Script that generates a map plot of a VROOM solution #60
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| import json | ||
| import sys | ||
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| # Given a VROOM solution with latlng locations, generates a map of the paths of the vehicles (up to 15 vehicles) |
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I guess the 15 limit is related to the size of the colors list. It would be possible to loop through that list, pretty much as we do it in the plot.py script here.
| first_step = vroom_res['routes'][0]['steps'][0] | ||
| center_lat = first_step['location'][1] | ||
| center_lng = first_step['location'][0] | ||
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| map_center = [center_lat, center_lng] | ||
| map = folium.Map(location=map_center, zoom_start=10) |
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Depending on the problem extent, we may want a different center and zoom. For example for a country-scale problem, the solution does not fit in the initial view by default.
It would be possible to expand a bounding box while going through the routes and steps, then after that fit the map zoom to this bounding box.
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| coords.append((current_lat, current_lng)) | ||
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| folium.PolyLine(locations=coords, color=colors[i]).add_to(map) |
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In most real setups, one wants to get the geometry of the route in output (see .routes[].geometry). Especially for a map plot, it would be better to use that instead of crow-flies lines as we do in plot.py.
I don't know if folium has support for polyline format (that is how the geometry is encoded in the response) but there is probably an easy way to decode that in python and then feed the array of coordinates to folium for the actual route geometry.
Script that uses Folium to generate a map showing the stops and routes taken by the vehicles. Each vehicle is represented by a different color. Currently, there are 15 possible colors.