
feed = gtfs_realtime_pb2.FeedMessage()
#Data download and format conversion
with urllib.request.urlopen(url) as res: #Data download
feed.ParseFromString(res.read()) #Deserialize protocol buffers
for entity in feed.entity:
tmp_se = pd.Series( [
entity.id, #Vehicle ID
entity.vehicle.vehicle.id, #Vehicle number
entity.vehicle.trip.trip_id, #Route number?
entity.vehicle.timestamp, #Vehicle time
entity.vehicle.position.longitude, #Vehicle latitude
entity.vehicle.position.latitude, #Vehicle longitude
entity.vehicle.occupancy_status #Congestion degree
], index=list_df.columns )
list_df = list_df.append( tmp_se, ignore_index=True )
#Calculate the center point of the map
average_pos = list_df.mean()
#Create a map near the center coordinates
m = folium.Map(location=[average_pos['latitude'], average_pos['longitude']], zoom_start=11)
#Plot each bus(The color is blue)
list_df.apply(lambda row:
folium.Marker(
location=[row['latitude'], row['longitude']],
popup='<table border="1"><tr><th>occupancy_status</th></tr><tr><td>'
+str(row['occupancy_status'])
+'</td></tr></table>',
icon=folium.Icon(color='blue',icon='bus', prefix='fa')
).add_to(m), axis=1)
m
result
The downloaded real-time location information is plotted on the map
The timing of execution is past 22:30, but the bus is still running. .. ..