This article shows how to solve a time-dependent vehicle routing problem with cargo bikes and small trucks with GraphHopper’s Optimizaton API. Lets assume that you want to solve a vehicle routing problem with a mixed fleet. The fleet consists of cargo bikes and small trucks, and you want to employ the fleet such that products […]
These are the three basic steps to solve a real world vehicle routing problem with GraphHopper’s Optimization API: 1) Assign geo locations to (road) network 2) Calculate travel times and distances 3) Solve vehicle routing problem Each step impacts the solution of the vehicle routing problem. This article illustrates how 1) – the assignment of […]
Introduction In this tutorial we are going to show you how to model a vehicle routing problem with vehicles that can have multiple return trips to the depot or hub. For example, let us assume you have 2 drivers that have a car much like the one on the figure below. It has an electric […]
Every optimization requires an objective ie. a goal to which the results should be optimize for. Here, we want to illustrate the differences between two objectives: min transport time and min completion time. Using the GraphHopper Directions API the specification of these goals is as simple and intuitive as the following json snippets: or Transport […]
Introduction In this tutorial we are going to show you how to model a vehicle routing problem where tasks do not only have multiple dependencies, but also require special skills. For example, let us assume we have two technicians called Peter and Stefan. Peter cannot only read the warm water meter, but he can also […]