We are happy to announce our new API docs. We specified our APIs in the OpenAPI specification language and moved the entire content of our old documentation to a single OpenApi 3.0 document. This has many advantages: There is only a single source for the documentation of new features, and for generating client code to […]

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 […]

This article describes how we calculate and prepare travel time matrices to solve time dependent vehicle routing problems. Let me first explain what a typical vehicle routing problem is: Given a vehicle fleet and a number of customers, find the optimal set of vehicle routes to serve all customers and to minimize total transportation costs, […]

Load balancing in the context of vehicle routing problems is a way to achieve a more evenly distribution of jobs or activities over your drivers’ routes. There are a number of reasons to balance load. The most obvious ones are resource utilization and fairness. Why do we need a blog post for this? Why aren’t […]

We are happy to announce our new product: time-dependent route optimization. To illustrate what this actually means, let us assume we have a number of drivers who need to serve 40 customers in London within a time window of 2 hours. All drivers start from the airport London Heathrow and do not need to return […]