我如何在OpenStreetMap上获得最短路径?

问题描述 投票:0回答:1

我一直在努力寻找OpenStreetMap上的最短路径。但是路线的某些部分与实际道路不符。如图所示。 The routes do not match the actual roads.有什么办法可以解决此问题?另外,以下是代码:

import osmnx as ox
import networkx as nx
import folium

lat = [-33.889606, -33.889927, -33.889155, -33.891134]
lon = [151.283306, 151.280497, 151.278007, 151.274453]

fmap = folium.Map(location=[-33.889606, 151.283306], zoom_start=15)
colors=["red", "yellow", "green"]

for i in range(3):
    G = ox.graph_from_point((-33.889606, 151.283306), distance=4000,network_type='drive')
    a = ox.get_nearest_node(G, (lat[i], lon[i]))
    b = ox.get_nearest_node(G, (lat[i+1], lon[i+1]))
    route = nx.shortest_path(G, a, b)
    gdf_nodes, gdf_edges = ox.graph_to_gdfs(G)
    latitude = gdf_nodes.loc[route].y
    longitude = gdf_nodes.loc[route].x

    latitude = latitude.values
    longitude = longitude.values

    latitude=latitude.tolist()
    longitude=longitude.tolist()

    coordinate=[]
    for j in range(len(latitude)):
        coordinate.append([latitude[j],longitude[j]])
    fmap.add_child(folium.PolyLine(locations=coordinate, weight=5, color=colors[i]))

fmap
python openstreetmap shortest-path osmnx
1个回答
0
投票

您可以使用OSMnx执行此操作。以下代码段使用叶片将可视化的路线可视化,同时保持弯曲的街道几何形状:

import networkx as nx
import osmnx as ox
ox.config(use_cache=True, log_console=True)

# get a graph
G = ox.graph_from_place('Piedmont, California, USA', network_type='drive')

# impute missing edge speed and add travel times
G = ox.add_edge_speeds(G)
G = ox.add_edge_travel_times(G)

# calculate shortest path minimizing travel time
orig, dest = list(G)[0], list(G)[-1]
route = nx.shortest_path(G, orig, dest, 'travel_time')

# create folium web map
route_map = ox.plot_route_folium(G, route)
route_map

enter image description here

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