Using osm2po to solve Travelling Salesman Problem
Hiking & ActivitiesTackling the Traveling Salesman Problem with osm2po: A Real-World Guide
Ever heard of the Traveling Salesman Problem? It’s a brain-teaser that’s stumped mathematicians and computer scientists for decades. The basic idea is this: you’ve got a bunch of cities, and you need to figure out the shortest route that hits each one exactly once before looping back home. Sounds simple, right?
Well, here’s the kicker: it’s an NP-hard problem. What that really means is that as you add more cities, the computing power needed to find the absolute best route explodes. Forget about doing it by hand! But don’t worry, we don’t always need the perfect solution. Sometimes, a really good solution is good enough, and that’s where tools like osm2po come to the rescue.
Think of the TSP as more than just a salesman’s headache. It pops up all over the place! Logistics companies use it to optimize delivery routes, manufacturers use it to arrange components on a microchip, and even scientists use it for things like DNA sequencing. Anywhere you need to minimize travel or cost between multiple points, you’re basically dealing with a TSP in disguise. And trust me, the real world throws in curveballs like time windows and limited truck capacity, turning it into a whole new beast called the Vehicle Routing Problem (VRP).
So, what’s osm2po? It’s a nifty, free, and open-source tool that takes OpenStreetMap (OSM) data and turns it into a map that computers can understand for routing. I like to think of it as a translator, converting human-readable maps into machine-readable instructions. What’s cool is that it can handle massive amounts of data – entire countries, even! – without choking.
osm2po can spit out SQL files for PostGIS, making it play nice with pgRouting and QGIS. Plus, it’s got a built-in web server that can dish out routes in formats like CSV and GeoJSON. Pretty versatile, if you ask me.
Okay, let’s get down to brass tacks. How do you actually use osm2po to solve the TSP? Here’s the lowdown:
Grab some map data: You’ll need OpenStreetMap data for the area you’re interested in. Geofabrik and Mapzen are your friends here. Download it in .osm.pbf format – it’s nice and compact.
Install osm2po: Head over to the osm2po website and grab the latest version. Make sure you have Java 8 or later installed first.
Tweak the settings: The osm2po.config file lets you customize how osm2po works. You can tell it what types of roads to include, set speed limits, and more. Pay attention to things like prefix (for naming your output files) and the wtr.tag.highway.* settings.
Convert the data: Fire up the command line and run osm2po to convert the OSM data into a routable map. The command will look something like this:
bash
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