When optimizing delivery routes, not all time spent at a stop is the same. Over the years, we’ve added several timing parameters to model real-world scenarios more accurately. With our latest addition, setup_time, we now cover another common case: fixed overhead when arriving at a location. The Timeline at a Stop Let me walk through […]
For a decade, I’ve wanted to build a simple game that shows why the Traveling Salesman Problem is fun to work on. Something I could pull up at a party when someone asks “so what does your company actually do?” Something my kids could play and understand why dad stares at vehicle routing problems all […]
Suppose you have 50 deliveries and you hire four drivers to make those deliveries. Each driver is either paid for a certain number of hours or is paid for a certain number of jobs. In this case, you wouldn’t necessarily want one driver to get all 50 deliveries, even if this minimizes the total variable […]
Imagine you are in a foreign city and need to visit fifty different locations that day. Which way should you go? Or let alone which is the best order to visit all these places? GraphHopper’s Route Optimization API is a powerful tool that lets you easily calculate efficient round tours like this for a selection […]
Introduction A few years ago, we wrote a tutorial to show you how to model a traveling salesman problem with a week-planning horizon. Since then we have been improving our API a lot and I would like to show you how easy it is now to model this with driver shifts. For example, suppose you […]
