So I was playing with the commuter mapping program the other day after doing some simple maintenance, just finding routes from here to there, and it started bothering me again that I could not route onto the towpath from Sand Island — the network was incorrect, it had no intersection from Main Street onto the path.
I get my road data from OpenStreetmap, and I know that, in OSM, the trail is properly connected at Sand Island — I fixed that myself years ago, but never went through the rigamarole of updating and rebuilding my network. It didn’t seem worth the work for such a small change. There is another way to make that change though: I could modify my existing network, but that always seemed like it would be even more complicated and difficult than rebuilding from scratch.
But would it be? The task really boils down to two things: adding a node where I want the new intersection to be, and then splitting the newly intersecting roads in two at the intersection point. Adding a node is easy enough, but splitting a road has a lot of moving parts — each of the two new road segments has to be assigned about 30 attributes, some of which they can inherit directly from the original road, others basically pro-rated from the original road based on the new road segment lengths, and yet others related to connecting the new road segments to the new node. It’s straightforward, but there are a lot of small, tedious calculations to perform and keep track of. Sounds like a job for the computer…
What I did was write a PostgreSQL function that takes the node and the road, and returns two new road segments. I also wrote a wrapper script to update the network by calling this function. (I decided to just add my new nodes “by hand.”) It mostly works, though in one test case it didn’t split the road exactly where I thought it should (no idea why), and the new network routes like a champ.
This isn’t a substitute for rebuilding the network: this is a quick fix for a small problem, and the the pro-rated attributes especially are a hack, an approximation; I can easily see situations where pro-rating say, ascent/descent data would be inaccurate. But this is fine for now.
