我想使用 Osmnx 獲取最短路徑路線中節(jié)點之間的旅行時間。有沒有辦法獲得節(jié)點之間的旅行時間。import networkx as nximport osmnx as oxox.config(use_cache=True, log_console=True)import pandas as pdpla__version__Piedmont, CA, USAG = ox.graph_from_place(place, network_type='drive')orig = list(G)[0]dest = list(G)[-1]route = nx.shortest_path(G, orig, dest)#fig, ax = ox.plot_graph_route(G, route, route_linewidth=6, node_size=0, bgcolor='k')for i, val in enumerate(route): print(i, val, G.nodes[val]['x'], G.nodes[val]['y'])我想存儲節(jié)點，在上面的循環(huán)中實現(xiàn)的緯度和經(jīng)度，但是有沒有辦法存儲兩個節(jié)點之間的旅行時間和/或兩個節(jié)點之間的距離。
1 回答
MYYA
TA貢獻1868條經(jīng)驗 獲得超4個贊
OSM 關(guān)于速度和旅行時間的數(shù)據(jù)往往參差不齊。使用 OSMnx 的速度模塊估算缺失的邊緣速度并計算自由流動的行駛時間。
import networkx as nx
import osmnx as ox
import pandas as pd
ox.config(use_cache=True, log_console=True)
place = 'Piedmont, CA, USA'
G = ox.graph_from_place(place, network_type='drive')
# impute missing edge speeds and add travel times
G = ox.add_edge_speeds(G)
G = ox.add_edge_travel_times(G)
# calculate route minimizing some weight
orig, dest = list(G)[0], list(G)[-1]
route = nx.shortest_path(G, orig, dest, weight='travel_time')
# OPTION 1: see the travel time for the whole route
travel_time = nx.shortest_path_length(G, orig, dest, weight='travel_time')
print(round(travel_time))
# OPTION 2: loop through the edges in your route
# and print the length and travel time of each edge
for u, v in zip(route[:-1], route[1:]):
length = round(G.edges[(u, v, 0)]['length'])
travel_time = round(G.edges[(u, v, 0)]['travel_time'])
print(u, v, length, travel_time, sep='\t')
# OPTION 3: use get_route_edge_attributes
cols = ['osmid', 'length', 'travel_time']
attrs = ox.utils_graph.get_route_edge_attributes(G, route)
print(pd.DataFrame(attrs)[cols])
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