Mapping the Distance From DCFCs

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SpaceEVDriver

Scout Community Veteran
Oct 26, 2024
2,082
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Arizona
I’ve posted versions of these maps elsewhere, but I had a little bit of time to write some new code and map out the isodistance maps from each DCFC in the US and Canada (the only regions for which I have data—I know I could pull other data, but these were easy).

Previously I just used a radius instead of mapping along roads. These new maps use mapped roads in OpenStreetMaps. If there are any roads that aren’t in that database, they were not included.

This first map is 80 km or ~50 mile isodistance polygons. The other maps are still being generated and will take a bit of time to finalize. I hope to have them done in the next couple of days.

I created a heatmap-like result for this to highlight where there’s almost no chance of running out of battery if you pay much attention to your battery. Interestingly, west of about 100 degrees longitude, things suddenly get much more sparse until you get to California and the Pacific Northwest. A reminder that this is a map for 80 km (50 miles), so this is kind of a bare-bones sparsity. The black lines are the edges of the polygon—the roads that don’t have many other roads branching out from them. This map is for you to worry about taking a road trip in your old Leaf, not for your Scout.

ev_charger_80km_50miles_isolines.png
 
I’ve posted versions of these maps elsewhere, but I had a little bit of time to write some new code and map out the isodistance maps from each DCFC in the US and Canada (the only regions for which I have data—I know I could pull other data, but these were easy).

Previously I just used a radius instead of mapping along roads. These new maps use mapped roads in OpenStreetMaps. If there are any roads that aren’t in that database, they were not included.

This first map is 80 km or ~50 mile isodistance polygons. The other maps are still being generated and will take a bit of time to finalize. I hope to have them done in the next couple of days.

I created a heatmap-like result for this to highlight where there’s almost no chance of running out of battery if you pay much attention to your battery. Interestingly, west of about 100 degrees longitude, things suddenly get much more sparse until you get to California and the Pacific Northwest. A reminder that this is a map for 80 km (50 miles), so this is kind of a bare-bones sparsity. The black lines are the edges of the polygon—the roads that don’t have many other roads branching out from them. This map is for you to worry about taking a road trip in your old Leaf, not for your Scout.

View attachment 11880
Wow. Very cool
 
I am also happy to take reasonable requests to zoom into an area and post a much higher-resolution map.
I think your most useful zoom in areas would be the areas that are more sparse. Say areas surrounding places like Yellowstone, or other national parks. Or basically just the western half of the US. These are the types of areas where Harvester is more desired I’m sure.
 
I think your most useful zoom in areas would be the areas that are more sparse. Say areas surrounding places like Yellowstone, or other national parks. Or basically just the western half of the US. These are the types of areas where Harvester is more desired I’m sure.
Definitely. I’ll create some zooms for those. I don’t think the 80 km (50 mile) isodistances are especially useful for considering reachability in a vehicle like the Scout; this map was more of a proof of concept.

My compute system has been running for several days to produce the 240 km (150 mile) maps. The 160 km (100 mile) maps are mostly completed, but I have to re-run several. Won’t be able to get to those until sometime during the week.

It turns out that computing every branching pathway becomes incredibly computationally expensive as you move farther from the source. I’m working on a method for improving speed, which I’ll need if I want to run the 320 (200 mile) isodistance calculations.